Method for providing an ai model agent-based planning and design automation solution for exhibition and convention event planning

Abstract

The device according to one embodiment collects event planning data related to an exhibition and convention event, derives planning elements of the exhibition and convention event using an artificial intelligence model agent based on the event planning data, generates an event planning strategy for the exhibition and convention event based on the derived planning elements, constructs event planning information including an event proposal, an event operation scenario, design configuration information, and event execution plan information using the generated event planning strategy, and then provides the constructed event planning information to a user's terminal.

Description

Technology Field

[0001] The following embodiments relate to a technology for automatically designing and optimizing event planning strategies, event operation scenarios, and event planning information using an artificial intelligence model agent based on event planning data related to exhibition and convention events. Background Technology

[0002] In the exhibition and convention industry, event planning content is structured by comprehensively analyzing bidding information from contracting agencies, event objectives, industry sectors, international cooperation relationships, and the characteristics of target participants to plan various types of events such as international forums, symposiums, exhibitions, and conferences.

[0003] In particular, event planners investigate the commissioning agency's policy direction, industry trends, international cooperation issues, and past event execution cases, and then manually design the event theme, session structure, speaker lineup, spatial configuration, design concept, and operational strategy; this process consumes a significant amount of time and manpower.

[0004] Furthermore, while there have recently been increasing attempts to utilize generative AI technology to assist with event planning, most technologies remain at the level of simple document generation or keyword recommendation. Consequently, they face limitations in generating strategy-oriented event planning strategies that comprehensively reflect the client's intentions, evaluation criteria, event objectives, and industry characteristics. In particular, existing technologies suffer from a lack of capabilities to dynamically reconfigure planning elements in response to changes in event strategy, or to optimize operations by linking them with spatial configurations.

[0005] Accordingly, there is a need to develop a method for providing an AI model agent-based planning and design automation solution for exhibition and convention event planning that can automatically generate event strategies based on event planning data and ordering agency information, and dynamically optimize the event planning structure to correspond to event objectives and evaluation criteria. Prior art literature

[0006] Republic of Korea Registered Patent No. 10-2808603 (Published April 14, 2025) Republic of Korea Registered Patent No. 10-2350131 (Published January 11, 2022) Republic of Korea Registered Patent No. 10-2775669 (Published March 11, 2025) Republic of Korea Registered Patent No. 10-2911411 (Published January 16, 2026) The problem to be solved

[0007] The embodiments aim to automatically design and provide event planning strategies, event operation scenarios, and event execution plan information using an artificial intelligence model agent based on event planning data related to exhibition and convention events.

[0008] The embodiments aim to generate an event planning strategy that can enhance the suitability of the event purpose and the suitability of the winning strategy by analyzing information on ordering agencies, industry trends, country types, event purposes, and winning bid success patterns.

[0009] The embodiments aim to improve the completeness and strategic alignment of event planning corresponding to exhibition and convention events by analyzing the planning deviation index and planning deviation degree resulting from changes in event planning strategies, and by dynamically correcting and reconstructing the event planning composition.

[0010] The objectives of the present invention are not limited to those mentioned above, and other unmentioned objectives will be clearly understood from the description below. means of solving the problem

[0011] A method for providing an AI model agent-based planning design automation solution for planning exhibition and convention events according to an embodiment of the present invention may include: collecting event planning data related to an exhibition and convention event; deriving planning elements of the exhibition and convention event using an artificial intelligence model agent based on the event planning data; generating an event planning strategy for the exhibition and convention event based on the derived planning elements; configuring event planning information including an event proposal, an event operation scenario, design configuration information, and event execution plan information using the generated event planning strategy; and providing the configured event planning information to a user's terminal.

[0012] The step of generating the above-mentioned event planning strategy comprises: a step of obtaining information on the ordering agency, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information from the collected event planning data during a preset event analysis period; a step of calculating an event strategy index by identifying keywords of institutional interest, industry issue indicators, national cooperation characteristics, institutional response characteristics, national exchange characteristics, event purpose characteristics, industry linkage characteristics, and successful bid strategy patterns from the above-mentioned ordering agency information, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information; a step of determining the scope of the basic planning design inversely proportional to the above-mentioned event strategy index; a step of extracting, respectively, agency requirement patterns, industry issue patterns, agency type patterns, country type patterns, event purpose patterns, and successful bid strategy patterns that satisfy a preset standard for the abnormal rate from the above-mentioned ordering agency information, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information; and a step of generating an agency response design area by applying the above-mentioned basic planning design scope to the item corresponding to the above-mentioned agency requirement pattern as a reference point. Step, a step of creating an industry response design area by applying the basic planning design scope using an item corresponding to the above industry issue pattern as a reference point, a step of creating an institution type response design area by applying the basic planning design scope using an item corresponding to the above institution type pattern as a reference point, a step of creating a country type response design area by applying the basic planning design scope using an item corresponding to the above country type pattern as a reference point, a step of creating an event purpose response design area by applying the basic planning design scope using an item corresponding to the above event purpose pattern as a reference point, institution characteristic data included in the above institution response design area, industry characteristic data included in the above industry response design area,The method may include the step of generating strategic keywords by inputting institution type characteristic data included in the institution type response design area, country type characteristic data included in the country type response design area, and event purpose characteristic data included in the event purpose response design area into an artificial intelligence model agent trained to generate an event planning strategy, and the step of generating an event planning strategy based on the strategic keywords. The step of generating strategic keywords may include the operation of comparing a first ratio, which is the ratio of data corresponding to the institution requirement pattern among the institution characteristic data, with a second ratio, which is the ratio of data corresponding to the industry issue pattern among the industry characteristic data; the operation of comparing a third ratio, which is the ratio of data corresponding to the institution type pattern among the institution type characteristic data; a fourth ratio, which is the ratio of data corresponding to the country type pattern among the country type characteristic data; and a fifth ratio, which is the ratio of data corresponding to the event purpose pattern among the event purpose characteristic data. If the first ratio is greater than or equal to the second ratio, the operation of generating additional strategic keywords containing policy linkage information in proportion to the difference between the first ratio and the second ratio to enhance the effect of responding to the ordering institution; and if the first ratio is less than the second ratio, the operation of generating strategic keywords containing industry trend information to enhance the effect of reflecting industry issues. It may include an operation of generating additional strategy keywords proportional to the difference, and an operation of generating additional strategy keywords to increase the suitability of the event purpose and the suitability of the winning bid strategy based on characteristic information corresponding to the highest ratio among the third ratio, the fourth ratio, and the fifth ratio, and the event planning strategy may include weights based on changes in the event strategy index calculated during the process of generating event planning information for exhibition and convention events, the institution-response design area, the industry-response design area, the institution-type-response design area,The scope of the planning design can be gradually expanded by applying it to the above-mentioned country type corresponding design area and the above-mentioned event purpose corresponding design area, respectively.

[0013] The step of configuring the above event planning information comprises: a step of obtaining ordering agency information, event purpose information, industry sector information, and event operation information during a preset event planning period from the above collected event planning data; a step of obtaining event venue information, target audience information, event schedule information, and design configuration information during the above event planning period from the above collected event planning data; a step of calculating a planning deviation index by analyzing the current event configuration status, degree of reflection of the event purpose, configuration repeatability, operational concentration, and design variation degree based on the above preset event planning standard information, event venue information, target audience information, event schedule information, and design configuration information; a step of classifying the above event planning strategy as a planning deviation strategy if the above planning deviation index is above a preset standard, and classifying the above event planning strategy as a normal planning strategy if the above planning deviation index is below the preset standard; a step of inputting the event purpose information, industry sector information, and design configuration information included in the above planning deviation strategy into an artificial intelligence model agent to classify the above planning deviation strategy into a planning correction-capable strategy and a planning reconfiguration-required strategy; a step of calculating the planning deviation degree for each strategy based on the event planning data corresponding to the above normal planning strategy and planning deviation strategy; and planning for the above planning correction-capable strategy. A step of verifying a basic planning range pre-set according to the planning deviation index when the deviation is less than the planning deviation for the strategy requiring planning reconfiguration; a step of determining a planning correction range by applying a reduction weighting factor based on the planning deviation for the strategy requiring planning reconfiguration to the basic planning range when the planning deviation for the strategy capable of planning correction is greater than or equal to the planning deviation for the strategy requiring planning reconfiguration and the planning deviation for the strategy requiring planning reconfiguration decreases.The method may include: a step of determining a planning correction range by applying an increasing weight according to the strategy requiring planning reconfiguration to the basic planning range when the planning deviation for the planning correction-possible strategy is greater than or equal to the planning deviation for the strategy requiring planning reconfiguration and the planning deviation for the strategy requiring planning reconfiguration increases; a step of extracting planning correction data within the determined planning correction range based on information collected from the event venue information, target participant information, event schedule information, and design configuration information; a step of determining planning adjustment information by analyzing, based on the planning correction data, whether the cause of the planning deviation is insufficient reflection of the event purpose, insufficient linkage with the industry sector, imbalance in event operation configuration, or discrepancy in design configuration; a step of determining a planning correction order according to the order of applying the planning correction data first when the difference in planning deviation between the planning correction-possible strategy and the strategy requiring planning reconfiguration is greater than or equal to a preset standard; a step of determining a planning correction order according to the order of applying the new event planning strategy of the strategy requiring planning reconfiguration first when the difference in planning deviation between the planning correction-possible strategy and the strategy requiring planning reconfiguration is less than a preset standard; and a step of updating event planning information according to the planning correction range and the planning correction order.

[0014] The step of configuring the above event planning information comprises: a step of calculating a session linkage index by analyzing event purpose information, country type information, industry sector information, and target audience information based on the above event planning strategy and event planning data; a step of generating multiple session groups and panel configurations by analyzing the thematic relevance, presentation flow continuity, and target audience concentration for each session based on the above session linkage index; a step of classifying panels requiring session reconfiguration and priority placement panels by analyzing the degree of expertise overlap between panels, suitability for national exchange, and responsiveness to the event purpose from the generated session groups and panel configurations; a step of calculating a speaker response index and an interpretation linkage index based on speaker information, interpretation information, and event operation information included in the priority placement panels; a step of reconfiguring an event operation scenario including the event sequence, presentation order, and interpretation placement order based on the above speaker response index and interpretation linkage index; a step of calculating a venue suitability index by analyzing spatial concentration, movement dispersion, and operational conflict based on the above event venue information, target audience information, event operation information, and the reconfigured event operation scenario; and spatial configuration information including an event purpose response area, a session operation area, and a participant movement area based on the above venue suitability index. It may include an additional step of generating and reflecting it in event planning information.

[0015] The step of providing the above-configured event planning information to a user's terminal comprises: analyzing the bid announcement information, ordering agency information, event purpose information, and industry sector information included in the event planning data to extract the ordering agency's institutional purpose keywords, policy linkage keywords, and evaluation criteria keywords; generating institutional intent information including the ordering agency's event promotion purpose, key evaluation items, and priority consideration strategies based on the institutional purpose keywords, policy linkage keywords, and evaluation criteria keywords; analyzing the degree of correspondence for each evaluation item by comparing the institutional intent information with the event proposal, event operation scenario, design configuration information, and event execution plan information included in the event planning information; calculating a proposal evaluation index including event purpose suitability, policy linkage suitability, industry sector suitability, operation strategy suitability, and design strategy suitability based on the degree of correspondence for each evaluation item; extracting planning elements among the planning elements included in the event planning information whose evaluation contribution is less than the preset standard if the proposal evaluation index is below the preset standard; generating strategy correction keywords and evaluation supplement keywords corresponding to the planning elements based on the extracted planning elements and institutional intent information; and reconstructing the event planning strategy and event planning information by reflecting the strategy correction keywords and evaluation supplement keywords. The method may include the steps of: recalculating a proposal evaluation index for the reconstructed event planning information and determining the event planning information as the final event planning information if the proposal evaluation index is greater than or equal to a preset standard; and providing the determined final event planning information to the user's terminal.

[0016] A device according to one embodiment may be combined with hardware and controlled by a computer program stored on a medium to execute the method of any one of the methods described above. Effects of the invention

[0017] The embodiments can improve the strategic suitability and likelihood of winning bids for event planning corresponding to exhibition and convention events by automatically generating event planning strategies based on ordering agency information, industry trend information, country type information, and event purpose information.

[0018] The embodiments can improve the connectivity between event operation scenarios corresponding to the event purpose, design configuration information, and event execution plan information by dynamically correcting and reconstructing event planning information based on the event strategy index, planning deviation index, and planning deviation.

[0019] The embodiments can reduce the time and manpower burden required for the exhibition and convention event planning process and improve event operation efficiency by integrally designing session configuration, event operation flow, space configuration, and planning strategy using an artificial intelligence model agent.

[0020] Meanwhile, the effects according to the embodiments are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description below. Brief explanation of the drawing

[0021] FIG. 1 is a drawing for explaining the configuration of a system according to one embodiment. FIG. 2 is a flowchart illustrating the process of providing an AI model agent-based planning and design automation solution for exhibition and convention event planning according to one embodiment. FIG. 3 is a flowchart illustrating the process of generating an event planning strategy according to one embodiment. FIG. 4 is a flowchart illustrating the process of generating strategy keywords according to one embodiment. FIG. 5 is a flowchart illustrating the process of configuring event planning information according to one embodiment. FIG. 6 is a flowchart illustrating the process of updating event planning information according to one embodiment. FIG. 7 is a flowchart illustrating the process of generating spatial configuration information according to one embodiment and reflecting it in event planning information. FIG. 8 is a flowchart illustrating the process of providing event planning information configured according to one embodiment to a user's terminal. FIG. 9 is an example diagram of the configuration of a device according to one embodiment. Specific details for implementing the invention

[0022] Hereinafter, embodiments are described in detail with reference to the attached drawings. However, various modifications may be made to the embodiments, and thus the scope of the patent application is not limited or restricted by these embodiments. It should be understood that all modifications, equivalents, and substitutions to the embodiments are included within the scope of the rights.

[0023] Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to the specific disclosed forms, and the scope of this specification includes modifications, equivalents, or substitutions that fall within the technical concept.

[0024] Terms such as "first" or "second" may be used to describe various components, but these terms should be interpreted solely for the purpose of distinguishing one component from another. For example, the first component may be named the second component, and similarly, the second component may be named the first component.

[0025] When it is stated that a component is "connected" to another component, it should be understood that it may be directly connected to or coupled with that other component, or that there may be other components in between.

[0026] The terms used in the embodiments are for illustrative purposes only and should not be interpreted as intended to be limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprising" or "having" are intended to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0027] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments pertain. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0028] In addition, when describing with reference to the attached drawings, identical components are assigned the same reference numeral regardless of drawing symbols, and redundant descriptions thereof are omitted. In describing the embodiments, if it is determined that a detailed description of related prior art could unnecessarily obscure the essence of the embodiments, such detailed description is omitted.

[0029] The embodiments can be implemented in various forms of products such as personal computers, laptop computers, tablet computers, smartphones, televisions, smart home appliances, intelligent automobiles, kiosks, and wearable devices.

[0030] In the present invention, Artificial Intelligence (AI) refers to a technology that imitates human learning ability, reasoning ability, and perceptual ability, and implements them on a computer, and may include concepts such as machine learning and symbolic logic. Machine Learning (ML) is an algorithmic technology that classifies or learns the characteristics of input data on its own. AI technology can analyze input data as a machine learning algorithm, learn from the results of the analysis, and make judgments or predictions based on the results of the learning. Furthermore, technologies that mimic the functions of the human brain, such as cognition and judgment, by utilizing machine learning algorithms can also be understood as falling within the category of AI. For example, technological fields such as linguistic understanding, visual understanding, reasoning / prediction, knowledge representation, and motion control may be included.

[0031] Machine learning can refer to the process of training neural network models using experience in processing data. It implies that through machine learning, computer software improves its own data processing capabilities. A neural network model is constructed by modeling the correlations between data, and these correlations can be expressed by multiple parameters. A neural network model extracts and analyzes features from given data to derive correlations between them; machine learning can be defined as the process of optimizing the model's parameters by repeating this process. For example, a neural network model can learn the mapping (correlation) between inputs and outputs for data given as input-output pairs. Alternatively, even when only input data is provided, a neural network model can derive regularities between the given data and learn those relationships.

[0032] An artificial intelligence learning model or neural network model can be designed to implement the structure of the human brain on a computer and may include multiple network nodes that have weights and simulate neurons of a human neural network. The multiple network nodes may have interconnected relationships by simulating the synaptic activity of neurons, where neurons exchange signals through synapses. In an artificial intelligence learning model, multiple network nodes may be located in layers of different depths and exchange data according to convolutional connections. The artificial intelligence learning model may be, for example, an Artificial Neural Network (ANN) or a Convolutional Neural Network (CNN). As an embodiment, the artificial intelligence learning model may be machine learned according to methods such as supervised learning, unsupervised learning, and reinforcement learning. Machine learning algorithms for performing machine learning may include Decision Tree, Bayesian Network, Support Vector Machine, Artificial Neural Network, Ada-boost, Perceptron, Genetic Programming, and Clustering.

[0033] Among these, CNNs are a type of multilayer perceptron designed to use minimal preprocessing. CNNs consist of one or more convolutional layers and standard artificial neural network layers stacked on top, additionally utilizing weights and pooling layers. Thanks to this structure, CNNs can fully utilize two-dimensional input data. Compared to other deep learning architectures, CNNs demonstrate good performance in both image and audio fields. CNNs can also be trained using standard backpropagation. CNNs have the advantage of being easier to train than other feedforward artificial neural network techniques and using a small number of parameters.

[0034] Convolutional networks are neural networks comprising sets of nodes with bounded parameters. Many computer vision tasks have been significantly improved, driven by the increased size of available training data and the availability of computational power, combined with algorithmic advancements such as discriminative linear units and dropout training. In the case of massive datasets, such as those available for many tasks today, outfitting is not critical, and increasing the network size improves test accuracy. Optimal utilization of computing resources becomes a limiting factor. To address this, distributed, scalable implementations of deep neural networks can be employed.

[0035] The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0036] FIG. 1 is a drawing for explaining the configuration of a system according to one embodiment.

[0037] Referring to FIG. 1, a system according to one embodiment may include a user terminal (10) and a device (30) capable of communicating with each other through a communication network.

[0038] First, the communication network can be configured regardless of the mode of communication, such as wired or wireless, and can be implemented in various forms to enable communication between servers and between servers and terminals.

[0039] The user's terminal (10) may be a terminal used by a user who wishes to use the AI ​​model agent-based planning and design automation solution for planning exhibition convention events according to the present invention. The user's terminal (10) may be a desktop computer, a laptop, a tablet, a smartphone, a kiosk terminal, etc. For example, as shown in FIG. 1, the user's terminal (10) may be a smartphone, and may be adopted differently depending on the embodiment.

[0040] The user's terminal (10) may be configured to perform all or part of the computational functions, storage / reference functions, input / output functions, and control functions that a conventional computer has. The user's terminal (10) may be configured to communicate with the device (30) via wired or wireless means.

[0041] The user's terminal (10) may be connected to a web page operated by a person or organization providing a service using the device (30), or may have an application developed and distributed by a person or organization providing a service using the device (30) installed. The user's terminal (10) may be linked with the device (30) through a web page or an application.

[0042] The user's terminal (10) can access the device (30) through a web page, application, etc. provided by the device (30).

[0043] A singular expression in a claim may be understood to include a plural.

[0044] The device (30) can provide an automated planning and design solution for exhibition, convention, and event planning using an artificial intelligence model agent.

[0045] Specifically, the device (30) can collect event planning data related to exhibition and convention events and, based on the collected data, use a pre-trained artificial intelligence model agent to derive planning elements including event themes, event operation strategies, session composition, design composition, and event execution plan information.

[0046] Additionally, the device (30) can calculate an event strategy index by analyzing information on ordering agencies, industry trends, country types, event purposes, and successful bid patterns, and can generate an event planning strategy to increase the suitability of the event purpose and the suitability of the bid strategy.

[0047] Additionally, the device (30) can organize event planning information including an event proposal, an event operation scenario, design configuration information, and event execution plan information based on the generated event planning strategy, and can dynamically correct and reconstruct the event planning information by analyzing the planning deviation index and the planning deviation.

[0048] At this time, a detailed description of the process of providing an artificial intelligence model agent-based exhibition convention event planning and design automation solution will be described later with reference to FIGS. 2 to 8.

[0049] The device (30) may be a private server owned by the entity or organization providing the service using the device (30), a cloud server, or a peer-to-peer (P2P) set of distributed nodes. The device (30) may be configured to perform all or part of the computational functions, storage / reference functions, input / output functions, and control functions that a conventional computer possesses.

[0050] The device (30) may be configured to communicate with the user's terminal (10) via wired or wireless means, control the operation of the user's terminal (10), and control which information to display on the screen of the user's terminal (10).

[0051] Meanwhile, for convenience of explanation, only the user terminal (10) is shown in FIG. 1, but the number of terminals can vary depending on the embodiment. As long as the processing capacity of the device (30) allows, there is no particular limit to the number of terminals.

[0052] According to one embodiment, a database may be provided within the device (30), but is not limited thereto, and a database may be configured separately from the device (30). The device (30) may include a plurality of artificial neural networks for performing machine learning algorithms.

[0053] FIG. 2 is a flowchart illustrating the process of providing an AI model agent-based planning and design automation solution for exhibition and convention event planning according to one embodiment.

[0054] Referring to FIG. 2, first in step S201, the device (30) can collect event planning data related to exhibition convention events.

[0055] The device (30) can collect event planning data from multiple external data sources to automatically design event planning information corresponding to exhibition convention events.

[0056] In this regard, event planning data may serve as reference information for determining the planning direction and event strategy of exhibition and convention events, and may include, for example, bid announcement information, event purpose information, ordering agency information, industry sector information, target country information, and past event execution information, but is not limited thereto.

[0057] Information regarding bid announcements may include the Request for Proposal (RFP), Statement of Work, Criteria, Budget Range, Event Schedule Conditions, and Participation Scale Conditions provided by the contracting authority, and information regarding the purpose of the event may include information regarding the purpose of international exchange, industrial promotion, technology cooperation, policy announcement, and investment attraction, but is not limited thereto.

[0058] In addition, information on the ordering agency may refer to the type of agency, the agency's policy direction, the agency's industry linkage characteristics, and past event operation tendencies, and information on the industrial sector may include, but is not limited to, information on industry characteristics regarding the energy industry, semiconductor industry, bio industry, environmental industry, and cultural industry.

[0059] The device (30) can obtain basic data for generating event strategies corresponding to exhibition and convention events by collecting event planning data.

[0060] According to one embodiment, the device (30) may use a plurality of data provision paths to collect event planning data.

[0061] For example, the device (30) may collect bid announcement information and event purpose information from the website of the ordering agency, the government procurement system, the international event platform, and the industry association server, and may also directly receive event purpose information, desired event scale information, preferred event type information, and event operation request information from the user's terminal (10).

[0062] In addition, the device (30) can receive industrial trend information and national cooperation information from an external industrial data server, and can extract key keywords, policy direction information and industrial issue information by analyzing sentences included in news articles, industrial reports and policy materials.

[0063] The device (30) can convert data collected in different formats into a common data structure, and the common data structure may refer to a standard data format for performing comparative analysis between event planning data. For example, the common data structure may include, but is not limited to, an event purpose classification field, an industry sector classification field, a country type classification field, an event scale classification field, and a target participant classification field.

[0064] Additionally, the device (30) can remove duplicate data, erroneous data, and data with low recency, or reduce weights, and can build event planning data suitable for generating event planning strategies by performing the data collection and normalization process.

[0065] For example, the device (30) can collect event planning data for international forum events related to the nuclear industry. The device (30) can collect information on bid announcements for international nuclear forums from government procurement systems and can extract information on nuclear industry cooperation policies and directions for inter-country technology cooperation from policy data of ordering agencies. In addition, the device (30) can collect information on the energy policies, current status of nuclear power generation, and international cooperation issues of the target country by analyzing industry news data regarding the target country.

[0066] The device (30) can analyze event performance information regarding past international nuclear forums to extract information on the scale of participation, preferred session composition, composition of key speakers, and event operation patterns. For example, the device (30) can confirm from past event performance information that sessions including ministerial-level speakers had a high concentration of participation, and can extract pattern information that the operation time of joint presentation sessions by multiple countries was longer than the average session operation time.

[0067] The device (30) can be used as basic data for future event planning strategies by linking event purpose information and national cooperation characteristics based on the above collection results.

[0068] In step S202, the device (30) can derive planning elements for an exhibition convention event using an artificial intelligence model agent based on event planning data.

[0069] Planning elements may refer to detailed design units for organizing event strategies for exhibition and convention events, and may include, for example, event theme information, session configuration information, speaker configuration information, panel configuration information, design concept information, space configuration information, target audience configuration information, interpretation configuration information, and event operation flow information, but are not limited thereto.

[0070] Specifically, the device (30) may use multiple artificial intelligence model agents to derive planning elements.

[0071] An artificial intelligence model agent may refer to an AI model trained to analyze event planning data and generate planning elements corresponding to a specific purpose, and may include, for example, an AI model for generating event themes, an AI model for organizing sessions, an AI model for organizing designs, an AI model for recommending speakers, and an AI model for generating event operation flows, but is not limited thereto.

[0072] The device (30) can calculate the event purpose suitability by comparing the core keywords included in the bid announcement information with the event purpose information, and the event purpose suitability may refer to information that quantifies the degree of semantic association between the event purpose information and the generated planning elements.

[0073] Additionally, the device (30) can calculate industrial linkage characteristics by analyzing industrial sector information and national cooperation information, and industrial linkage characteristics may mean industrial cooperation possibilities or policy linkage possibilities between a specific industrial sector and the target country for the event.

[0074] The device (30) can derive event theme information and session configuration information based on event purpose suitability and industry linkage characteristics, and can derive interpretation configuration information and space configuration information based on country type information and target audience information.

[0075] Additionally, the device (30) can analyze past event performance information to identify session operation patterns with high participation concentration or space arrangement patterns with high operational satisfaction, and can reflect the identified patterns in the process of creating planning elements.

[0076] According to one embodiment, the device (30) may use an artificial intelligence model agent to derive planning elements corresponding to an exhibition or convention event based on event planning data. The artificial intelligence model agent may refer to an artificial intelligence-based analysis model trained to generate planning elements corresponding to the purpose of the event by analyzing the relationships between information included in the event planning data.

[0077] For example, an AI model agent can perform the role of generating event topic information based on event purpose information and industry sector information, and can perform the role of generating session configuration information and speaker configuration information based on ordering organization information and country type information.

[0078] In addition, the AI ​​model agent can generate spatial configuration information and operational flow information based on participant information and event operation information, and can generate design concept information based on design configuration information and national cooperation information.

[0079] The device (30) can use bid announcement information, event purpose information, ordering agency information, industry sector information, country type information, target participant information, event schedule information and past event performance information as input data input to the artificial intelligence model agent.

[0080] The tender announcement information may include, but is not limited to, a Request for Proposal (RFP), evaluation criteria, budget conditions, and event scale conditions.

[0081] In addition, past event performance information may include, but is not limited to, session composition information, participant information, operational satisfaction information, participant concentration information, and event operation pattern information regarding past events.

[0082] The device (30) can generate planning elements as output data based on the input data, including event theme information, session configuration information, speaker configuration information, panel configuration information, design concept information, space configuration information, interpretation configuration information, and event operation flow information.

[0083] The device (30) may apply a supervised learning method, a reinforcement learning method, and a pattern-based learning method using multiple event planning data to train an artificial intelligence model agent. For example, the device (30) may learn the relationship between event purpose information and actual event operation results by using past event performance information and successful bid pattern information as training data.

[0084] The device (30) can set session configuration information with high participation concentration in past events, space configuration information with high operational satisfaction, and event topic information with high policy linkage as correct answer data, and can control the artificial intelligence model agent to repeatedly learn the relationship between the input data and the correct answer data.

[0085] Additionally, the device (30) can perform a reinforcement learning-based optimization process by setting the event purpose suitability, industry linkage characteristics, national exchange characteristics, and bidding strategy suitability as reward values. The event purpose suitability may refer to the degree of semantic association between the generated planning elements and the event purpose information, and the bidding strategy suitability may refer to the degree to which the generated planning elements match the evaluation criteria of the ordering agency or past bidding patterns.

[0086] The device (30) can re-collect user modification information regarding planning elements generated during the learning process and actual event operation result information as feedback data, and can update the weights of the artificial intelligence model agent using the re-collected feedback data.

[0087] By utilizing the above-mentioned learning structure, the device (30) can more precisely derive planning elements corresponding to the purpose of the event and the characteristics of the ordering organization, and can improve the strategic suitability and operational completeness of event planning information for exhibition and convention events.

[0088] For example, the device (30) can derive planning elements for international forum events related to the nuclear industry. The device (30) can identify the characteristics of the purpose of an international cooperation-centered event by analyzing keywords such as “international technical cooperation,” “energy security,” and “nuclear industry exchange” included in the bid announcement information.

[0089] In addition, the device (30) can analyze information on the Czech Republic's energy policy direction and nuclear power expansion plans from information on the target country of the event, and can analyze information on the export strategy of the domestic nuclear industry from information on the industrial sector.

[0090] The device (30) can derive event topic information such as “Korea-Czech Republic Nuclear Technology Cooperation Forum” based on the analysis results above, and can derive session composition information such as “Next-generation Reactor Technology Session”, “National Energy Policy Session”, and “Industry Cooperation Panel Discussion Session”.

[0091] Additionally, the device (30) can derive interpretation configuration information based on language information corresponding to the target country of the event, and can generate VIP space configuration information and networking space configuration information by analyzing the ratio of government officials and industry officials included in the target information of participants. By deriving planning elements such as the above in conjunction with event purpose information, the device (30) can secure basic configuration information necessary for generating event operation strategies.

[0092] The device (30) can improve the suitability of the event purpose and strategic linkage based on the derived planning elements. For example, if session configuration information that differs from the event purpose information is derived, the device (30) can adjust the session priority or rearrange the session configuration, and if design concept information that is not linked to the event target country information is derived, it can regenerate color configuration information and visual element information corresponding to the country type information.

[0093] Additionally, the device (30) can apply different planning element derivation rules depending on the online event, offline event, and hybrid event, and for the online event, it can additionally derive real-time chat space configuration information, virtual exhibition space information, and online presentation flow information.

[0094] The device (30) can dynamically change space configuration information and operation flow information according to event scale information, number of participating countries information and target characteristics information, and can automatically adjust session length information and break time information according to event operation time information.

[0095] The device (30) can improve the strategic completeness of event planning information corresponding to exhibition convention events, the suitability of the event purpose, and the operational efficiency of participants by using the planning element derivation structure as described above.

[0096] In step S203, the device (30) can generate an event planning strategy for an exhibition convention event based on the derived planning elements. At this time, a detailed explanation of the process of generating the event planning strategy will be described later with reference to FIGS. 3 and 4.

[0097] Event planning strategy may refer to the overall operational direction and strategic composition criteria for exhibition and convention events, and may include, for example, but is not limited to, information regarding strategies for responding to commissioning agencies, national cooperation strategies, industry linkage strategies, participant management strategies, space management strategies, and design linkage strategies.

[0098] Additionally, the device (30) can calculate the suitability of the event purpose by comparing information on the ordering agency and information on the event purpose, and the suitability of the event purpose may mean the degree to which the generated planning element matches the ordering agency's event promotion purpose and policy direction.

[0099] The device (30) can calculate national exchange characteristics based on industrial sector information and national type information, and the national exchange characteristics may mean policy linkage or industrial cooperation possibilities between the target country and the industrial sector.

[0100] The device (30) can establish an event operation structure linked to the event purpose and strategic direction by generating an event planning strategy that reflects the suitability of the event purpose and the characteristics of national exchange.

[0101] In step S204, the device (30) can configure event planning information including an event proposal, an event operation scenario, design configuration information, and event execution plan information using the generated event planning strategy. At this time, a detailed explanation of the process of configuring the event planning information will be described later with reference to FIGS. 5 and 6.

[0102] The device (30) can configure event planning information corresponding to an exhibition convention event based on the ordering agency response strategy, national cooperation strategy, industry linkage strategy, participant operation strategy and space operation strategy included in the event planning strategy.

[0103] Here, event planning information may refer to event design documents submitted to the commissioning organization or used in the event operation process, and may include, for example, event proposals, event operation scenarios, design configuration information, event execution plan information, session operation information, space layout information, speaker operation information, and interpretation operation information, but is not limited thereto.

[0104] An event proposal may refer to a document explaining an event strategy corresponding to the event objectives and evaluation criteria of the ordering organization, and an event operation scenario may include information regarding the event sequence, session flow, participant movement flow, and operational staff deployment flow.

[0105] In addition, design composition information may refer to event main visual information, color composition information, stage production information, video production information, and space design information, and event execution plan information may include event schedule information, operational personnel information, interpretation operation information, equipment operation information, and safety management information, but is not limited thereto.

[0106] The device (30) can analyze the relationship between event planning strategies and planning elements to organize event planning information. For example, the device (30) can determine session priorities by analyzing the degree of semantic correlation between event purpose characteristics and session composition information, and can determine the order of speaker placement by country by analyzing the relationship between national exchange characteristics and speaker composition information.

[0107] Additionally, the device (30) can calculate spatial concentration based on participant configuration information and spatial configuration information, and spatial concentration may refer to the degree to which a specific participant is concentrated in a specific space or a specific time period. The device (30) can generate participant movement flow information based on spatial concentration, and the participant movement flow information may include information regarding the entry order of participants, movement paths, and movement times between sessions, but is not limited thereto.

[0108] Additionally, the device (30) can calculate the operational conflict level by comparing event schedule information and session configuration information. The operational conflict level may refer to the degree to which multiple sessions or operational schedules overlap at the same time or that specific operational resources are used simultaneously.

[0109] The device (30) can adjust session operation time information or change space arrangement information when the operational conflict level is above a preset standard, and can generate an event design strategy based on event purpose characteristics and design configuration information. For example, for an international cooperation-centered event, the device (30) can generate a design strategy including a national symbol color-based design strategy and an image of cooperation between countries.

[0110] In one embodiment, the device (30) can configure event planning information for an international nuclear industry forum event. The device (30) can identify a government cooperation-centered strategy and an industry exchange-centered strategy from the event planning strategy and can generate an event proposal corresponding to said strategy. The device (30) can include nuclear industry trend information, information on the direction of technology cooperation between countries, results of an analysis of the suitability of the event purpose, and session operation strategy information in the event proposal, and can determine the order of composition of the proposal document by reflecting the strategic priority corresponding to the evaluation criteria of the ordering agency.

[0111] Additionally, the device (30) can generate an event operation scenario, and the event operation scenario may include information on the progress of the opening ceremony, information on the order of presentations by session, information on the operation of panel discussions, information on networking operations, and information on the operation of the closing ceremony.

[0112] The device (30) can generate separate movement path information for VIP participants and movement path information for general participants based on event target country information and participant target information, and can generate simultaneous interpretation space information and language-specific interpretation personnel placement information according to interpretation operation strategy.

[0113] Additionally, the device (30) can generate design configuration information, color configuration information reflecting the technical image of the nuclear power industry, main visual information including an image of cooperation between countries, and LED video production information.

[0114] In step S205, the device (30) can provide configured event planning information to the user's terminal (10).

[0115] At this time, a detailed explanation of the process of providing the configured event planning information to the user's terminal (10) will be described later with reference to FIG. 8.

[0116] Event planning information may refer to electronic documents that visually represent strategic information regarding exhibition and convention events, and may include, for example, document file format, presentation format, web-based screen format, and dashboard format, but is not limited thereto.

[0117] Additionally, the device (30) may apply different display methods for event planning information depending on the event purpose information, ordering agency information, and country type information. For example, for government agency-centered events, it may provide a screen configuration that prioritizes policy linkage strategies and national cooperation strategies, and for industry exchange-centered events, it may provide a screen configuration that emphasizes industry linkage strategies and networking strategies.

[0118] The device (30) can visualize the strategic information included in the event planning information during the process of providing event planning information.

[0119] The device (30) can display operation scenarios by time slot in a timeline format in conjunction with event schedule information, and can visually display speaker placement information by country and interpretation placement information by language based on speaker composition information and interpretation composition information. In addition, the device (30) can provide detailed strategy information corresponding to planning elements selected on the user's terminal (10) in a popup format or a hierarchical structure format.

[0120] In one embodiment, the device (30) can provide event planning information for an international energy industry forum event to the user's terminal (10). The device (30) can provide an event proposal in the form of a presentation screen and can place event topic information corresponding to the event purpose information on the first screen.

[0121] Additionally, the device (30) can provide session configuration information to the user in chronological order, and can apply highlight color information or enlarged display information to sessions with high participation concentration.

[0122] The device (30) can provide country-specific speaker placement status information in the form of a map-based screen according to country type information, and can place VIP participant space information and general participant space information in different screen areas according to participant configuration information.

[0123] Additionally, the device (30) can provide event main visual information, LED video production information, and space design information in the form of a preview screen based on design configuration information, and can also provide alternative design configuration information when a specific design configuration information is selected on the user's terminal (10).

[0124] The device (30) can receive information on a user's modification request, and can reconfigure session configuration information, space configuration information, or event operation scenarios according to the user's modification request information, and then provide the reconfigured event planning information again.

[0125] The device (30) can improve the efficiency of the event planning process and user convenience by providing event planning information to the user's terminal (10). For example, the device (30) can learn user preference strategy information by analyzing the user's modification history information, and can adjust the display priority of event planning information generated thereafter based on the learned user preference strategy information.

[0126] Additionally, the device (30) can simultaneously provide the same event planning information to multiple user terminals (10) and can grant different editing rights or viewing rights according to user authority information.

[0127] That is, the device (30) can automatically generate event planning strategies and event planning information using an artificial intelligence model agent based on event planning data related to exhibition convention events, and provide the generated event planning information to the user's terminal (10).

[0128] In addition, the device (30) can generate planning elements and event planning strategies corresponding to the event purpose by comprehensively analyzing information on the ordering agency, event purpose information, industry sector information, country type information, and past event performance information, and can construct event planning information by organically linking event proposals, event operation scenarios, design configuration information, and event performance plan information based on the generated event planning strategies.

[0129] Accordingly, the device (30) can implement a strategy-oriented event planning structure that reflects the purpose of the event, the direction of national cooperation, the characteristics of industrial linkage, and the evaluation criteria of the ordering agency, rather than a simple document creation method, and can dynamically adjust the event operation flow, space configuration, and design strategy based on the correlation between the event strategy index and planning elements.

[0130] In addition, the device (30) can continuously update event planning strategies and event planning information by reflecting actual event operation result information and user feedback information, thereby improving the strategic suitability, event operation efficiency, and accuracy of response to ordering agencies for exhibition and convention events.

[0131] FIG. 3 is a flowchart illustrating the process of generating an event planning strategy according to one embodiment.

[0132] Referring to FIG. 3, first, in step S301, the device (30) can obtain information on ordering agencies, industry trends, national cooperation, agency types, national types, event purposes, industry sectors, and successful bid patterns from collected event planning data during a preset event analysis period.

[0133] At this time, the pre-set event analysis period may be set differently depending on the embodiment.

[0134] The event analysis period may refer to a time range of data used to generate event planning strategies, and may include, for example, information on the last month, last six months, last year, or the period since a specific policy announcement, but is not limited thereto.

[0135] The device (30) can classify and normalize event planning data corresponding to the event analysis period to obtain information on ordering agencies, industry trends, national cooperation, agency types, national types, event purposes, industry sectors, and successful bid patterns, and store them in a database.

[0136] Information regarding the ordering agency may refer to information regarding the agency's policy direction, the purpose of the event, the budget size, and evaluation criteria, and may include, for example, information on government agencies, public research institutions, industry associations, and international cooperation organizations, but is not limited thereto.

[0137] In addition, country type information may refer to information regarding the industrial structure, foreign policy direction, technology cooperation relationship, and language usage characteristics of the target country for the event. The device (30) can extract industrial issue information by analyzing the frequency of appearance of key keywords and policy-linked sentence structures included in the industrial trend information, and can identify the characteristics of national exchange by analyzing information on agreements, international joint research information, and technology exchange information included in the national cooperation information.

[0138] In addition, the device (30) can obtain information on successful bid patterns by comparing and analyzing past event performance information and past winning bid proposal information.

[0139] Information on successful bid patterns may refer to strategic flows or operational structures that are repeatedly included in past successful event planning information, and may include, for example, information on policy-linkage-centered strategies, VIP-centered space operation strategies, industry promotion-centered session strategies, and international exchange-centered networking strategies, but is not limited thereto.

[0140] In step S302, the device (30) can calculate the event strategy index.

[0141] Specifically, an event strategy index can be calculated by identifying institutional interest keywords, industry issue indicators, national cooperation characteristics, institutional response characteristics, national exchange characteristics, event purpose characteristics, industry linkage characteristics, and winning strategy patterns from information on ordering agencies, industry trends, national cooperation, agency type information, country type information, event purpose information, industry sector information, and winning strategy pattern information.

[0142] The event strategy index may refer to information that quantifies the strategic priorities and the strength of strategic reflection for exhibition and convention events, and may include, for example, but is not limited to, weight information regarding the importance of policy linkage, industrial cooperation, international exchange, and the importance of reflecting bidding strategies.

[0143] The device (30) can identify keywords of interest to the organization by analyzing the organization policy direction information, budget priority information, and evaluation criteria information included in the ordering organization information, and can calculate an industry issue index based on the frequency of appearance of industry keywords, frequency of changes in industry policy, and frequency of technology issues included in the industry trend information.

[0144] Institutional interest keywords may refer to key terms related to policy directions, event objectives, or evaluation criteria that the contracting agency repeatedly uses or prioritizes in bid announcement information, requests for proposals, policy materials, and documents regarding past event execution.

[0145] The device (30) can identify keywords that appear repeatedly above a preset standard as keywords of interest to the organization by analyzing the relationship between the sentence structure, keyword occurrence frequency, contextual relevance, and evaluation criteria items included in the ordering organization information.

[0146] The device (30) can calculate a higher event strategy index as the frequency of repetition of institutional interest keywords increases and as the range of change of industry issue indicators increases, and can calculate a lower event strategy index as the correlation between event purpose information and industry sector information decreases.

[0147] Characteristics of national cooperation may refer to information regarding the frequency of technological cooperation between countries, diplomatic relations, and the history of joint industrial projects, while characteristics of institutional response may refer to information regarding the event operation direction or evaluation strategy preferred by the contracting agency. Additionally, characteristics of national exchange may include, but are not limited to, information regarding the direction of industrial exchange between the target countries, language usage characteristics, and diplomatic event operation patterns.

[0148] The device (30) can increase the reflection ratio of international exchange-centered strategies as the national cooperation characteristics are higher, and can increase the priority of policy announcement-centered strategies as the policy linkage ratio included in institutional response characteristics is higher. In addition, the device (30) can calculate a higher event strategy index for networking-centered strategies as the frequency of industrial exchange included in national type information is higher.

[0149] As an example, the device (30) can calculate an event strategy index for an international energy industry forum event. The device (30) can identify keywords of institutional interest related to “international technical cooperation,” “strengthening energy security,” and “promoting national policy” from information on ordering agencies, and can calculate an industry issue index based on the frequency of nuclear industry technology exchange and the frequency of changes in eco-friendly energy policies from industry trend information.

[0150] In addition, the device (30) can calculate national cooperation characteristics based on information on the conclusion of a technology agreement between the Republic of Korea and the Czech Republic and information on the performance of joint research.

[0151] According to one embodiment, the device (30) can calculate a higher event strategy index as the frequency of appearance of keywords related to international cooperation increases and as the frequency of technology exchange included in national cooperation characteristics increases, and can calculate a lower event strategy index as the correlation between industrial sector information and event purpose information decreases.

[0152] Additionally, the device (30) can identify a winning strategy pattern based on the repetition frequency of the VIP-centered operation strategy and international panel discussion strategy included in the past winning strategy pattern information, and can calculate a higher event strategy index as the repetition frequency of the winning strategy pattern increases.

[0153] In step S303, the device (30) can determine the basic planning design range inversely proportional to the event strategy index.

[0154] The scope of basic planning design may refer to the scope of application of strategic elements or the scope of exploration of planning elements reflected in the process of generating event planning information for exhibition and convention events, and may include, for example, information regarding the scope of session configuration, scope of speaker configuration, scope of space configuration, scope of design configuration, and scope of reflection of event operation strategies, but is not limited thereto.

[0155] The device (30) can determine that the higher the event strategy index, the clearer the direction of the event purpose and the strategic priority, and the lower the event strategy index, the unclear the direction of the event purpose or the strategic priority. The device (30) can determine the scope of the basic planning design narrowly as the event strategy index is high, and can determine the scope of the basic planning design broadly as the event strategy index is low. For example, the device (30) can prioritize reflecting only policy-linkage-centered session composition or specific country cooperation-centered design strategies as the event strategy index is high, and can expand the scope of the basic planning design to reflect information on multiple industry sectors or information on multiple country types simultaneously as the event strategy index is low.

[0156] According to one embodiment, the device (30) can finely adjust the scope of the basic planning design by analyzing the weights of each component of the event strategy index. For example, the device (30) can determine a narrower scope of the basic planning design for the ordering agency response strategy as the frequency of repetition of the agency interest keyword increases, and can determine a wider scope of the basic planning design for the industry linkage strategy as the range of change of the industry issue indicator increases.

[0157] Additionally, the device (30) can determine the scope of reflection for the international cooperation-centered space configuration strategy and interpretation operation strategy more narrowly as the national exchange characteristics are high, and can determine the scope of the basic planning design to include multiple national operation scenarios more broadly as the national exchange characteristics are low.

[0158] The device (30) can increase the reflection rate of past successful bid strategies as the repetition frequency of the winning bid strategy pattern increases, and can expand the scope of searching for new strategy elements as the repetition frequency of the winning bid strategy pattern decreases. Additionally, the device (30) can determine a wider scope of searching for session configuration information and design configuration information as the correlation between the event purpose characteristics and industry linkage characteristics decreases.

[0159] For example, the device (30) can determine the scope of basic planning and design based on the event strategy index for the International Nuclear Industry Forum event. The device (30) can calculate a high event strategy index when the repetition frequency of policy-linked keywords included in the ordering agency information is high and the frequency of technology exchange included in the national cooperation information is high.

[0160] The device (30) can narrow the scope of the basic planning design to prioritize only the “international technology cooperation” centered session strategy, the government official centered operation strategy, and the nuclear industry centered design strategy when the event strategy index is calculated to be high.

[0161] On the other hand, the device (30) can calculate a low event strategy index when the range of change in industry trend information increases or when there is a low correlation between event purpose information and industry sector information, and can determine a wide basic planning design scope to include multiple industry session strategies, multiple country exchange strategies, and multiple design concept strategies.

[0162] Additionally, the device (30) can determine the scope of reflection of the VIP space configuration strategy narrowly as the repetition frequency of the VIP networking strategy included in the winning bid success pattern information increases, and can determine the scope of the basic planning design wide in the direction of expanding the configuration of inter-country cooperation sessions as the repetition frequency of the international exchange strategy decreases.

[0163] The device (30) can improve the efficiency of exploration and the suitability of the event planning strategy based on the scope of the basic planning design. For example, when the scope of the basic planning design is narrowly determined, the device (30) can prioritize reflecting only session configuration information, space configuration information, and design configuration information that are directly linked to the purpose of the event, thereby improving the speed of event strategy generation.

[0164] In addition, the device (30) can simultaneously explore multiple strategic scenarios and design strategies when the basic planning design scope is broadly determined, thereby creating a new combination of event strategies.

[0165] In step S304, the device (30) can extract an institution request pattern, an industry issue pattern, an institution type pattern, a country type pattern, an event purpose pattern, and a winning bid strategy pattern, respectively.

[0166] Specifically, institution request patterns, industry issue patterns, institution type patterns, country type patterns, event purpose patterns, and winning strategy patterns that satisfy pre-set criteria for abnormality rates can be extracted from ordering agency information, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and winning bid success pattern information, respectively. At this time, the pre-set criteria may be set differently depending on the embodiment.

[0167] Here, the anomaly rate may refer to the degree to which specific information or specific strategic elements are repeated more than a reference frequency within the overall event planning data or deviate from the average distribution; for example, it may include, but is not limited to, information regarding the repetition frequency of specific policy keywords, the concentration frequency of specific industry strategies, or the growth rate of specific national cooperation directions.

[0168] According to one embodiment, the device (30) can calculate a higher abnormality rate of the institution request pattern as the repetition frequency of the institution interest keyword increases, and can calculate a higher abnormality rate of the industry issue pattern as the frequency of changes in industry policy increases. Additionally, the device (30) can calculate a lower abnormality rate of the national exchange characteristics as the frequency of technology exchange included in the national cooperation information decreases, and can calculate a higher abnormality rate of the event purpose pattern as the linkage between the event purpose information and the industry sector information increases.

[0169] Specifically, the device (30) can extract pattern information by analyzing sentence structure, keyword frequency, and strategy flow information included in event planning data.

[0170] The agency requirement pattern may refer to strategic directions or evaluation items repeatedly requested by the contracting agency, and may include, for example, information regarding policy-linkage-centered strategies, international cooperation-centered strategies, and industry promotion-centered strategies, but is not limited thereto.

[0171] Industrial issue patterns may refer to the recurring flow of key industrial issues included in industrial sector information or the direction of policy changes.

[0172] The device (30) can extract an institution type pattern by analyzing the institution operation characteristics included in the institution type information, and can extract a policy announcement-centered strategy pattern for government institution types and an industry exchange-centered strategy pattern for industry association types.

[0173] Additionally, the device (30) can extract a country type pattern based on the frequency of diplomatic cooperation and industrial exchange included in the country type information, and can extract a winning strategy pattern based on the repetition frequency of the session operation structure, spatial configuration strategy and VIP operation strategy included in the winning success pattern information.

[0174] The device (30) can determine the priority of a specific strategy pattern as the abnormality rate is higher than a preset standard, and can increase the new strategy search rate as the abnormality rate is lower than a preset standard.

[0175] For example, the device (30) can extract multiple strategic patterns from event planning data for the International Nuclear Industry Forum. The device (30) can calculate a higher abnormality rate of the agency request pattern as the repetition frequency of keywords related to “international technical cooperation” and “energy security” included in the ordering agency information increases, and can calculate a higher abnormality rate of the national cooperation characteristic as the frequency of articles related to international joint research increases.

[0176] Additionally, the device (30) can calculate a higher abnormality rate of industrial issue patterns as the frequency of changes in eco-friendly energy policies included in industrial trend information increases. The device (30) can calculate a higher abnormality rate of winning strategy patterns as the repetition frequency of ministerial-level opening session operation strategies and international panel discussion strategies included in past winning bid success pattern information increases, and can calculate a lower abnormality rate of VIP operation strategies as the usage frequency of VIP networking strategies decreases.

[0177] Additionally, the device (30) can increase the priority of the national exchange-centered event purpose pattern as the correlation between the event purpose information and the national type information increases.

[0178] The device (30) can improve the accuracy of generating event planning strategies based on extracted institutional requirement patterns, industry issue patterns, institutional type patterns, country type patterns, event purpose patterns, and winning strategy patterns.

[0179] For example, the device (30) can increase the reflection rate of the ordering agency response strategy as the abnormality rate of the agency request pattern increases, and can increase the reflection rate of the latest industry policy-based session strategy as the abnormality rate of the industry issue pattern increases.

[0180] Additionally, the device (30) can increase the priority of inter-country cooperation sessions and multilingual interpretation strategies as the abnormality rate of the country type pattern increases, and can expand the scope of exploration of new event operation strategies and new design strategies as the abnormality rate of the winning strategy pattern decreases.

[0181] In step S305, the device (30) can create an organization-response design area, an industry-response design area, an organization-type-response design area, a country-type-response design area, and an event-purpose-response design area.

[0182] The device (30) can create an organization-response design area by applying a basic planning design range with an item corresponding to the organization's requirement pattern as a reference point.

[0183] The agency-responsive design area may refer to a strategic area where planning elements corresponding to the ordering agency's event promotion objectives, evaluation criteria, and preferred operational direction are concentrated. For example, it may include, but is not limited to, information on policy presentation sessions, agency promotion structure, VIP operation structure, and agency cooperation linkage.

[0184] The device (30) can calculate the priority of the institution's request pattern based on the frequency of appearance of the institution's interest keywords, the inclusion rate within the evaluation criteria sentence, and the degree of association with the event purpose information. The device (30) can generate the institution's response design area in a narrow and concentrated form as the repetition frequency of the institution's interest keywords increases, and can generate the institution's response design area in a wider form as the number of evaluation criteria items increases.

[0185] Additionally, the device (30) can increase the session composition ratio and the institution promotion composition ratio within the institution response design area as the semantic association between the institution interest keyword and the event purpose information increases.

[0186] The device (30) can create an industrial response design area by applying a basic planning design range with an item corresponding to an industrial issue pattern as a reference point.

[0187] The industry-responsive design area may refer to a strategic area where planning elements corresponding to key technology flows, policy change directions, and industrial exchange flows by industry sector are concentrated. For example, it may include, but is not limited to, information on technology presentation sessions, industrial exhibition configurations, investment presentation configurations, and industrial networking configurations.

[0188] The device (30) can calculate the abnormality rate of industrial issue patterns based on the frequency of appearance of industrial keywords, the frequency of policy changes, and the frequency of technology issue changes included in industrial trend information.

[0189] The device (30) can generate a wider industry-responsive design area as the frequency of change of industry keywords increases, and can increase the ratio of industry sessions within the industry-responsive design area as the linkage between industry field information and event purpose information increases.

[0190] Additionally, the device (30) can expand the industrial response design area in a direction that includes new industrial strategies or new technology introduction strategies as the frequency of repetition of industrial issue patterns decreases.

[0191] The device (30) can create an organization type corresponding design area by applying a basic planning design range with an item corresponding to the organization type pattern as a reference point.

[0192] The design area corresponding to the type of institution may refer to a strategic area corresponding to the operational characteristics and event preferences of the ordering agency by institution type, and may include, for example, areas for government agencies, public research institutions, industry associations, and private companies, but is not limited thereto.

[0193] The device (30) can identify the institution type pattern by analyzing the budget operation characteristics, evaluation item composition characteristics, and past event operation characteristics included in the institution type information.

[0194] The device (30) can increase the ratio of policy presentation sessions and international cooperation as the ratio of government agency types increases, and can increase the ratio of industry promotion sessions and exchange of participating companies as the ratio of industry association types increases.

[0195] Additionally, the device (30) can create a design area corresponding to an institution type with a separated structure as the difference in event operation methods between institution types increases, and can increase the ratio of space operation configuration corresponding to a specific institution type as the frequency of repetition of institution type patterns increases.

[0196] The device (30) can create a country type corresponding design area by applying a basic planning design range with an item corresponding to the country type pattern as a reference point.

[0197] The country type corresponding design area may refer to strategic areas corresponding to the diplomatic cooperation characteristics, industrial exchange characteristics, and language usage characteristics of the event target country, and may include, for example, country-specific interpretation configuration information, international exchange session information, and country cooperation promotion configuration information, but is not limited thereto.

[0198] In addition, the event purpose-response design area may refer to a strategic area where key planning elements corresponding to event purpose information are intensively reflected, and may include, for example, an area for policy promotion purposes, an area for technology exchange purposes, and an area for investment attraction purposes, but is not limited thereto.

[0199] The device (30) can increase the proportion of international cooperation sessions within the country type corresponding design area as the frequency of industrial exchange between countries increases, and can create the event purpose corresponding design area in a narrow and concentrated form as the linkage between event purpose information and industrial field information is high.

[0200] Additionally, the device (30) can increase the core session configuration ratio and the design linkage configuration ratio within the event purpose corresponding design area as the repetition frequency of the event purpose pattern increases.

[0201] The device (30) can create an event purpose corresponding design area by applying a basic planning design range with an item corresponding to the event purpose pattern as a reference point.

[0202] The event purpose-corresponding design area may refer to a strategic area in which planning elements corresponding to the core event promotion direction or event operation goals included in the event purpose information are intensively reflected. For example, it may include, but is not limited to, an area for international cooperation, an area for industrial promotion, an area for policy announcement, an area for technology exchange, and an area for attracting investment.

[0203] The event purpose-corresponding design area may refer to a strategic area in which planning elements corresponding to the event promotion direction or event operation goals included in the event purpose information are intensively reflected. For example, it may include, but is not limited to, an area for international cooperation, an area for industrial promotion, an area for policy announcement, an area for technology exchange, and an area for attracting investment.

[0204] The device (30) can determine the priority of the event purpose corresponding design area by analyzing the repetition ratio of sentences included in the event purpose information, the degree of semantic association between the event purpose information and the industry field information, and the frequency of appearance of the event purpose pattern.

[0205] The device (30) can generate an event purpose response design area in a narrow and concentrated form as the frequency of appearance of event purpose patterns increases, and can generate an event purpose response design area in a wide form to include multiple event operation strategies and session strategies as the correlation between event purpose information and industry sector information decreases.

[0206] Additionally, the device (30) can increase the ratio of international cooperation-related sentences included in the event purpose information as the ratio of exchange sessions between countries and multilingual operation compositions increases, and can increase the ratio of technology exhibition compositions and industrial networking compositions as the ratio of industry promotion-related sentences included in the event purpose information increases.

[0207] In step S306, the device (30) can generate strategy keywords using an artificial intelligence model agent trained to generate event planning strategies.

[0208] At this time, a detailed explanation of the process of generating strategy keywords will be described later with reference to Fig. 4.

[0209] Specifically, the device (30) can generate strategy keywords by inputting the institution characteristic data included in the institution response design area, the industry characteristic data included in the industry response design area, the institution type characteristic data included in the institution type response design area, the country type characteristic data included in the country type response design area, and the event purpose characteristic data included in the event purpose response design area into an artificial intelligence model agent trained to generate event planning strategies.

[0210] Strategic keywords may refer to key strategic information for determining the direction and priority elements of the event planning strategy, and may include, for example, policy linkage configuration information, industry exchange configuration information, national cooperation configuration information, space operation configuration information, and participant operation configuration information, but are not limited thereto.

[0211] Institutional characteristic data may refer to information regarding the frequency of occurrence of keywords of institutional interest extracted within the institutional response design domain, the ratio of sentence composition based on evaluation criteria, and the ratio of sentences based on policy direction.

[0212] In addition, industry characteristic data may include, but is not limited to, information regarding the frequency of industrial policy changes, the frequency of technological issue changes, and the ratio of linkage with industrial sectors identified within the industrial response design domain.

[0213] The device (30) can generate a higher priority for strategic keywords corresponding to policy linkage strategies as the frequency of repetition of institutional interest keywords increases, and can increase the reflection ratio of strategic keywords corresponding to industrial trend reflection strategies as the frequency of industrial policy change increases.

[0214] Specifically, the device (30) can generate strategic keywords corresponding to the direction of event operation based on institution type characteristic data, country type characteristic data, and event purpose characteristic data. The institution type characteristic data may refer to information regarding the method of operation of an institution, the method of budget composition, and the method of composition of event evaluation criteria identified within the institution type corresponding design area, and may include, for example, information on the operational characteristics of government agencies, information on the operational characteristics of industry associations, and information on the operational characteristics of private companies, but is not limited thereto.

[0215] In addition, country type characteristic data may refer to information regarding the frequency of industrial exchanges between countries, language usage rates, and the frequency of international cooperation identified within the country type corresponding design domain.

[0216] Event purpose characteristic data may include, but is not limited to, information regarding the ratio of international cooperation purpose sentences, the ratio of industrial promotion purpose sentences, and the ratio of technology exchange purpose sentences identified within the event purpose responsive design area.

[0217] The device (30) can generate a higher priority for strategic keywords corresponding to international exchange strategies as the frequency of industrial exchange between countries increases, and can increase the reflection ratio of strategic keywords corresponding to industrial exhibition strategies as the ratio of industrial promotion-related sentences included in the event purpose information increases.

[0218] Additionally, the device (30) can increase the reflection rate of strategy keywords corresponding to the policy announcement-centered operation strategy as the ratio of government agency operation characteristics increases.

[0219] An artificial intelligence model agent may refer to an AI-based analysis model trained to generate strategic direction information corresponding to the event objective based on characteristic information included in event planning data and the event response design domain.

[0220] The device (30) can input institution characteristic data included in the institution response design area, industry characteristic data included in the industry response design area, institution type characteristic data included in the institution type response design area, country type characteristic data included in the country type response design area, and event purpose characteristic data included in the event purpose response design area as input data for the artificial intelligence model agent.

[0221] Institutional characteristic data may include, but is not limited to, information regarding the frequency of appearance of keywords of interest to the institution, the proportion of sentences based on evaluation criteria, and the proportion of sentences based on policy direction. Additionally, industry characteristic data may include information regarding the frequency of changes in industrial policies, the frequency of changes in technological issues, and the ratio of linkages between industrial sectors, while country type characteristic data may include, but is not limited to, information regarding the frequency of industrial exchanges between countries, the frequency of international cooperation, and the ratio of language usage.

[0222] The device (30) can generate strategic keywords by inputting the above input data into an artificial intelligence model agent, and the strategic keywords may represent key strategic information for determining the priority direction of the event planning strategy or the direction of the event operation strategy.

[0223] For example, strategic keywords may include, but are not limited to, policy linkage strategy information, international cooperation strategy information, industry promotion strategy information, investment attraction strategy information, participant operation strategy information, and space operation strategy information.

[0224] The device (30) can train an artificial intelligence model agent using past event performance information, past successful bid pattern information, and actual event operation result information. The device (30) can use session configuration information, space configuration information, participant satisfaction information, and event operation result information included in the past event performance information as training data, and can set strategy flow information, policy linkage configuration information, and international cooperation configuration information included in the past successful bid pattern information as correct answer data.

[0225] Additionally, the device (30) may apply a supervised learning method, a reinforcement learning method, and a pattern-based iterative learning method to learn the relationship between strategic keywords and actual event performance.

[0226] For example, the device (30) can train an artificial intelligence model agent to increase the reflection rate of strategic keywords included in event planning information with high event satisfaction information, and can train the agent to prioritize the generation of strategic keyword combinations with a high probability of winning the bid by analyzing the correlation between the information on whether the bid was successful and the strategic keywords.

[0227] Additionally, the device (30) can update the criteria for generating strategic keywords by re-collecting user modification information and actual event operation feedback information, and can retrain an artificial intelligence model agent to generate a higher priority for the strategic keyword as the semantic association between the event purpose information and the strategic keyword increases.

[0228] By utilizing the learning structure as described above, the device (30) can precisely generate strategic keywords corresponding to the event purpose, industry sector, and country type, and can improve the strategic suitability of the event planning strategy and the accuracy of the winning bid response.

[0229] For example, the device (30) can generate strategic keywords for the International Energy Industry Forum event. The device (30) can check the repetition frequency of institutional interest keywords related to “international technology cooperation” from the institutional response design area, and can check the frequency of changes in eco-friendly energy policies and the frequency of changes in nuclear technology issues from the industrial response design area.

[0230] Additionally, the device (30) can check the frequency of industrial exchange and technology cooperation between the Republic of Korea and the Czech Republic from the country type corresponding design area, and can check the ratio of international cooperation purpose sentences and technology exchange purpose sentences from the event purpose corresponding design area.

[0231] The device (30) can generate a higher priority for strategic keywords corresponding to the international cooperation session strategy as the proportion of sentences related to international cooperation increases, and can increase the reflection ratio of strategic keywords corresponding to the latest technology presentation session strategy as the frequency of industrial policy changes increases.

[0232] In addition, the device (30) can increase the reflection rate of strategy keywords corresponding to the opening policy announcement strategy and VIP cooperation operation strategy as the ratio of government agency operation characteristics increases.

[0233] In step S307, the device (30) can generate an event planning strategy based on strategic keywords.

[0234] Event planning strategy may refer to strategic information including the overall operational direction, session organization direction, space operation direction, and participant response direction for exhibition and convention events, and may include, for example, policy linkage strategy information, international cooperation strategy information, industry promotion strategy information, participant operation strategy information, space operation strategy information, and design linkage strategy information, but is not limited thereto.

[0235] The device (30) can determine the priority of the event planning strategy by analyzing the frequency of appearance of strategic keywords, the degree of semantic association between strategic keywords, and the degree of association with event purpose information.

[0236] The degree of semantic association between strategic keywords may refer to the extent to which multiple strategic keywords are linked to the same event purpose or the same industry direction; for example, if international cooperation strategic information and national exchange strategic information are repeated simultaneously, it can be judged that they have a high degree of semantic association.

[0237] According to one embodiment, the device (30) can increase the reflection rate of the event planning strategy corresponding to the strategy keyword as the frequency of appearance of the strategy keyword increases, and can generate the event planning strategy in a narrow and focused direction as the correlation between the event purpose information and the strategy keyword increases.

[0238] The device (30) can generate an event planning strategy by connecting planning elements corresponding to strategic keywords. For example, the device (30) can generate a policy-centered event planning strategy by connecting session configuration information, opening ceremony operation information, and policy presentation configuration information corresponding to policy linkage strategy information.

[0239] Additionally, the device (30) can generate an international exchange-centered event planning strategy by linking country-specific speaker configuration information, multilingual interpretation configuration information, and international networking configuration information corresponding to international cooperation strategy information. The device (30) can generate an industry promotion-centered event planning strategy by linking technology exhibition configuration information, industry presentation session information, and investment presentation configuration information corresponding to industry promotion strategy information.

[0240] The device (30) can generate an event planning strategy that integrates multiple strategic elements as the degree of semantic association between strategic keywords is high, and can generate different event operation scenarios in parallel as the degree of semantic association between strategic keywords is low.

[0241] In addition, the device (30) can increase the reflection rate of the national cooperation-centered space operation strategy and the national participant response strategy as the correlation between the national type information and the strategic keywords increases.

[0242] For example, the device (30) can generate an event planning strategy for an international energy industry forum event. The device (30) can identify strategic information related to “international technology cooperation,” “energy policy exchange,” “promotion of eco-friendly industries,” and “strengthening government cooperation” from strategic keywords. Additionally, the device (30) can generate an international exchange-centered event planning strategy by linking information on joint sessions between countries and multilingual operation configurations corresponding to the international technology cooperation strategy information.

[0243] The device (30) can generate a policy-linked event planning strategy by linking ministerial-level opening session configuration information and policy presentation configuration information corresponding to government cooperation strengthening strategy information. Additionally, the device (30) can generate an industry promotion-centered event planning strategy by linking technology exhibition space configuration information, industry promotion video configuration information and investment attraction presentation configuration information corresponding to eco-friendly industry promotion strategy information.

[0244] The device (30) can increase the ratio of exchange sessions between countries and global networking as the frequency of appearance of strategic keywords related to international cooperation increases, and can increase the ratio of reflecting the latest industrial trends as the frequency of industrial policy changes increases.

[0245] The device (30) can improve event purpose responsiveness and event operation efficiency based on the generated event planning strategy. For example, the device (30) can calculate a higher event purpose responsiveness as the semantic association between event purpose information and event planning strategy increases, and as the event purpose responsiveness increases, it can increase the priority reflection ratio of session configuration information and space operation information.

[0246] Additionally, the device (30) can generate event operation scenarios that integrate multiple strategic elements as the overlap ratio between strategic keywords increases, and can generate multiple alternative strategic scenarios as the correlation between strategic keywords decreases.

[0247] The device (30) can generate an online operation-centered event planning strategy based on the frequency of real-time participant activity and online interaction for online events, and can generate a complex event planning strategy that simultaneously reflects on-site operation strategies and online operation strategies for hybrid events.

[0248] Additionally, the device (30) can update the criteria for generating event planning strategies based on actual event operation result information and user modification information, and can adjust the priority of strategy keywords and the reflection ratio of event planning strategies by reflecting event satisfaction information and information on whether the bid was successful.

[0249] That is, the device (30) can analyze the characteristics of the ordering agency, industry trends, national cooperation characteristics, and event purpose characteristics from the event planning data, and generate an event planning strategy for an exhibition convention event based on multiple corresponding design areas and strategic keywords.

[0250] In addition, the device (30) can generate an organization response design area, an industry response design area, an organization type response design area, a country type response design area, and an event purpose response design area, respectively, based on ordering organization information, industry trend information, country type information, and event purpose information, and generate strategic keywords by inputting characteristic data included in each response design area into an artificial intelligence model agent.

[0251] Accordingly, the device (30) can dynamically generate an event planning strategy centered on strategic elements directly linked to the purpose of the event, and can variably adjust the scope of strategy reflection and strategy priority using the event strategy index and pattern analysis results based on abnormality rate.

[0252] In addition, the device (30) can generate strategic keywords by comprehensively analyzing the correlation between the evaluation direction of the ordering agency, the cooperation relationship between countries, the direction of industrial policy change, and the purpose of event operation, so it can generate a strategy-centered event planning strategy that corresponds to the purpose of the event and the characteristics of the ordering agency, unlike a simple template-based event planning structure.

[0253] Accordingly, the device (30) can improve the strategic suitability of the event planning strategy, the accuracy of the response to the ordering agency, and the efficiency of the response to the winning bid, and can strengthen the connection between the direction of event operation and the direction of session composition.

[0254] FIG. 4 is a flowchart illustrating the process of generating strategy keywords according to one embodiment.

[0255] Referring to FIG. 4, first, in step S401, the device (30) can compare a first ratio, which is the ratio of data corresponding to the institutional demand pattern among the institutional characteristic data, and a second ratio, which is the ratio of data corresponding to the industrial issue pattern among the industrial characteristic data.

[0256] The first ratio may refer to information regarding the proportion of data corresponding to institutional requirement patterns within the total institutional characteristic data. For example, it may include, but is not limited to, information regarding the ratio of policy-linked sentences, the ratio of evaluation criteria-linked sentences, and the ratio of keywords of institutional interest.

[0257] In addition, the second ratio may refer to information regarding the proportion of data corresponding to industry issue patterns within the total industry characteristic data, and may include, for example, information regarding the proportion of sentences on changes in industry policy, the proportion of sentences on technology issues, and the proportion reflecting industry trends, but is not limited thereto.

[0258] The device (30) can calculate a higher first ratio as the frequency of repetition of the institution's interest keywords increases, and can calculate a higher second ratio as the frequency of industrial policy changes increases.

[0259] The device (30) can calculate a first ratio and a second ratio by analyzing institutional characteristic data and industry characteristic data. The institutional requirement pattern may refer to the direction of event operation or evaluation criteria that the ordering agency repeatedly requests or prioritizes, and may include, for example, information on the direction of operation centered on international cooperation, the direction of operation centered on policy promotion, and the direction of operation centered on government response, but is not limited thereto.

[0260] Additionally, the industrial issue pattern may refer to the direction of industrial policy change or the direction of technological change that is repeatedly identified in industrial sector information. The device (30) can calculate a first ratio based on the ratio of the number of sentences linked to the institutional demand pattern to the number of policy direction sentences included in the institutional characteristic data, and can calculate a second ratio based on the ratio of the number of sentences linked to the industrial issue pattern to the number of industrial trend sentences included in the industrial characteristic data.

[0261] The device (30) can calculate a higher first ratio as the frequency of appearance of the institution request pattern increases, and can calculate a lower second ratio as the frequency of change of the industry issue pattern decreases.

[0262] For example, the device (30) can compare a first ratio and a second ratio in the process of generating an event planning strategy for an international energy industry forum event. The device (30) can identify the ratio of institutional request pattern sentences related to “international technology cooperation,” “government policy promotion,” and “joint research between countries” from institutional characteristic data, and can calculate a first ratio based on the sentence ratio.

[0263] Additionally, the device (30) can determine the ratio of sentences changing eco-friendly energy policies and the ratio of sentences changing next-generation reactor technology from industrial characteristic data, and can calculate a second ratio based on the ratio of sentences.

[0264] The device (30) can calculate the first ratio higher than the second ratio as the ratio of sentences related to institutional demand patterns is higher than the ratio of sentences related to industrial policy changes, and can calculate the second ratio higher as the ratio of sentences reflecting industrial trends increases.

[0265] In addition, the device (30) can determine the strategic direction to be prioritized in the event planning strategy based on the difference between the first ratio and the second ratio.

[0266] The device (30) can adjust the priority of strategic reflection in the event planning strategy based on the comparison results of the first ratio and the second ratio. For example, the device (30) can increase the reflection ratio of the strategy centered on responding to the ordering agency as the first ratio is higher than the second ratio, and can increase the ratio of policy presentation session composition and government cooperation composition.

[0267] Additionally, the device (30) can increase the reflection ratio of the industry trend-reflecting strategy as the second ratio is higher than the first ratio, and can increase the ratio of the technology presentation session composition and the ratio of the industry exhibition composition.

[0268] In step S402, the device (30) can compare a third ratio, which is the ratio of data corresponding to an institution type pattern among institution type characteristic data; a fourth ratio, which is the ratio of data corresponding to a country type pattern among country type characteristic data; and a fifth ratio, which is the ratio of data corresponding to an event purpose pattern among event purpose characteristic data.

[0269] The third ratio may refer to information regarding the proportion of data corresponding to institution type patterns within the total institution type characteristic data. For example, it may include, but is not limited to, information regarding the proportion of government agency operating sentences, industry association operating sentences, and private company operating sentences.

[0270] The fourth ratio may refer to information regarding the proportion of data corresponding to the country type pattern within the total country type characteristic data, and the fifth ratio may refer to information regarding the proportion of data corresponding to the event purpose pattern within the total event purpose characteristic data.

[0271] The device (30) can produce a higher third ratio as the ratio of government agency operation sentences increases, and can produce higher fourth and fifth ratios as the ratio of international cooperation-related sentences increases.

[0272] The institution type pattern may refer to the direction of event operation or evaluation criteria by institution type, and may include, for example, an operational direction centered on policy announcements, an operational direction centered on industry exchange, and an operational direction centered on promoting participating companies, but is not limited thereto.

[0273] In addition, the country type pattern may refer to the direction of industrial cooperation between countries, the direction of diplomatic exchange, or the direction of language operation, and the event purpose pattern may refer to the purpose of event promotion or the direction of event operation goals that are repeatedly identified in the event purpose information.

[0274] The device (30) can calculate a third ratio based on the ratio of the number of sentences linked to the institution type pattern to the number of institution type sentences included in the institution type characteristic data, and can calculate a fourth ratio based on the ratio of the number of sentences linked to the country type pattern to the number of country cooperation sentences included in the country type characteristic data.

[0275] Additionally, the device (30) can calculate a fifth ratio based on the ratio of the number of sentences associated with the event purpose pattern to the number of event purpose sentences included in the event purpose characteristic data.

[0276] For example, the device (30) can compare the third ratio, the fourth ratio, and the fifth ratio in the process of generating an event planning strategy for the International Nuclear Industry Forum event. The device (30) can calculate the third ratio by identifying the ratio of policy announcement sentences and the ratio of international cooperation sentences linked to the direction of government agency operations from the agency type characteristic data.

[0277] Additionally, the device (30) can calculate a fourth ratio by verifying the ratio of technical exchange sentences and joint industrial cooperation sentences between the Republic of Korea and the Czech Republic from the country type characteristic data. The device (30) can calculate a fifth ratio by verifying the ratio of event purpose sentences linked to “international technical cooperation,” “strengthening industrial exchange,” and “promoting national policy” from the event purpose characteristic data.

[0278] The device (30) can calculate a third ratio higher as the ratio of sentences linked to the operational direction of government agencies increases, and can calculate a fourth and fifth ratio higher as the ratio of sentences linked to the purpose of international cooperation increases. Additionally, the device (30) can determine the operational direction to be prioritized in the event planning strategy based on the comparison results of the third ratio, the fourth ratio, and the fifth ratio.

[0279] The device (30) can adjust the strategic composition ratio of the event planning strategy based on the comparison results of the third ratio, the fourth ratio, and the fifth ratio.

[0280] For example, the device (30) can increase the reflection rate of the agency type response-centered strategy as the third rate is higher than the fourth rate and the fifth rate, and can increase the policy announcement session composition rate and the agency promotion composition rate.

[0281] Additionally, the device (30) can increase the reflection rate of the international cooperation-centered strategy as the fourth ratio is highest, and can increase the ratio of the exchange session between countries and the ratio of the multilingual operation composition.

[0282] The device (30) can increase the reflection rate of the event purpose response-centered strategy as the fifth ratio is highest, and can increase the priority reflection rate of session configuration information and space operation information directly linked to the event purpose information.

[0283] In step S403, if the first ratio is greater than or equal to the second ratio, the device (30) can generate additional strategy keywords containing policy linkage information in proportion to the difference between the first ratio and the second ratio to increase the effectiveness of the ordering agency response.

[0284] Policy-linked information may refer to strategic information linked to the policy direction of the contracting agency, government initiatives, or agency evaluation criteria, and may include, for example, information on the structure of government policy announcements, information on the structure of public cooperation sessions, and information on the structure of agency promotion operations, but is not limited thereto.

[0285] According to one embodiment, the device (30) may determine that the need to reflect the institutional request pattern is higher as the difference between the first ratio and the second ratio increases, and may increase the generation ratio of strategic keywords containing policy linkage information. Additionally, the device (30) may generate a higher priority for strategic keywords linked to policy linkage information as the repetition frequency of institutional interest keywords increases.

[0286] The device (30) can adjust the priority of additional strategy keywords based on the difference between the first ratio and the second ratio. Additional strategy keywords may refer to strategy information that is additionally generated to be reflected in the event planning strategy in addition to existing strategy keywords, and may include, for example, strategy information for strengthening policy cooperation, strategy information centered on government announcements, and strategy information linked to public institutions, but is not limited thereto.

[0287] The device (30) can calculate a higher first ratio as the ratio of policy direction sentences included in the agency characteristic data increases, and can increase the difference between the first ratio and the second ratio as the ratio of industry trend sentences included in the industry characteristic data decreases.

[0288] Additionally, the device (30) can increase the number of additional strategy keywords containing policy linkage information as the difference between the first ratio and the second ratio exceeds a preset standard, and can determine the priority of the policy linkage-centered event planning strategy as high as the semantic association between policy direction sentences is high.

[0289] For example, the device (30) can generate additional strategic keywords containing policy linkage information during the process of generating event planning strategies for the International Energy Industry Forum event. The device (30) can calculate a first ratio by identifying the ratio of institutional request pattern sentences related to “international technology cooperation,” “intergovernmental joint research,” and “national policy promotion” from institutional characteristic data.

[0290] Additionally, the device (30) can calculate a second ratio by verifying the ratio of eco-friendly energy industry trend sentences and the ratio of technology change sentences from industry characteristic data. The device (30) can generate additional strategic keywords including government cooperation-centered strategic information and policy announcement session strategic information as the first ratio is higher than the second ratio, and can increase the reflection ratio of ministerial-level opening session composition information and government agency promotion composition information as the difference between the first ratio and the second ratio increases.

[0291] Additionally, the device (30) can generate higher priority for policy explanation session strategy information and public institution cooperation strategy information as the ratio of policy direction sentences increases.

[0292] The device (30) can improve the accuracy of the ordering agency's response and the suitability of the event strategy based on additional strategy keywords containing policy linkage information. For example, the device (30) can increase the ratio of policy presentation sessions, the ratio of government cooperation spaces, and the ratio of public institution networking as the difference between the first ratio and the second ratio increases.

[0293] Additionally, the device (30) can increase the ratio of policy promotion-centered strategies within the event planning strategy as the frequency of appearance of additional strategy keywords containing policy linkage information increases, and can calculate a higher suitability for responding to the ordering agency as the semantic association between the agency interest keyword and the policy direction sentence is high.

[0294] In step S404, if the first ratio is less than the second ratio, the device (30) can generate additional strategy keywords containing industry trend information in proportion to the difference between the first ratio and the second ratio to increase the effect of reflecting industry issues.

[0295] Industry trend information may refer to information regarding the direction of technological changes, policy changes, or industrial operations that have recently increased or are appearing repeatedly in the industrial sector. For example, it may include, but is not limited to, information on the transition to eco-friendly industries, information on the application of artificial intelligence technology, information on digital transformation, and information on global industrial cooperation.

[0296] The device (30) may determine that the need to reflect industry trends is higher as the second ratio is higher than the first ratio, and may increase the generation ratio of additional strategic keywords containing industry trend information as the difference between the first ratio and the second ratio increases. Additionally, the device (30) may increase the reflection ratio of industry trend information as the ratio of industrial policy change sentences and the ratio of technology change sentences increase.

[0297] According to one embodiment, the device (30) can adjust the priority of additional strategy keywords containing industry trend information based on the difference between the first ratio and the second ratio.

[0298] Additional strategic keywords may refer to strategic information generated additionally to prioritize the reflection of the direction of industrial or technological change, in addition to existing strategic keywords. Examples include, but are not limited to, strategic information on the announcement of the latest technology, strategic information on the expansion of industrial exchange, strategic information on digital experience exhibitions, and strategic information on global industrial cooperation.

[0299] The device (30) can calculate a second ratio higher as the ratio of industry trend sentences included in the industry characteristic data increases, and can increase the difference between the first ratio and the second ratio as the ratio of policy direction sentences included in the institution characteristic data decreases.

[0300] Additionally, the device (30) can increase the number of additional strategy keywords containing industry trend information as the difference between the first ratio and the second ratio exceeds a preset standard, and can determine the priority of the industry trend-centered event planning strategy as high as the semantic association between sentences regarding the direction of industry change is high.

[0301] For example, the device (30) can generate additional strategy keywords containing industry trend information during the process of generating event planning strategies for the International Energy Industry Forum event.

[0302] The device (30) can calculate a second ratio by identifying the ratio of sentences regarding changes in eco-friendly energy policies, the ratio of sentences regarding changes in next-generation reactor technology, and the ratio of sentences regarding global carbon neutrality strategies from industrial characteristic data. Additionally, the device (30) can calculate a first ratio by identifying the ratio of sentences regarding government policy announcements and the ratio of sentences regarding institutional request patterns from institutional characteristic data.

[0303] The device (30) can generate additional strategy keywords including eco-friendly industry exhibition strategy information, next-generation technology presentation strategy information, and global industry cooperation strategy information as the second ratio is higher than the first ratio, and can increase the reflection ratio of technology experience exhibition configuration information and industry networking configuration information as the difference between the first ratio and the second ratio increases.

[0304] Additionally, the device (30) can generate higher priority for the latest technology session strategy information and global industry exchange strategy information as the ratio of industry change direction sentences increases.

[0305] The device (30) can improve the accuracy of responding to industry trends and the efficiency of reflecting event strategies based on additional strategic keywords containing industry trend information.

[0306] For example, the device (30) can increase the ratio of the latest technology presentation session, the ratio of the industrial experience exhibition, and the ratio of the global industrial exchange as the second ratio is higher than the first ratio.

[0307] Additionally, the device (30) can increase the ratio of strategies centered on reflecting industry trends within the event planning strategy as the frequency of appearance of additional strategy keywords containing industry trend information increases, and can calculate a higher suitability for responding to the industry sector as the semantic association between sentences regarding the direction of industry change increases.

[0308] In step S405, the device (30) can generate additional strategy keywords to increase the suitability of the event purpose and the suitability of the winning strategy based on characteristic information corresponding to the highest ratio among the third ratio, the fourth ratio, and the fifth ratio.

[0309] Event purpose suitability may refer to the degree to which the generated event planning strategy aligns with the event promotion direction and event operation goals included in the event purpose information, and may include, for example, information regarding the degree to which international cooperation objectives, industry promotion objectives, and policy announcement objectives are reflected, but is not limited thereto.

[0310] The suitability of a winning bid strategy may refer to the degree to which the generated event planning strategy is linked to information on past winning bid success patterns. For example, it may include, but is not limited to, information regarding the degree to which high-scoring session compositions are reflected, the degree to which strategies for responding to the ordering agency are reflected, and the degree to which space operation strategies are reflected.

[0311] The device (30) can determine a higher priority for reflecting characteristic information corresponding to the highest ratio as the highest ratio among the third ratio, fourth ratio, and fifth ratio increases.

[0312] According to one embodiment, the device (30) can determine the direction of generation of additional strategy keywords based on the comparison results of the third ratio, the fourth ratio, and the fifth ratio. The third ratio may refer to ratio information of data corresponding to an institution type pattern among institution type characteristic data, and the fourth ratio may refer to ratio information of data corresponding to a country type pattern among country type characteristic data.

[0313] Additionally, the fifth ratio may refer to ratio information of data corresponding to the event purpose pattern among the event purpose characteristic data. The device (30) can generate additional strategic keywords that prioritize reflecting the strategic direction centered on the response to the institution type as the third ratio is highest, and can generate additional strategic keywords that prioritize reflecting the strategic direction centered on national cooperation as the fourth ratio is highest.

[0314] Additionally, the device (30) can generate additional strategic keywords that prioritize reflecting the strategic direction centered on responding to the event purpose as the fifth ratio is highest. The device (30) can increase the reflection ratio of characteristic information corresponding to the highest ratio as the difference between the third ratio, the fourth ratio, and the fifth ratio increases.

[0315] For example, the device (30) can generate additional strategy keywords during the process of generating event planning strategies for the International Nuclear Industry Forum event. The device (30) can calculate a third ratio by verifying the ratio of government agency operational direction sentences from agency type characteristic data, and can calculate a fourth ratio by verifying the ratio of international technology cooperation sentences and the ratio of inter-country industrial exchange sentences from country type characteristic data.

[0316] Additionally, the device (30) can calculate a fifth ratio by verifying the ratio of sentences for industrial promotion purposes and the ratio of sentences for policy announcement purposes from event purpose characteristic data. The device (30) can generate additional strategic keywords containing national cooperation-centered strategic information as the fourth ratio is higher than the third ratio and the fifth ratio, and can increase the reflection ratio of inter-country joint session strategic information, multilingual operation strategic information, and international networking strategic information.

[0317] Additionally, the device (30) can generate additional strategy keywords including industrial promotion strategy information and policy announcement strategy information when the fifth ratio is highest.

[0318] The device (30) can improve the suitability of the event purpose and the suitability of the winning strategy based on additional strategy keywords. For example, the device (30) can increase the ratio of institution type response-centered sessions and institution promotion sessions as the third ratio is highest, and can increase the ratio of international cooperation sessions and inter-country exchange sessions as the fourth ratio is highest.

[0319] Additionally, the device (30) can increase the space operation configuration ratio and design configuration ratio that are directly linked to the event purpose information as the fifth ratio is highest.

[0320] The device (30) can calculate a higher degree of suitability for the winning strategy as the semantic association between additional strategy keywords and past winning pattern information is higher, and can calculate a higher degree of suitability for the event purpose as the semantic association between event purpose information and additional strategy keywords is higher.

[0321] Meanwhile, the device (30) can generate an event planning strategy by applying weights based on changes in the event strategy index calculated during the process of generating event planning information for an exhibition or convention event to the institution-response design area, industry-response design area, institution-type-response design area, country-type-response design area, and event-purpose-response design area, respectively, so that the planning design scope is gradually expanded.

[0322] Changes in the event strategy index may refer to information on changes calculated based on changes in the frequency of appearance of strategy keywords during the process of generating administrative planning information, changes in the semantic association between event purpose information and strategy keywords, and changes in the degree of linkage between successful bid pattern information and strategy keywords. For example, it may include, but is not limited to, information regarding the increase rate of incorporating international cooperation strategies, the increase rate of incorporating industrial policies, and the increase rate of incorporating institutional response strategies.

[0323] Additionally, the weight may refer to value information for adjusting the reflection ratio of strategic elements reflected in each corresponding design area or the degree of expansion of the strategic scope. The device (30) may increase the reflection ratio of the institution corresponding design area and the event purpose corresponding design area as the growth rate of the event strategy index exceeds a preset first standard, and may increase the number of types of session configuration information, space operation information, and participant operation information included in the industry corresponding design area and the country type corresponding design area as the growth rate of the event strategy index exceeds a preset second standard.

[0324] The gradual expansion of the planning and design scope may mean gradually expanding the scope of priority reflection of strategic keywords. For example, if the growth rate of the event strategy index is 5% or more but less than 10%, the number of additional session configuration information reflected compared to the existing session configuration information may be increased by one, and if the growth rate of the event strategy index is 10% or more, the cross-country exchange configuration information and industry cooperation configuration information may be additionally reflected.

[0325] The device (30) can apply different weights to each response design area depending on the amount of change in the event strategy index. For example, the device (30) may prioritize increasing the ratio of policy announcement sessions and the ratio of institutional cooperation as the increase rate of the event strategy index in the institution response design area is higher than the increase rate of the event strategy index in the industry response design area, and may increase the reflection ratio of information on inter-country exchange sessions and multilingual operation configuration information as the increase rate of the event strategy index in the country type response design area is the highest.

[0326] Additionally, the device (30) can expand the scope of reflection of design configuration information and space operation configuration information directly linked to event purpose information when the increase rate of the event strategy index in the event purpose corresponding design area is greater than or equal to a preset standard.

[0327] In one embodiment, the device (30) can increase the weight of the country type corresponding design area based on the increase rate of the frequency of appearance of international cooperation strategy keywords and the increase rate of the ratio of industrial exchange sentences between countries at the International Energy Industry Forum event, and can gradually increase the number of country cooperation session configurations, the number of global networking configurations, and the number of multilingual operation configurations.

[0328] Additionally, the device (30) can update the criteria for applying weights for each corresponding design area based on actual event operation result information, event satisfaction information, and information on whether the bid was successful, and as the change in the event strategy index decreases, the range of reflection of additional strategy elements can be reduced to prevent over-application of strategy.

[0329] That is, the device (30) can generate multiple corresponding design areas and strategic keywords based on ordering agency information, industry trend information, national cooperation information, agency type information, country type information and event purpose information, and use them to generate an event planning strategy for an exhibition convention event.

[0330] Additionally, the device (30) can generate strategic keywords based on characteristic data included in the agency response design area, industry response design area, agency type response design area, country type response design area, and event purpose response design area, and can generate additional strategic keywords including policy linkage information and industry trend information based on the comparison results of the first to fifth ratios.

[0331] Accordingly, the device (30) can generate an event planning strategy that comprehensively reflects the direction of the ordering agency's requirements, the direction of industrial change, the direction of national cooperation, and the direction of the event purpose, and can improve the suitability of the event purpose and the suitability of the winning strategy by variably expanding the scope of the planning design according to the change in the event strategy index.

[0332] In addition, unlike a simple template-based event planning structure, the device (30) can generate a strategy-centered event planning strategy that responds to changes in the event purpose and industrial environment, thereby improving event operation efficiency and accuracy of response to the ordering agency.

[0333] FIG. 5 is a flowchart illustrating the process of configuring event planning information according to one embodiment.

[0334] Referring to FIG. 5, first, in step S501, the device (30) can obtain information on the ordering organization, information on the purpose of the event, information on the industry sector, and information on the operation of the event from the collected event planning data during a preset event planning period. At this time, the preset event planning period may be set differently depending on the embodiment.

[0335] The event planning period may refer to information regarding the period from the start of writing the event proposal to the completion of the event operation plan, and may include, for example, information regarding the three months prior to the date of registration of the bid announcement, the six months prior to the date of holding the event, and the analysis period of past events in the same industry, but is not limited thereto.

[0336] Information regarding the ordering agency may refer to information regarding the ordering agency's policy direction, evaluation criteria, and past event operation direction, and information regarding the event purpose may include, but is not limited to, information regarding the purpose of international cooperation, industrial promotion, or policy announcement.

[0337] In addition, industrial sector information may include information regarding the direction of changes in industrial policy, the direction of technological issues, and the direction of industrial exchange, and event operation information may refer to information regarding the operational direction or operational structure required during the event operation process, and may include, for example, session operation information, participant operation information, speaker operation information, interpretation operation information, and space operation information, but is not limited thereto.

[0338] The device (30) can increase the reflection rate of policy-linked operation information as the ratio of policy direction sentences included in the ordering agency information increases, and can set the priority of industry-linked operation information higher as the semantic correlation between event purpose information and industry sector information increases.

[0339] Additionally, the device (30) can expand the scope of reflection of past event performance information as the event planning period is longer, and can increase the reflection rate of recent industry trend information and latest event operation information as the event planning period is shorter.

[0340] According to one embodiment, the device (30) can obtain information on the ordering organization, information on the purpose of the event, information on the industry sector, and information on the operation of the event by analyzing the sentence structure, keyword frequency, and contextual correlation included in the event planning data.

[0341] The device (30) can determine the ordering agency's response direction based on the frequency of appearance of policy direction sentences, evaluation criteria sentences, and agency requirement sentences included in the ordering agency information.

[0342] Additionally, the device (30) can determine the direction of the event purpose based on the appearance ratio of international cooperation sentences, industrial promotion sentences, and technology exchange sentences included in the event purpose information.

[0343] The device (30) can determine the direction of industrial sector response based on the frequency of appearance of industrial policy change sentences and technology change sentences included in industrial sector information, and can determine the direction of event operation based on the frequency of appearance of session configuration sentences, participant operation sentences and space operation sentences included in event operation information.

[0344] The device (30) can increase the reflection rate of the event purpose-centered event operation strategy as the semantic correlation between the event purpose information and the industry sector information increases, and can determine the priority of the agency response-centered event operation strategy as the correlation between the ordering agency information and the event operation information increases.

[0345] As an example, the device (30) can obtain information on the ordering agency, information on the purpose of the event, information on the industrial sector, and information on the operation of the event based on event planning data for the International Energy Industry Forum. The device (30) can verify information on the direction of government policy announcements, directions for international cooperation, and directions for public research linkage from the information on the ordering agency, and can verify information on the purpose of international technology exchange and the purpose of industrial promotion from the information on the purpose of the event.

[0346] In addition, the device (30) can check information on the direction of change in eco-friendly energy policy and next-generation reactor technology from industrial sector information, and can check information on the operation of the ministerial-level opening session, global networking operation information, and multilingual interpretation operation information from event operation information.

[0347] The device (30) can increase the reflection rate of international exchange-centered event operation strategies as the proportion of sentences related to international cooperation increases, and can increase the reflection rate of latest technology presentation session strategies as the proportion of sentences related to industrial policy changes increases. Additionally, the device (30) can determine a higher priority for policy presentation-centered operation strategies and VIP response operation strategies as the proportion of sentences related to government agency response increases.

[0348] In step S502, the device (30) can obtain event venue information, target audience information, event schedule information, and design configuration information during the event planning period from the collected event planning data.

[0349] Event venue information may refer to information regarding the spatial characteristics or operational environment of the venue where the exhibition or convention event is held, and may include, for example, information on venue capacity, stage layout, exhibition hall structure, interpretation booth layout, and networking space configuration, but is not limited thereto.

[0350] Information regarding participants may refer to information regarding the occupational group, country, industry sector, or purpose of participation of the participants in the event, and may include, for example, information on government officials, industry experts, overseas participants, and investment institutions, but is not limited thereto.

[0351] In addition, event schedule information may include session operating times, opening ceremony schedule, networking schedule, and presentation order information, and design composition information may include, but is not limited to, information regarding event design direction, color composition direction, promotional video composition direction, and stage graphic composition direction.

[0352] According to one embodiment, the device (30) can obtain event venue information, target audience information, event schedule information, and design configuration information by analyzing sentence structures, schedule configuration sentences, and design description sentences included in event planning data.

[0353] The device (30) can determine the direction of space operation based on the frequency of appearance of space configuration sentences and seat arrangement sentences included in the event venue information, and can determine the direction of participant operation based on the frequency of appearance of participant sentences by country and participant sentences by industry included in the participant information.

[0354] Additionally, the device (30) can determine the direction of schedule operation based on the frequency of appearance of session operation sentences, presentation order sentences, and networking operation sentences included in the event schedule information, and can determine the direction of design operation based on the frequency of appearance of color composition sentences, design concept sentences, and video production sentences included in the design composition information.

[0355] In step S503, the device (30) can calculate the planning deviation index.

[0356] Specifically, the device (30) can calculate a planning deviation index by analyzing the current event configuration status, the degree of reflection of the event purpose, the configuration repeatability, the operational concentration, and the design change degree based on pre-set event planning standard information, event venue information, target audience information, event schedule information, and design configuration information.

[0357] Event planning standard information may refer to information regarding standard operational directions or standard planning structures corresponding to the purpose of the event, and may include, for example, standard session configuration information, standard space operation information, standard participant operation information, and standard design configuration information, but is not limited thereto.

[0358] According to one embodiment, the device (30) can verify pre-set event planning criteria information from past event performance information, successful bid history information, and criteria planning template information stored in a database, and can verify event planning criteria information by receiving event operation criteria information and event purpose criteria information input from a user's terminal (10), or by collecting event operation criteria sentences and policy direction sentences from the ordering agency's homepage, bid announcement system, and industrial policy provision server.

[0359] The current event configuration status may refer to information regarding the session configuration status, space configuration status, and participant management status of the currently generated event planning information, and the degree of reflection of the event purpose may refer to information regarding the ratio at which the event purpose information is reflected in the current event planning information.

[0360] Additionally, configuration repeatability may refer to the degree of repetition of the same session configuration, the same operational configuration, or the same design configuration, and operational concentration may refer to the degree to which operational strategies for specific sessions or specific participants are concentrated.

[0361] Design variation may refer to the degree of color variation between design composition information, the degree of graphic composition variation, and the degree of promotional video composition variation.

[0362] The device (30) can calculate a higher planning deviation index as the degree of reflection of the event purpose decreases, and can calculate a higher planning deviation index as the composition repeatability increases.

[0363] The device (30) can calculate a planning deviation index by analyzing event venue information, target participant information, event schedule information and design configuration information.

[0364] The device (30) can analyze the current event configuration status based on the difference between the number of space configuration sentences included in the event venue information and the number of actual space operation configuration sentences, and can analyze the degree of event purpose reflection based on the correlation ratio between the number of event purpose sentences included in the event purpose information and the number of actual session configuration sentences.

[0365] Additionally, the device (30) can analyze compositional repeatability based on the ratio of repeated occurrences of identical compositional sentences among session operation sentences included in the event schedule information, and can analyze operation concentration based on the ratio of concentrated placement of specific session compositional sentences.

[0366] The degree of design change can be analyzed based on the ratio of differences between color composition sentences, graphic composition sentences, and video direction sentences included in the design composition information.

[0367] The device (30) can calculate a lower planning deviation index as the degree of reflection of the event purpose increases, and can calculate a higher planning deviation index by determining that the monotony of the design composition increases as the degree of design variation decreases.

[0368] Specifically, the device (30) can analyze the current event configuration status, the degree of reflection of the event purpose, the configuration repeatability, the operational concentration, and the degree of design change by comparing and analyzing the standard session configuration information, standard space operation information, standard participant operation information, and standard design configuration information included in the pre-set event planning standard information, as well as the event venue information, target audience information, event schedule information, and design configuration information.

[0369] For example, the device (30) can analyze the current event configuration status based on the ratio of the actual session configuration information to the reference session configuration information, and can analyze the degree of reflection of the event purpose based on the ratio of the semantic association between the purpose sentence included in the event purpose information and the session sentence included in the actual event schedule information.

[0370] Additionally, the device (30) can analyze configuration repeatability based on the ratio of repeated occurrences of identical session configuration sentences, identical design configuration sentences, and identical operation configuration sentences, and can analyze operation concentration based on the ratio of sessions concentrated in specific target audiences or specific industrial sectors.

[0371] The device (30) can analyze the degree of design change based on the ratio of differences between the color composition sentence, graphic composition sentence, and video production sentence included in the design composition information, and can determine the state of spatial operation imbalance as the correlation between the event venue information and the participant information is lower.

[0372] The device (30) can calculate a higher planning deviation index as the degree of reflection of the event purpose is lower, the composition repeatability is higher, the operational concentration is higher, and the design change rate is lower, and can calculate a lower planning deviation index as the ratio of agreement between the current event composition state and the pre-set event planning standard information is higher.

[0373] The device (30) can determine whether the event planning strategy needs correction or reconfiguration based on the planning deviation index. For example, the device (30) can determine the priority of correction for the event purpose response strategy as the degree of reflection of the event purpose is below a preset standard, and can increase the reflection rate of the new session composition strategy and new design strategy as the composition repeatability is above a preset standard.

[0374] In step S504, the device (30) can classify the event planning strategy into a planning deviation strategy and a normal planning strategy according to the planning deviation index.

[0375] Specifically, the device (30) may classify an event planning strategy as a planning deviation strategy when the planning deviation index is greater than or equal to a preset standard, and classify an event planning strategy as a normal planning strategy when the planning deviation index is less than or equal to a preset standard. At this time, the preset standard may be set differently depending on the embodiment.

[0376] A planning deviation strategy may refer to an event planning strategy in which the degree of reflection of the event's purpose, the balance of operational composition, or the variation in design composition does not reach a standard level. Examples include, but are not limited to, strategies with a bias in session composition, strategies with an imbalance in participant management, and strategies with repetitive design.

[0377] Additionally, a normal planning strategy may refer to an event planning strategy in which event purpose information, event operation information, and design composition information are reflected at a level higher than the standard level. The device (30) can calculate a higher planning deviation index as the degree of reflection of the event purpose decreases, and can classify the event planning strategy as a planning deviation strategy as composition repeatability increases.

[0378] The device (30) can classify the status of the event planning strategy by comparing the planning deviation index with a preset standard.

[0379] The device (30) can determine that the planning deviation index is above a preset standard, that the event purpose is insufficiently reflected or the operational configuration is unbalanced, and can determine a higher priority for the correction of the planning deviation strategy. Additionally, the device (30) can determine that the planning deviation index is below a preset standard, that the operation is normal, and classify it as a normal planning strategy.

[0380] As an example, the device (30) can classify event planning strategies for an international energy industry forum event. The device (30) can calculate a planning deviation index above a standard when the correlation ratio between the international cooperation objective statement and the actual session composition statement is low and the repetition ratio of the technical presentation session is high.

[0381] Accordingly, the device (30) can classify the event planning strategy as a planning deviation strategy by determining that there is a lack of reflection of the purpose of international cooperation and a repetition of the session composition. Additionally, if the ratio of international cooperation session composition is high and the ratio of design composition change is above the standard, the device (30) can calculate the planning deviation index as being below the standard and classify the event planning strategy as a normal planning strategy. The device (30) can determine a higher priority correction ranking for the planning deviation strategy as the operational concentration is concentrated in a specific industrial sector.

[0382] In step S505, the device (30) inputs event purpose information, industry sector information, and design configuration information included in the planning deviation strategy into an artificial intelligence model agent, thereby classifying the planning deviation strategy into a planning correction possible strategy and a planning reconfiguration necessary strategy.

[0383] A strategy for adjustmentable planning may refer to strategic information that can improve the suitability of an event for its objectives or operational suitability by adjusting some components of an existing event planning strategy, and may include, for example, strategies for adjusting the session order, strategies for adjusting design colors, and strategies for distributing participants, but is not limited thereto.

[0384] In addition, strategies requiring planning restructuring may refer to strategic information requiring structural changes to existing event planning strategies, and may include, for example, strategies for redesigning the event theme, strategies for rearranging session structures, and strategies for restructuring space operations, but are not limited thereto.

[0385] The device (30) can be classified as a strategy that can be corrected as the degree to which it reflects the purpose of the event is high, and can be classified as a strategy that requires reconfiguration as the degree to which it has repetitive composition is high.

[0386] According to one embodiment, the device (30) can classify planning correction possible strategies and planning restructuring necessary strategies by analyzing the sentence structure and semantic correlation included in event purpose information, industry field information and design composition information.

[0387] The device (30) can determine that partial correction is possible if the semantic correlation between event purpose information and session configuration information is greater than a standard, and can determine that structural redesign is required if the semantic correlation between design configuration information and industry field information is low.

[0388] Additionally, the device (30) can be classified as a strategy requiring planning reconfiguration as the ratio of the difference between the direction of industrial change included in the industrial sector information and the actual direction of event operation increases.

[0389] The device (30) can determine a higher priority for planning correction strategies as the semantic association between event purpose information and design composition information increases.

[0390] Specifically, the device (30) may use an artificial intelligence model agent trained to classify planning correction possible strategies and planning reconstruction necessary strategies by utilizing event purpose information, industry sector information, and design configuration information included in the planning deviation strategy as input data.

[0391] Information regarding the purpose of an event may include, but is not limited to, information for the purpose of international cooperation, information for the purpose of industrial promotion, information for the purpose of policy announcement, and information for the purpose of technology exchange.

[0392] In addition, industrial sector information may include information on the direction of industrial policy changes, information on the direction of technological changes, information on industrial trends, and information on the direction of industrial linkages, and design composition information may include, but is not limited to, color composition information, graphic composition information, stage production information, and promotional video composition information.

[0393] The device (30) can convert the semantic correlation between event purpose information and actual session configuration information, the difference ratio between industry sector information and event operation information, and the change ratio between design configuration information into input data and provide them to an artificial intelligence model agent.

[0394] Additionally, the device (30) can convert configuration repeatability information, operational concentration information, and design change information included in the planning deviation strategy into vector-type analysis data and include them in the input data.

[0395] The artificial intelligence model agent can generate information on the classification results of strategies capable of planning correction and strategies requiring planning reconfiguration as output data corresponding to the input data, and can additionally output correction priority information, reconfiguration necessity information, and strategy change recommendation information for each strategy.

[0396] The device (30) can be classified as a planning correction possible strategy as the semantic correlation between the event purpose information and the actual event operation direction increases, and can be classified as a planning reconstruction necessary strategy as the ratio of the difference between the direction of change in the industrial field and the direction of design composition increases.

[0397] The device (30) can train an artificial intelligence model agent based on past event performance information, successful bid pattern information, user modification history information, and actual event operation result information.

[0398] The device (30) can perform a supervised learning-based learning process by setting event purpose information, industry field information, and design configuration information included in past event performance information as input data, and setting strategy information corrected by an actual user or reconstructed strategy information as correct answer data.

[0399] Additionally, the device (30) can perform an additional reinforcement learning-based learning process to correct the strategy classification accuracy based on event satisfaction information, participant reaction information, and information on whether the bid was successful.

[0400] For example, the device (30) can learn a planning correction strategy when the semantic correlation between the event purpose information and the actual session configuration information is high and the ratio of design change is within a standard range, and can learn a planning reconstruction strategy when the ratio of the difference between the direction of industrial policy change and the direction of actual event operation is greater than a standard.

[0401] The device (30) can increase the classification weight of strategies requiring planning reconfiguration for strategy types where user modification information occurs repeatedly after actual event operation, and can learn to prioritize improving the classification accuracy of strategies that can be planned corrected for strategy types with high event satisfaction information.

[0402] As an example, the device (30) can classify planning deviation strategies for an international energy industry forum event. The device (30) can classify a planning correction possible strategy by determining it as a design correction centered strategy when the linkage ratio between the international cooperation purpose sentence and the actual session composition sentence is above a certain level and the change ratio between the design composition sentences is below a standard.

[0403] Additionally, the device (30) may classify the event structure itself as a strategy requiring reorganization of planning if the ratio of the difference between the eco-friendly energy policy direction included in the industrial sector information and the actual event operation direction is above the standard and the ratio of international cooperation session composition is low.

[0404] The device (30) can improve the efficiency of correcting event planning information and the accuracy of modifying strategies by classifying planning deviation strategies into planning correction-possible strategies and planning reconfiguration-required strategies.

[0405] That is, the device (30) can calculate a planning deviation index based on ordering agency information, event purpose information, industry sector information, event operation information, event venue information, target audience information, event schedule information and design configuration information, classify the event planning strategy into a planning deviation strategy and a normal planning strategy, and then subdivide the planning deviation strategy into a planning correction possible strategy and a planning reconfiguration necessary strategy to configure the event planning information.

[0406] In addition, the device (30) can calculate a planning deviation index by analyzing the current event configuration status, the degree of reflection of the event purpose, the configuration repeatability, the operational concentration, and the degree of design change, so it can quantitatively analyze the discrepancy between the event purpose and the actual operational direction, unlike a simple document generation method.

[0407] The device (30) can distinguish and reflect areas requiring partial modification and areas requiring structural redesign by classifying event planning strategies into planning correction-possible strategies and planning reconfiguration-required strategies, and can improve event purpose suitability, operational balance, and design connectivity.

[0408] In addition, the device (30) can dynamically correct event planning information based on the linkage between the event operation structure, the composition of participants, and the design composition, thereby improving the accuracy of generating event planning information and the efficiency of responding to winning bids in response to the direction of the ordering agency's requirements and the direction of industrial change.

[0409] FIG. 6 is a flowchart illustrating the process of updating event planning information according to one embodiment.

[0410] Referring to FIG. 6, first, in step S601, the device (30) can calculate the planning deviation for each strategy based on event planning data corresponding to the normal planning strategy and the planning deviation strategy.

[0411] The degree of planning deviation may refer to the extent to which an event planning strategy deviates from pre-established event planning standard information or event purpose information, and may include, for example, but is not limited to, information regarding the degree of mismatch with event purpose, the degree of bias in session composition, the degree of imbalance in participant management, and the degree of discontinuity in design composition.

[0412] Specifically, the device (30) can calculate the degree of mismatch in event purpose, the degree of bias in session composition, the degree of imbalance in participant management, and the degree of discontinuity in design composition by analyzing event purpose information, session composition information, participant information, and design composition information included in event planning data.

[0413] For example, the device (30) can calculate the degree of event purpose mismatch based on the ratio of semantic association between the purpose sentence included in the event purpose information and the session sentence included in the actual session configuration information, and can calculate the degree of session configuration bias based on the ratio of sessions concentrated in a specific industry sector or specific target audience.

[0414] Additionally, the device (30) can calculate the degree of imbalance in participant operation based on the ratio of participants by country, the ratio of participants by job group, and the difference ratio between the actual operation configuration included in the participant target information, and can calculate the degree of discontinuity in design configuration based on the ratio of the difference between the color configuration sentence, the graphic configuration sentence, and the video production sentence included in the design configuration information.

[0415] The device (30) can calculate a higher degree of planning deviation for each strategy as the degree of mismatch in event purpose is higher, the degree of bias in session composition is higher, the degree of imbalance in participant operation is higher, and the degree of discontinuity in design composition is higher, and can calculate a lower degree of planning deviation as the semantic association between event purpose information and actual event operation direction is higher.

[0416] According to one embodiment, the device (30) can calculate a higher degree of planning deviation as the degree of reflection of the event purpose decreases, and can calculate a higher degree of planning deviation as the composition repeatability increases.

[0417] The device (30) can calculate the degree of planning deviation by analyzing session configuration information, target audience information, event schedule information, and design configuration information included in the event planning data.

[0418] The device (30) can analyze the degree of mismatch in event purpose based on the semantic correlation ratio between event purpose information and actual session configuration information, and can analyze the degree of bias in session configuration based on the concentration ratio of sessions in specific industrial fields.

[0419] Additionally, the device (30) can analyze the degree of imbalance in participant operation based on the ratio of participants by country included in the target information and the ratio of the difference between the actual operation configuration, and can analyze the degree of discontinuity in design configuration based on the ratio of color change and the ratio of graphic configuration change between design configuration information.

[0420] The device (30) can calculate a lower degree of planning deviation as the degree of reflection of the event purpose increases, and can calculate a higher degree of planning deviation as the degree of design change decreases.

[0421] For example, the device (30) can calculate the degree of planning deviation of the normal planning strategy and the planning deviation strategy for the International Energy Industry Forum event. The device (30) can determine that the degree of mismatch in event objectives and the degree of bias in session composition are high if the linkage ratio between the international cooperation objective statement and the actual session composition statement is low and the repetition ratio of specific technology presentation sessions is high.

[0422] Additionally, the device (30) may determine that the degree of imbalance in participant operation is high when the ratio of multilingual operation session configuration to the ratio of overseas participants is low, and may determine that the degree of discontinuity in design configuration is high when the ratio of color configuration difference between design configuration information is low.

[0423] The device (30) can calculate a higher degree of deviation from the plan as the ratio of reflection of international cooperation purposes decreases, and can calculate a lower degree of deviation from the plan as the ratio of dispersion of participants increases.

[0424] In step S602, the device (30) can check a preset basic planning range according to the planning deviation index when the planning deviation for a planning correctionable strategy is less than the planning deviation for a planning reconfiguration necessary strategy. At this time, the preset basic planning range may be set differently depending on the embodiment.

[0425] Here, the basic planning scope may refer to event configuration scope information that is primarily maintained or partially adjusted during the correction process of the event planning strategy, and may include, for example, the basic session configuration scope, basic space operation scope, basic participant operation scope, and basic design configuration scope, but is not limited thereto.

[0426] The device (30) can determine that the existing event planning structure can be maintained as the degree of planning deviation of the planning correctionable strategy is lower, and the basic planning scope can be verified more broadly as the planning deviation index is lower. Additionally, the device (30) can increase the maintenance ratio of the basic session configuration scope as the degree of reflection of the event purpose is higher.

[0427] The device (30) can determine the level of strategy correction by comparing the degree of planning deviation for a strategy that can be corrected with the degree of planning deviation for a strategy that requires planning reorganization. For example, the device (30) can calculate each degree of planning deviation based on the degree of reflection of the event purpose, compositional repeatability, operational concentration, and design change, and then determine that if the degree of planning deviation for a strategy that can be corrected is lower than the degree of planning deviation for a strategy that requires planning reorganization, the strategy correction is possible with only partial modification. The device (30) can identify a narrower basic planning scope as the planning deviation index is lower, and can identify a wider basic planning scope as the planning deviation index is higher.

[0428] According to one embodiment, the device (30) can determine a strategy correction range based on the linkage relationship between the planning deviation index and the basic planning range. The preset basic planning range may be range information corresponding to each planning deviation index interval, for example, it may be set to include only the session order adjustment range when the planning deviation index corresponds to the first interval, and to include both the session order adjustment range and the design configuration adjustment range when the planning deviation index corresponds to the second interval.

[0429] Additionally, the device (30) can set the basic planning range to include additional space operation adjustment ranges and participant operation adjustment ranges when the planning deviation index is at least the third section. The device (30) can check the basic planning range more narrowly as the degree of reflection of the event purpose is higher, and can check the basic planning range more broadly as the degree of design change is lower.

[0430] Additionally, the device (30) may include a new session configuration adjustment range in the basic planning range as the session configuration repetition rate increases.

[0431] For example, the device (30) can compare the planning deviation of the planning correctionable strategy and the planning reconfiguration necessary strategy for the International Energy Industry Forum event.

[0432] The device (30) can calculate the planning deviation of a planning correctionable strategy based on the degree of reflection of the purpose of international cooperation and the degree of change in the design composition, and can calculate the planning deviation of a planning reconfiguration necessary strategy based on the ratio of the difference between the direction of industrial policy change and the direction of actual event operation.

[0433] The device (30) can check the basic planning range, including the session order adjustment range, the design color adjustment range, and the participant movement adjustment range, when the planning deviation of the planning correctionable strategy is lower. Additionally, as the planning deviation index increases, the device (30) can additionally include the range for adding international cooperation sessions and the range for adjusting multilingual operation configuration in the basic planning range.

[0434] The device (30) can narrow the scope of basic planning as the degree of reflection of the event purpose increases, and can widen the scope of basic planning as the concentration of operation increases.

[0435] The device (30) can improve the efficiency of correcting the event planning strategy and the stability of event operations based on the basic planning scope. For example, the device (30) can perform strategy correction centered on partial modification while maintaining the existing event structure as the degree of deviation from the planning correctable strategy is lower, and can minimize the scope of strategy modification while maintaining the accuracy of responding to the event objectives.

[0436] In step S603, the device (30) can determine the planning correction range.

[0437] The device (30) can determine the planning correction range by applying a reduction weighting factor based on the planning deviation of

[0438] The device (30) can determine that the stability of the existing event planning strategy is being restored as the degree of planning deviation regarding the strategy requiring planning reorganization decreases, and can reduce the planning correction range by applying a higher reduction weight as the decrease increases. Additionally, the device (30) can apply a higher reduction weight as the degree of reflection of the event purpose increases.

[0439] The device (30) can set a reduction weight based on the reduction rate of the degree of planning deviation regarding the planning reorganization necessary strategy, the increase rate of the degree of reflection of the event purpose, the reduction rate of compositional repeatability, and the reduction rate of operational concentration.

[0440] Reduction weights may refer to adjustment value information for reducing the scope of modifications to some parts of the basic planning scope, and may include, for example, session relocation reduction ratios, design modification reduction ratios, and space operation change reduction ratios, but are not limited thereto.

[0441] For example, the device (30) can set a reduction weight to a first value if the reduction rate of the planning deviation for the planning reconfiguration strategy at the current time compared to the previous time is 10% or more, and can further reduce the planning correction range by setting a reduction weight to a second value if the reduction rate is 20% or more. Additionally, the device (30) can set a higher reduction weight as the degree of reflection of the event purpose increases, and can determine the planning correction range in a direction that maintains the existing event planning strategy by setting a higher reduction weight as the degree of design change increases and composition repeatability decreases.

[0442] The device (30) can apply a reduction weight by comparing and analyzing the change in the degree of planning deviation of the planning correction-possible strategy and the planning reconfiguration-required strategy. The device (30) can calculate the reduction ratio of the degree of planning deviation for the planning reconfiguration-required strategy at the current time compared to the previous time, and if the reduction ratio is greater than or equal to a preset standard, it can exclude some adjustment ranges from the basic planning range.

[0443] For example, the device (30) can reduce the scope of design reconfiguration when the session configuration repetition rate decreases and the degree of design change increases, and can reduce the scope of participant operation modification when the degree of participant operation imbalance decreases.

[0444] The device (30) can determine a narrower range of planning correction as the reduction rate of planning deviation for the planning reconfiguration strategy is higher, and can prioritize the application of a planning correction range centered on partial modification as the degree of reflection of the event purpose is higher.

[0445] On the other hand, the device (30) can determine the planning correction range by applying an increasing weight according to the planning correction-reconstruction

[0446] Increased weights may refer to adjustment value information applied to expand the scope of modification for strategies requiring planning restructuring, and may include, for example, the ratio of new session additions, the ratio of design restructuring expansion, and the ratio of space operation changes expansion, but are not limited thereto.

[0447] The device (30) can determine that as the degree of planning deviation regarding the strategy requiring planning reorganization increases, the state of mismatch in event objectives or operational imbalance is intensifying, and as the increase rate increases, it can apply a higher increase weight to expand the range of planning correction. Additionally, the device (30) can apply a higher increase weight as the composition repeatability increases.

[0448] The device (30) can set an increasing weight based on the rate of increase in the rate of deviation from planning for the strategy requiring planning reorganization, the rate of decrease in the degree of reflection of the event purpose, the rate of increase in composition repetition, and the rate of increase in operational concentration.

[0449] For example, the device (30) can set an increase weight to a first value if the rate of increase in the rate of increase in the planning deviation for the planning reconfiguration strategy at the current time compared to the previous time is 10% or more, and can further expand the planning correction range by setting an increase weight to a second value if the rate of increase is 20% or more.

[0450] Additionally, the device (30) can set a higher increasing weight as the degree of reflection of the event purpose decreases, and can set a higher increasing weight as the composition repeatability increases and the degree of design change decreases, thereby expanding the scope of reflection of new session composition strategies, design reorganization strategies, and participant operation relocation strategies.

[0451] As an example, the device (30) may determine that the degree of planning deviation regarding the strategy requiring planning reconfiguration is increasing when the state of insufficient international cooperation sessions and the state of design repetition persist at the International Energy Industry Forum event. The device (30) may apply a higher increasing weight as the linkage ratio between the international cooperation objective sentence and the actual session configuration sentence decreases, and may expand the planning correction range including the scope of adding new international cooperation sessions and the scope of design reconfiguration.

[0452] Conversely, the device (30) may determine that the planning deviation from the planning reorganization strategy decreases when the international cooperation session composition ratio increases and the balance of participant operations improves, and may reduce the planning correction range within the scope of maintaining the existing event structure by applying a reduction weight.

[0453] In step S604, the device (30) can extract planning correction data within a planning correction range determined based on information collected from event venue information, target participant information, event schedule information, and design configuration information.

[0454] Planning adjustment data may refer to information subject to adjustment extracted to modify or supplement event planning strategies, and may include, for example, session rearrangement information, participant flow adjustment information, design color adjustment information, and space operation change information, but is not limited thereto.

[0455] The device (30) can set components with a low degree of reflection of the event purpose or components with high compositional repeatability among the event components included in the planning correction range as priority extraction targets.

[0456] Additionally, the device (30) can extract participant distribution adjustment information or session operation distribution information as planning correction data when the operation concentration is above a certain standard.

[0457] According to one embodiment, the device (30) can extract planning correction data by analyzing the semantic correlation and difference ratio between event venue information, target participant information, event schedule information and design configuration information.

[0458] The device (30) can extract space operation change information when the correlation rate between event venue information and event schedule information is low, and can extract participant-customized session adjustment information when the correlation rate between participant information and session configuration information is low.

[0459] Additionally, the device (30) can extract design diversification information when the ratio of color configuration difference between design configuration information is less than a standard, and can prioritize extracting new session placement information as the session configuration repetition ratio increases.

[0460] The device (30) can set the extraction range of planning correction data wider as the degree of reflection of the event purpose is lower, and can set the extraction ratio of design-related planning correction data lower as the degree of design change is higher.

[0461] For example, the device (30) can extract planning correction data for an international energy industry forum event. The device (30) can extract additional multilingual session information as planning correction data when the ratio of multilingual operation sessions to the ratio of overseas participants is low, and can extract international cooperation session relocation information when the ratio of the international cooperation purpose sentence and the actual session composition sentence is low.

[0462] Additionally, the device (30) can extract new design color adjustment information when the repetition rate of color configuration sentences included in the design configuration information is greater than a standard, and can extract distributed operation information for participants when the concentration rate of sessions in a specific industrial sector increases.

[0463] The device (30) can increase the number of extracted planning correction data as the degree of reflection of the event purpose decreases, and can determine a higher priority for the extraction of planning correction data related to new session configuration as the composition repeatability increases.

[0464] In step S605, the device (30) can determine planning adjustment information based on planning correction data.

[0465] Specifically, the device (30) can determine planning adjustment information by analyzing whether the cause of the planning deviation is a lack of reflection of the event purpose, a lack of linkage with the industrial sector, an imbalance in the event operation composition, or a mismatch in the design composition, based on planning correction data.

[0466] Planning and coordination information may refer to adjustment direction information generated to correct event planning strategies, and may include, for example, information on session additions, information on industry-linked session adjustments, information on participant operational reallocation, and information on design reconfiguration, but is not limited thereto.

[0467] Insufficient reflection of event purpose may mean a state where the semantic correlation ratio between event purpose information and actual event composition information is below the standard, and insufficient linkage with industry sector may mean a state where the correlation ratio between industry sector information and session composition information is below the standard.

[0468] An imbalance in event operation configuration may refer to a state where a specific target audience or specific session configuration is excessively concentrated, and a discrepancy in design configuration may refer to a state where the consistency of color configuration or graphic configuration among design configuration information is below the standard.

[0469] The device (30) can determine the cause of the deviation from the plan by analyzing the session configuration information, participant operation information, event schedule information, and design configuration information included in the planning correction data. The device (30) can determine that the event purpose is insufficiently reflected if the semantic correlation ratio between the event purpose information and the actual session configuration information is below a standard, and can determine that the industry sector is insufficiently linked if the correlation ratio between the core industry keywords included in the industry sector information and the actual session configuration sentences is below a standard.

[0470] According to one embodiment, the device (30) vectorizes the session configuration sentence, target operation sentence, event schedule sentence, and design configuration sentence included in the planning correction data using a natural language processing-based sentence embedding method, and then analyzes the cause of planning deviation using cosine similarity analysis, keyword occurrence frequency analysis, and sentence clustering analysis. For example, the device (30) can calculate the cosine similarity between the core purpose sentence included in the event purpose information and the actual session configuration sentence, and if the calculated cosine similarity is below a preset standard, it can determine that the event purpose is insufficiently reflected.

[0471] Additionally, the device (30) can analyze the lack of industrial sector linkage by comparing the frequency of appearance of industrial keywords included in industrial sector information with the frequency of appearance of industrial keywords included in actual session composition sentences, and can analyze the imbalance in event operation composition by calculating the session placement ratio and schedule concentration ratio corresponding to specific participants using a histogram-based distribution analysis method.

[0472] The device (30) can analyze the state of design configuration mismatch by calculating the similarity between the color configuration information, graphic configuration information, and video production information included in the design configuration information using an image feature vector comparison method or a design attribute matching method, and can determine the session adjustment information, participant operation adjustment information, industry linkage adjustment information, and design reconstruction information corresponding to the analyzed state as planning adjustment information.

[0473] Additionally, the device (30) can determine that the event operation configuration is unbalanced if the ratio of sessions concentrated on a specific participant is above a standard, and can determine that the design configuration is inconsistent if the ratio of color change and the ratio of graphic configuration difference between design configuration information are below a standard.

[0474] The device (30) can determine event purpose correction information as the degree of reflection of the event purpose is lower, and can determine the priority of new session configuration adjustment information as the configuration repeatability increases.

[0475] In step S606, the device (30) can determine the planning correction sequence,

[0476] Specifically, the device (30) can determine the order of planning correction by applying the planning correction data first when the difference in the degree of planning deviation between the planning correction possible strategy and the planning reconfiguration necessary strategy is greater than or equal to a preset standard, and can determine the order of planning correction by applying the new event planning strategy of the planning reconfiguration necessary strategy first when the difference in the degree of planning deviation between the planning correction possible strategy and the planning reconfiguration necessary strategy is less than a preset standard. At this time, the preset standard may be set differently depending on the embodiment.

[0477] The planning adjustment order may refer to information on the priority application order for applying each planning adjustment data to modify or reorganize the event planning strategy, and may include, for example, session adjustment priority information, design modification priority information, participant operation adjustment priority information, and space operation rearrangement priority information, but is not limited thereto.

[0478] The device (30) can determine the order of planning correction by applying planning correction data first, based on the determination that the stability of the existing event planning strategy can be maintained when the difference in planning deviation is greater than or equal to a preset standard.

[0479] Additionally, the device (30) can determine the order of planning correction by applying a new event planning strategy first, judging that it is difficult to secure the suitability of the event purpose with only the existing event planning strategy when the difference in the degree of planning deviation is less than a preset standard.

[0480] The device (30) can determine the order of planning correction based on the difference in the degree of planning deviation between the planning correction possible strategy and the planning reconfiguration necessary strategy. For example, the device (30) can calculate the degree of planning deviation for each strategy based on the degree of reflection of the event purpose, composition repeatability, operational concentration, and design change of the current time point compared to the previous time point, and can calculate the difference value between the calculated degrees of planning deviation and use it as a criterion for determining the order of planning correction.

[0481] The device (30) can determine that planning correction centered on partial modification can be performed while maintaining the existing session configuration or design configuration as the difference in planning deviation is greater than a preset standard, and can set the order of applying planning correction data first as a higher priority.

[0482] Conversely, the device (30) may determine that the greater the difference in planning deviation, the greater the need to modify the existing event structure itself, and may determine the planning correction order according to the order of applying the new event theme strategy, new session composition strategy, and new design composition strategy first.

[0483] The device (30) can set the existing strategy retention ratio higher as the difference in planning deviation is greater, and the new strategy reflection ratio higher as the difference in planning deviation is smaller.

[0484] For example, the device (30) can analyze the degree of planning deviation corresponding to the lack of international cooperation sessions and the design iteration state at the International Energy Industry Forum event.

[0485] The device (30) can determine the order of planning correction by applying design color adjustment information, participant movement path adjustment information, and session order adjustment information first, while maintaining the existing international cooperation session configuration, when the difference between the planning deviation of the planning correction-possible strategy and the planning deviation of the planning reconfiguration-needed strategy is greater than or equal to a standard.

[0486] On the other hand, the device (30) can determine the order of planning correction in the order of applying the new international cooperation session addition strategy, new industrial policy linkage strategy, and space operation reorganization strategy first when the ratio of reflection of international cooperation objectives decreases rapidly and the ratio of difference between the direction of industrial policy change and the actual event operation direction increases and the difference in planning deviation is below the standard.

[0487] Additionally, the device (30) can determine a higher priority for the application of the new session relocation strategy as the operational concentration increases, and a higher priority for the application of the new design configuration strategy as the degree of design change decreases.

[0488] The device (30) can improve the stability of the event planning strategy modification and the efficiency of responding to the event purpose based on the planning correction sequence.

[0489] For example, the device (30) can perform strategic adjustments focused on partial modifications while maintaining the existing event structure when there is a large difference in the degree of deviation from the plan, thereby maintaining the continuity of event operation.

[0490] In addition, the device (30) can quickly improve the state of mismatch in event objectives or lack of industrial linkage by prioritizing the application of a new event planning strategy when the difference in planning deviation is small.

[0491] In step S607, the device (30) can update event planning information according to the planning correction range and planning correction order.

[0492] The planning adjustment scope may include the session adjustment scope, participant operation adjustment scope, space operation adjustment scope, and design configuration adjustment scope, and the planning adjustment order may refer to information on the priority application order for applying each planning adjustment data.

[0493] The device (30) can select priority application target planning correction data according to the planning correction order, and the lower the degree of reflection of the event purpose, the higher the priority of reflection of the event purpose corresponding session configuration information can be set. In addition, as the composition repeatability increases, the scope of reflection of new session placement information and new design configuration information can be expanded.

[0494] According to one embodiment, the device (30) can update event planning information by reflecting planning correction data included in the planning correction range into the event planning strategy according to the planning correction order. For example, if the session adjustment information is determined to be a priority application target, the device (30) can reflect a new session placement structure by modifying existing event schedule information and participant operation information.

[0495] Additionally, the device (30) can create new design configuration information by changing the color configuration information, graphic configuration information, and promotional video configuration information included in the existing design configuration information when the design configuration adjustment information is determined to be the priority application target.

[0496] The device (30) can modify participant movement information and space layout information corresponding to event venue information when space operation adjustment information is included, and can change the session placement ratio and operation time distribution ratio by participant target when participant operation adjustment information is included.

[0497] The device (30) can set the ratio of maintaining the existing event planning strategy higher as the degree of reflection of the event purpose increases, and can set the ratio of reflecting the new strategy higher as the degree of deviation from the plan increases.

[0498] For example, the device (30) can update the event schedule information by prioritizing additional information on international cooperation sessions and overseas institution networking operation information when the reflection rate of international cooperation objectives is low during the process of updating event planning information for the International Energy Industry Forum.

[0499] Additionally, the device (30) can update session configuration information by reflecting new industrial sector session placement information when the concentration ratio of specific industrial sector sessions is above a standard, and can update design configuration information by reflecting new color configuration information and new stage graphic configuration information when the design configuration repetition ratio is above a standard.

[0500] The device (30) can set the reflection ratio of participant distribution operation information higher as the degree of imbalance in participant operation increases, and can set the existing session maintenance ratio higher as the degree of reflection of event purpose increases.

[0501] The device (30) can improve the suitability of the event purpose, operational stability, and design connectivity through the process of updating event planning information. For example, the device (30) can maintain a high suitability of the event purpose as the semantic correlation ratio between the event purpose information and the actual session configuration information increases, and can maintain a high degree of operational balance as the dispersion ratio of the participants increases.

[0502] In addition, the device (30) can secure design diversity as the ratio of color change and the ratio of graphic composition change between design composition information increase.

[0503] That is, the device (30) can calculate the planning deviation based on event planning data corresponding to the normal planning strategy and the planning deviation strategy, and update the event planning information by determining the planning correction range, planning adjustment information, and planning correction order according to the planning deviation and planning deviation index.

[0504] The device (30) can differentially apply a decreasing weight or an increasing weight based on the difference in the degree of deviation and the direction of change between the planning correction possible strategy and the planning reconfiguration necessary strategy, so the scope of modification of the event planning strategy can be variably adjusted according to the situation.

[0505] Since the device (30) can analyze the causes of deviation from the plan by subdividing them based on event venue information, target audience information, event schedule information, and design configuration information, unlike a simple document modification method, it can specifically distinguish and respond to the state of insufficient reflection of the event purpose, the state of insufficient linkage with the industrial sector, the state of imbalance in event operation, and the state of inconsistency in design configuration.

[0506] In addition, the device (30) can select an appropriate correction order between a correction method focused on maintaining the existing event planning strategy and a method prioritizing the application of the new event planning strategy, depending on the difference in the degree of deviation from the plan, so that the suitability of the event purpose and industrial linkage can be efficiently improved while maintaining the stability of the event operation.

[0507] FIG. 7 is a flowchart illustrating the process of generating spatial configuration information according to one embodiment and reflecting it in event planning information.

[0508] Referring to FIG. 7, first, in step S701, the device (30) can calculate a session linkage index by analyzing event purpose information, country type information, industry sector information and target participant information based on event planning strategy and event planning data.

[0509] The session linkage index may refer to information that quantifies the degree to which each session component information included in the event is linked to event purpose information, country type information, industry sector information, and target audience information. For example, it may include, but is not limited to, information on the suitability of international cooperation sessions, industry linkage sessions, suitability of sessions tailored to target audiences, and suitability of sessions based on national exchange.

[0510] According to one embodiment, the device (30) can vectorize the core purpose sentence included in the event purpose information, the national exchange direction sentence included in the national type information, the industry keyword sentence included in the industry field information, and the participant characteristic sentence included in the participant target information using a natural language processing-based sentence embedding method, and can calculate the semantic association with each session constituent sentence using a cosine similarity analysis method and a keyword clustering analysis method, but is not limited thereto.

[0511] The device (30) can calculate a higher session linkage index as the semantic association ratio between event purpose information and session configuration information is higher, and can calculate a lower session linkage index as the keyword matching ratio between industry field information and session configuration information is lower.

[0512] For example, the device (30) can calculate a session linkage index by analyzing event purpose information, country type information, industry sector information and target information for the International Energy Industry Forum event.

[0513] The device (30) can calculate a high international cooperation-based session suitability when the cosine similarity between the international cooperation purpose sentence and the international joint research session sentence is greater than or equal to the standard, and can calculate a high industry linkage-based session suitability when the keyword matching ratio between the eco-friendly energy industry keyword and the actual presentation session composition sentence is higher.

[0514] Additionally, the device (30) can calculate the suitability of customized sessions for participants based on the correlation between the participation rate of foreign government officials and the composition rate of global policy sessions, and can calculate the suitability of sessions based on national exchange based on the semantic correlation rate between the direction of cooperation between countries included in the country type information and the actual direction of session operation.

[0515] The device (30) can calculate a higher session linkage index as the semantic association ratio between the participant information and the session configuration information increases, and can calculate a lower session linkage index as the session configuration repeatability increases.

[0516] In step S702, the device (30) can generate multiple session groups and panel configurations by analyzing the topic relevance, presentation flow continuity, and target concentration for each session based on the session linkage index.

[0517] A session group may refer to organizational information that groups multiple presentation sessions by topic or operational purpose, and may include, for example, policy-linked session groups, industrial technology session groups, international cooperation session groups, and investment-linked session groups, but is not limited thereto.

[0518] Panel composition may refer to discussion composition information generated by combining presenters, discussants, and moderators within a specific session group, and may include, for example, information on the composition of industry expert panels, information on the composition of government agency panels, and information on the composition of international cooperation panels, but is not limited thereto.

[0519] The device (30) can vectorize the session composition sentence, presentation topic sentence, and participant characteristic sentence using a natural language processing-based sentence embedding method, and then calculate the topic association for each session using cosine similarity analysis and cluster analysis methods.

[0520] The thematic relevance by session may refer to how closely multiple presentation sessions are linked to the same event objective, industry sector, or direction of national cooperation.

[0521] According to one embodiment, the device (30) can calculate the topic relevance for each session based on the semantic similarity ratio between presentation session sentences, the industry field keyword matching ratio, and the event purpose linkage ratio, and the higher the semantic similarity ratio between presentation sessions, the higher the industry field keyword matching ratio, and the higher the event purpose linkage ratio, the higher the topic relevance for each session can be calculated.

[0522] Additionally, the device (30) can calculate the presentation flow continuity based on the presentation time order, the frequency of presentation topic switching, and the ratio of consecutive appearance of presentation keywords, and can calculate the participant concentration based on the ratio of interest sessions by participant and the ratio of industry sector matching by participant.

[0523] Presentation flow continuity can refer to the degree to which multiple presentation sessions are naturally connected in chronological order and transitions between presentation topics are maintained consistently.

[0524] According to one embodiment, the device (30) can calculate the presentation flow continuity based on the similarity of topic transitions between presentation sequences, the ratio of consecutive appearances of presentation keywords, and the ratio of time connections between sessions, and the higher the similarity of topic transitions between presentation sequences, the higher the ratio of consecutive appearances of presentation keywords, and the higher the ratio of time connections between sessions, the higher the presentation flow continuity can be calculated.

[0525] Target audience concentration can refer to how intensively specific participants are placed in or participate in sessions or industry sector sessions that they are interested in.

[0526] According to one embodiment, the device (30) can calculate the concentration of participants based on the participation rate of interest sessions by participant, the industry sector matching rate by participant, and the session selection concentration rate by participant, and the higher the participation rate of interest sessions by participant, the higher the industry sector matching rate by participant, and the higher the session selection concentration rate by participant, the higher the concentration of participants can be calculated.

[0527] The device (30) can classify sessions into the same session group as the degree of topical relevance per session is higher, and can arrange adjacent presentations as the degree of presentation flow continuity is higher.

[0528] For example, the device (30) can generate session groups and panel compositions for the eco-friendly energy policy session, carbon neutrality technology session, and global investment cooperation session at the International Energy Industry Forum event.

[0529] The device (30) can be classified into the same industry technology session group if the keyword similarity ratio between the eco-friendly energy policy session and the carbon neutral technology session is above the standard, and can be classified into the international cooperation session group if the national cooperation keyword linkage ratio between the global investment cooperation session and the overseas government agency presentation session is high.

[0530] Additionally, the device (30) can arrange sessions with high presentation flow continuity adjacently in chronological order, and can generate a panel composition including global investment experts and officials from international cooperation organizations when the participation rate of overseas investment institutions is high.

[0531] The device (30) can set the priority placement ranking of the session group corresponding to the participant as the concentration of the participant is higher, and can set the creation rate of the new industry sector session group as the repetition rate of the presentation topic increases.

[0532] In step S703, the device (30) can classify panels requiring session reconfiguration and priority placement panels by analyzing the degree of overlap in expertise between panels, suitability for national exchange, and responsiveness to event objectives from the generated session groups and panel configurations.

[0533] Panels requiring session restructuring may refer to panel compositions where the ratio of overlapping expertise, lack of linkage with international exchanges, or mismatch with the event's purpose exceeds a certain standard. Examples include, but are not limited to, panel compositions centered on presenters in the same industry, panels concentrated on presenters from specific countries, or panels lacking linkage with the event's purpose.

[0534] A priority placement panel may refer to a panel composition that is highly linked to information on the event purpose, country type, and target audience, and may include, for example, a priority panel composition for international cooperation, a priority panel composition for industrial policy response, and a priority panel composition tailored to the target audience, but is not limited thereto.

[0535] The device (30) can vectorize presenter history information, industry sector keyword information, national cooperation information, and session composition sentences using a natural language processing-based sentence embedding method, and then calculate the degree of overlap in expertise between panels using a cosine similarity analysis method and a keyword duplication analysis method.

[0536] Additionally, the device (30) can calculate the country exchange suitability based on the ratio of country exchange keywords linked between country type information and panel composition information, and can calculate the event purpose correspondence based on the semantic similarity between event purpose information and actual panel composition sentences.

[0537] The device (30) can be classified as a panel requiring session reorganization as the degree of overlap in specialized fields between panels is high, and can be classified as a priority placement panel as the degree of suitability for national exchange and responsiveness to event objectives is high.

[0538] The degree of overlap in expertise among panels may refer to the extent to which the industry sectors, research topics, and presentation keywords of presenters or discussants included in multiple panel compositions overlap with one another.

[0539] According to one embodiment, the device (30) can calculate the degree of overlap in specialized fields between panels based on the ratio of matching industry field keywords between presenters, the similarity of presentation topics, and the ratio of repeated appearance of technology keywords, and the degree of overlap in specialized fields between panels can be calculated as higher as the ratio of matching industry field keywords, the similarity of presentation topics, and the ratio of repeated appearance of technology keywords.

[0540] The suitability of national exchange can refer to how closely the panel composition aligns with the direction of inter-country cooperation, the purpose of international exchange, and the characteristics of participating overseas institutions.

[0541] According to the embodiment, the device (30) can calculate the country exchange suitability based on the country cooperation keyword linkage ratio, the overseas institution participation ratio, and the semantic similarity between country type information and panel composition information, and the higher the country cooperation keyword linkage ratio, the higher the overseas institution participation ratio, and the higher the semantic similarity between country type information and panel composition information, the higher the country exchange suitability can be calculated.

[0542] The degree of alignment with the event objective can refer to how well the panel composition aligns with the key objectives and operational direction included in the event objective information.

[0543] According to one embodiment, the device (30) can calculate the event purpose correspondence based on the event purpose keyword matching ratio, the cosine similarity between the event purpose sentence and the panel composition sentence, and the event purpose-based session placement ratio, and the event purpose correspondence can be calculated as higher as the event purpose keyword matching ratio is higher, the cosine similarity between the event purpose sentence and the panel composition sentence is higher, and the event purpose-based session placement ratio is higher.

[0544] For example, the device (30) can analyze the panel composition for the eco-friendly energy policy panel, global investment cooperation panel, and carbon neutral technology panel at the International Energy Industry Forum event.

[0545] The device (30) can classify a panel requiring session reorganization by determining that the degree of overlap in specialized fields is high when the ratio of presenters in the same industrial field and the ratio of repeated appearance of the same technical keywords are above a standard.

[0546] In addition, the device (30) can classify the country exchange suitability and event purpose responsiveness as a priority placement panel by calculating a high ratio of overseas government agency presenters, international cooperation keyword linkage ratio and global policy response sentence similarity above the standard.

[0547] The device (30) can be placed in priority during the event start section or core session time as the ratio of international cooperation purpose linkage increases, and as the ratio of presentation topic overlap increases, additional information on new industry sector presenters or panel reorganization information can be reflected in priority.

[0548] Additionally, the device (30) can analyze real-time participation-based panel configuration information for online events, and for hybrid events, it can independently analyze on-site presenter configuration information and online presenter configuration information to classify panels requiring session reconfiguration and priority placement panels.

[0549] In step S704, the device (30) can calculate a speaker response index and an interpretation linkage index based on speaker information, interpretation information, and event operation information included in the first placement panel.

[0550] The speaker suitability index may refer to information that quantifies the degree to which a speaker is suitable for a panel based on the speaker's field of expertise, presentation history, and suitability for the event's purpose. For example, it may include, but is not limited to, information on speakers suitable for specific industries, speakers suitable for international cooperation, and speakers tailored to the target audience.

[0551] The interpretation linkage index may refer to information that quantifies the degree to which an interpreter is suitable for the relevant panel based on the interpreter's language coverage range, level of coverage for specialized industrial terminology, and suitability for international exchange; for example, it may include, but is not limited to, information on interpretation for international cooperation, information on industrial technology interpretation, and information on multilingual operation interpretation.

[0552] The device (30) can vectorize the presentation topic sentences, industry sector keywords, and past presentation history sentences included in the speaker information using a natural language processing-based sentence embedding method, and then calculate the cosine similarity with the event purpose information and panel composition information to calculate the speaker correspondence index.

[0553] Additionally, the device (30) can calculate an interpretation linkage index by calculating a keyword match rate and semantic similarity based on language correspondence information, industrial term correspondence information, and national cooperation correspondence history information included in the interpretation information.

[0554] The device (30) can calculate a higher speaker response index as the event purpose linkage ratio increases, and can calculate a higher interpretation linkage index as the industry term matching ratio increases.

[0555] Speaker information may refer to the area of ​​expertise, presentation history, history of engagement with industry sectors, and history of international cooperation activities of presenters or panelists participating in the event. For example, it may include, but is not limited to, information on the speaker's past presentation topics, specialized keywords in the industry sector, participation in international events, and preferences of the target audience.

[0556] Interpretation information may refer to the range of language support available to an interpreter and the level of support for specialized industrial terminology during the event operation process. For example, it may include, but is not limited to, information regarding multilingual interpretation capabilities, history of interpreting industrial technical terms, information on interpretation performance at international cooperation events, and information on real-time online interpretation support.

[0557] Event operation information may refer to configuration information related to session operation, participant placement, and time management during the event process, and may include, for example, information regarding session operation schedules, participant placement, order of operations by country, presentation time allocation, and panel proceedings, but is not limited thereto.

[0558] According to one embodiment, the device (30) can vectorize the presentation topic sentence, industry sector keyword, and past presentation history sentence included in the speaker information, and the session purpose sentence, participant characteristic sentence, and national cooperation direction sentence included in the event operation information using a natural language processing-based sentence embedding method, and then calculate a speaker correspondence index using a cosine similarity analysis method and a keyword matching ratio analysis method.

[0559] Additionally, the device (30) can calculate an interpretation linkage index by comparing and analyzing the language correspondence range information, industry specialized terminology correspondence information, and international event interpretation performance history information included in the interpretation information, as well as the country type information, participating country information, and session operation language information included in the event operation information.

[0560] For example, the device (30) can calculate a speaker response index based on the industrial sector keyword matching rate, the national cooperation keyword linkage rate, and the participant suitability rate, and can calculate an interpretation linkage index based on the interpretable language matching rate, the industrial terminology response rate, and the national exchange linkage rate.

[0561] The device (30) can calculate a higher speaker response index as the industrial field keyword matching rate is higher, and can calculate a higher interpretation linkage index as the interpretable language matching rate is higher.

[0562] For example, the device (30) can calculate a speaker response index and an interpretation linkage index for the eco-friendly energy policy panel and the global investment cooperation panel at the International Energy Industry Forum event. The device (30) can calculate a high speaker response index by determining the speaker to be a suitable speaker for the industry sector if the cosine similarity between the speaker's past presentation sentences and the event purpose sentences is above a standard and the eco-friendly energy industry keyword matching rate is above a standard.

[0563] Additionally, the device (30) can calculate international cooperation suitability based on the interpreter's multilingual response history, history of participation in international cooperation events, and history of response to industrial technology terms, and for panels with a high participation rate of overseas institutions, it can calculate a high interpretation linkage index for interpreters with high response rates to English, Chinese, and Japanese.

[0564] The device (30) can calculate a higher speaker response index as the ratio of industrial sectors related to each participant is higher, and can calculate a higher interpretation linkage index as the suitability for national exchange is higher.

[0565] Additionally, the device (30) can additionally reflect real-time subtitle response information and remote interpretation response information for online events, and for hybrid events, it can calculate a speaker response index and an interpretation linkage index by independently analyzing on-site interpretation response information and online interpretation response information, respectively.

[0566] In step S705, the device (30) can reconstruct an event operation scenario including the order of the event, the order of presentations, and the order of interpretation placement based on the speaker response index and the interpretation linkage index.

[0567] An event operation scenario may refer to operational configuration information including the order of session operation, the order of presentation placement, the order of interpretation operation, and the operational flow for participants during the event process. For example, it may include, but is not limited to, information on the priority of international cooperation sessions, information on the sequential placement of industry sector presentations, information on interpretation placement by country, and information on operational flow tailored to participants.

[0568] The device (30) can analyze thematic continuity and suitability for the purpose of the event between presentations based on the speaker response index and the session linkage index, and can analyze the priority of language response by country based on the interpretation linkage index and country type information.

[0569] Additionally, the device (30) can vectorize the presentation topic sentence, the event purpose sentence, and the participant characteristic sentence using a natural language processing-based sentence embedding method, and then reconstruct the order of the event using a cosine similarity analysis method and a presentation flow continuity analysis method.

[0570] The device (30) can be placed in priority during core session times as the speaker response index is higher, and can be placed in priority during international cooperation sessions or multilingual operation sessions as the interpretation linkage index is higher.

[0571] Specifically, the device (30) can reconstruct an event operation scenario based on a speaker response index, an interpretation linkage index, presentation flow continuity, and participant concentration. Specifically, the device (30) can vectorize presentation topic sentences, event purpose sentences, and participant characteristic sentences corresponding to each session using a natural language processing-based sentence embedding method, and then calculate the connection priority between sessions using a cosine similarity analysis method and a time-series-based order optimization method.

[0572] Additionally, the device (30) can prioritize placing speakers with a high speaker response index in key session time slots or event start sections, and prioritize placing interpreters with a high interpretation linkage index in sessions with high national exchange suitability or multilingual sessions.

[0573] The device (30) can rearrange the order of presentations for sessions where the semantic similarity between presentation topics is low and the concentration of participants is low, and can reconstruct the event operation scenario by reducing the time interval between adjacent sessions as the continuity of the presentation flow increases.

[0574] For example, the device (30) can reconfigure event operation scenarios for the eco-friendly energy policy session, global investment cooperation session, and carbon neutrality technology session at the International Energy Industry Forum event.

[0575] The device (30) can be placed in priority in the event start session or core policy session if the speaker response index for a speaker with a high international cooperation purpose linkage rate is above the standard, and can be placed in priority in the international cooperation session if the interpretation linkage index for an interpreter with a high global investment cooperation session and national cooperation keyword linkage rate is above the standard.

[0576] Additionally, the device (30) can rearrange sessions with high semantic similarity between presentation topics into adjacent presentation sequences, and can reconfigure the event operation scenario into a presentation flow centered on a specific participant if the concentration rate of sessions of interest by participant is high.

[0577] The device (30) can set the time interval between presentation sequences shorter as the presentation flow continuity is higher, and can set the operation rate of international cooperation sessions higher as the country exchange suitability is higher.

[0578] The device (30) can reconstruct an event operation scenario based on a speaker response index, an interpretation linkage index, presentation flow continuity, and participant concentration. Specifically, the device (30) can vectorize presentation topic sentences, event purpose sentences, and participant characteristic sentences corresponding to each session using a natural language processing-based sentence embedding method, and then calculate the priority of connections between sessions using a cosine similarity analysis method and a time-series-based order optimization method.

[0579] Additionally, the device (30) can prioritize placing speakers with a high speaker response index in key session time slots or event start sections, and prioritize placing interpreters with a high interpretation linkage index in sessions with high national exchange suitability or multilingual sessions.

[0580] The device (30) can rearrange the order of presentations for sessions where the semantic similarity between presentation topics is low and the concentration of participants is low, and can reconstruct the event operation scenario by reducing the time interval between adjacent sessions as the continuity of the presentation flow increases.

[0581] In step S706, the device (30) can calculate an event venue suitability index by analyzing spatial concentration, movement dispersion, and operational conflict based on event venue information, participant information, event operation information, and a reconfigured event operation scenario.

[0582] Spatial concentration may refer to the degree to which participants and session operations are concentrated in a specific event space or at a specific time, and may include, for example, information on the concentration ratio of specific session spaces, information on the density ratio of participants at a specific time, and information on the operational usage ratio by space, but is not limited thereto.

[0583] Movement dispersion may refer to the degree to which the movement paths of participants and session movement flows are dispersed, and may include, for example, information on the dispersion of movement distances between sessions, information on the dispersion of movement paths by participant, and information on the dispersion of movement frequency between spaces, but is not limited thereto.

[0584] Operational conflict refers to the degree to which operational efficiency is degraded due to the overlap of multiple session operations or space operations in the same time period or space. For example, it may include, but is not limited to, information on session time overlap ratios, space usage conflict ratios, and duplicate placement ratios of participants.

[0585] The device (30) can calculate spatial concentration, movement dispersion, and operational conflict by comparing and analyzing spatial location information and capacity information included in event venue information with session placement order and participant operation order included in the reconstructed event operation scenario.

[0586] For example, the device (30) can calculate a higher spatial concentration as the proportion of participants placed in the same space during a specific time period increases, and can calculate a higher movement dispersion as the movement paths between sessions are dispersed into various spaces.

[0587] Additionally, the device (30) can calculate a higher operational conflict rate as the same participant is duplicated across multiple sessions at the same time, and can calculate a higher venue suitability index as the spatial concentration is lower, the movement dispersion is higher, and the operational conflict rate is lower.

[0588] For example, the device (30) can calculate a venue suitability index for an international energy industry forum event. The device (30) can analyze the density of participants at specific times based on participant placement information for international cooperation sessions, eco-friendly energy technology sessions, and global investment sessions, and can calculate a high spatial concentration if the ratio of overseas participants and policy officials concentrated in a specific exhibition space is above a standard.

[0589] Additionally, the device (30) can calculate the degree of movement dispersion by analyzing the distance traveled between sessions, the connection structure between spaces, and the movement path of the participants using a graph-based movement path analysis method, and can calculate a higher degree of movement dispersion as the movement path of the participants is evenly distributed across multiple spaces.

[0590] The device (30) can calculate the operational conflict level based on session operation time information and duplicate participation information of participants, and can calculate a higher operational conflict level as the same participant is duplicated in multiple sessions at the same time.

[0591] Additionally, the device (30) can calculate a high venue suitability index when the spatial concentration is low, the movement dispersion is high, and the operational conflict is low. For online events, the venue suitability index can be calculated based on the online access concentration ratio, the session access dispersion ratio, and the simultaneous access conflict ratio. For hybrid events, the venue suitability index can be calculated by independently analyzing the on-site space operation information and the online access operation information.

[0592] In step S707, the device (30) can generate spatial configuration information including an event purpose response area, a session operation area, and a participant movement area based on the venue suitability index and reflect it in the event planning information.

[0593] The event purpose corresponding area may refer to area information where sessions or exhibition spaces corresponding to event purpose information are arranged, and may include, for example, information on spaces corresponding to international cooperation, information on spaces corresponding to industrial policy, and information on spaces corresponding to investment linkage, but is not limited thereto.

[0594] The session operation area may refer to spatial layout information where presentation sessions, panel discussion sessions, and participant exchange sessions are conducted, and may include, for example, presentation session layout information, panel operation space information, and networking operation space information, but is not limited thereto.

[0595] The participant movement area may refer to movement path information generated based on the movement flow of the participant and connection paths between spaces, and may include, for example, participant movement path information, connection path information between spaces, and participant distribution movement information, but is not limited thereto.

[0596] The device (30) can generate a graph-based spatial analysis model based on spatial coordinate information, capacity information, and spatial connection information included in the event venue information, and can determine the placement priority of each session based on event operation information and a reconfigured event operation scenario.

[0597] Additionally, the device (30) can generate space configuration information based on space concentration, movement dispersion, and operation conflict included in the venue suitability index, and the lower the space concentration, the higher the movement dispersion, and the lower the operation conflict, the higher the placement suitability of the event purpose response area and session operation area can be calculated.

[0598] For example, the device (30) can generate space configuration information including an international cooperation session space, an eco-friendly energy technology exhibition space, and a global investment networking space at an international energy industry forum event.

[0599] The device (30) can prioritize placing international cooperation response spaces in areas adjacent to the entrance of the venue or key movement paths when the participation rate of overseas government agencies is high, and for sessions with a high rate of industrial sector keyword linkage, it can be clustered into the same industrial sector session operation area.

[0600] Additionally, the device (30) can analyze the movement path of the participants using a graph-based movement path analysis method and, if the concentration ratio of participants' movement is higher than a standard, can generate an additional detour movement path, and if the rate of conflict between sessions in the same time period is high, it can reduce the degree of conflict between sessions by adjusting the distance between the session operation areas.

[0601] The device (30) can set the spatial arrangement priority of the event purpose response area higher as the event purpose response ratio is higher, and can create a wider connection range of the participant movement area as the participant movement dispersion ratio is higher.

[0602] Additionally, the device (30) can generate space configuration information including virtual session placement information, online access movement flow information, and real-time participation screen configuration information for online events, and for hybrid events, can independently generate on-site space configuration information and online space configuration information and reflect them in event planning information.

[0603] That is, the device (30) can calculate a session linkage index, a speaker response index, an interpretation linkage index, and a venue suitability index based on event planning strategies and event planning data, and generate session groups, panel composition, event operation scenarios, and space configuration information based on this and reflect them in the event planning information.

[0604] In addition, the device (30) can dynamically reconfigure session groups and panel compositions by comprehensively analyzing event purpose information, country type information, industry sector information and target participant information, so it can generate an operation strategy that reflects the suitability of the event purpose and the connectivity of national exchanges, unlike a simple schedule arrangement method.

[0605] The device (30) can reorganize the presentation order and interpretation placement order based on the speaker response index and interpretation linkage index, thereby improving the continuity of the presentation flow and language response efficiency even in an international event environment.

[0606] In addition, the device (30) can calculate a venue suitability index based on spatial concentration, movement dispersion, and operational collision, and generate space configuration information, thereby simultaneously improving participant movement efficiency, session operation stability, and event space utilization efficiency.

[0607] FIG. 8 is a flowchart for explaining the process of providing event planning information configured according to one embodiment to a user's terminal (10).

[0608] Referring to FIG. 8, first, in step S801, the device (30) can extract the agency purpose keywords, policy linkage keywords, and evaluation criteria keywords of the ordering agency by analyzing the bid announcement information, ordering agency information, event purpose information, and industry sector information included in the event planning data.

[0609] Institutional purpose keywords may refer to policy directions, event operational goals, or industry linkage objectives that the ordering agency intends to achieve as a priority during the event planning process. For example, they may include, but are not limited to, keywords regarding information on strengthening international cooperation, information on expanding industry promotion, information on revitalizing investment attraction, and information on expanding the target audience.

[0610] Policy-linked keywords may refer to information regarding the purpose of an event linked to government policies, institutional operational policies, or industrial support policies. For example, they may include, but are not limited to, keywords regarding carbon neutrality policy information, digital transformation policy information, national industrial development policy information, and international exchange policy information.

[0611] Evaluation criterion keywords may refer to evaluation element information that the ordering agency considers important during the event planning information evaluation process, and may include, for example, keywords regarding operational stability evaluation information, participant satisfaction evaluation information, international cooperation performance evaluation information, and industry linkage effect evaluation information, but are not limited thereto.

[0612] The device (30) can vectorize the bid announcement sentence, the ordering agency introduction sentence, the event purpose description sentence, and the industry field description sentence using a natural language processing-based sentence embedding method, and then extract agency purpose keywords, policy linkage keywords, and evaluation criteria keywords using a morphological analysis method, a keyword frequency analysis method, and a sentence similarity analysis method.

[0613] For example, the device (30) can calculate a higher priority for policy-linked keywords as the frequency of policy-related keyword appearance increases, and can calculate a higher importance for evaluation criteria keywords as the frequency of repeated evaluation item appearance increases.

[0614] For example, the device (30) can analyze bid announcement information for international energy industry exhibition events to extract institutional purpose keywords, policy linkage keywords and evaluation criteria keywords.

[0615] The device (30) can extract information on strengthening international cooperation and information on expanding industrial investment as institutional purpose keywords based on the sentences “expansion of international cooperation,” “fostering eco-friendly industries,” and “activation of global investment” included in the bid announcement sentence.

[0616] Additionally, the device (30) can extract carbon neutrality policy information and digital industry transition policy information as policy linkage keywords by analyzing semantic similarity with government policy sentences, and can extract evaluation criteria keywords based on the sentences “participant satisfaction,” “operational stability,” and “industry linkage effect” included in the evaluation item sentences.

[0617] The device (30) can calculate the importance of policy-linked keywords as the similarity of policy-related sentences is higher, and can calculate the priority of evaluation criteria keywords as the frequency of repeated occurrence of evaluation items is higher.

[0618] In step S802, the device (30) can generate institutional intent information including the ordering agency's event promotion purpose, key evaluation items, and priority consideration strategy based on institutional purpose keywords, policy linkage keywords, and evaluation criteria keywords.

[0619] Information regarding institutional intent may refer to structured information regarding policy directions, evaluation directions, and operational strategy directions that the contracting agency intends to achieve as a priority during the event planning process. For example, this may include, but is not limited to, information aimed at expanding international cooperation, information aimed at strengthening industrial promotion, information on priority strategies for policy response, and evaluation information focused on operational stability.

[0620] The purpose of the event may refer to information regarding the core operational objectives that the contracting agency intends to achieve through the event, and key evaluation items may refer to information regarding evaluation criteria that the contracting agency considers important during the evaluation process of event planning information.

[0621] The priority consideration strategy may refer to information on operational directions or industry linkage directions that are applied first during the event operation process.

[0622] The device (30) can use a natural language processing-based sentence embedding method and a keyword linkage graph analysis method to analyze the semantic association between the institution purpose keyword, the policy linkage keyword, and the evaluation criteria keyword, and can generate institution intent information based on the frequency of connection between keywords and sentence similarity.

[0623] For example, the device (30) can calculate the importance of the event promotion purpose as high as the semantic similarity between the policy linkage keyword and the event purpose sentence is high, and can calculate the priority of the key evaluation item as high as the repetition rate of the evaluation criterion keyword is high.

[0624] Specifically, the device (30) can convert the connection relationships between the institution purpose keyword, policy linkage keyword, and evaluation criterion keyword into a graph data structure to generate institution intent information.

[0625] Specifically, the device (30) can calculate the connection strength between keywords based on the frequency of co-occurrence of each keyword, semantic similarity between sentences, and the linkage ratio of past successful bid event planning information, and can cluster keywords with a connection strength greater than or equal to a standard into the same purpose group.

[0626] Additionally, the device (30) can classify clustered keyword groups into policy response-centered groups, industry promotion-centered groups, international cooperation-centered groups, and operational stability-centered groups by cross-comparing industry sector information, country type information, and event purpose information.

[0627] For example, the device (30) can generate integrated information for the purpose of fostering an eco-friendly industry based on international cooperation when the keywords “carbon neutrality,” “international cooperation,” and “overseas investment” appear repeatedly in the same sentence or the same evaluation item, and can generate operational stability-centered evaluation strategy information when the linkage rate of the keywords “participant satisfaction,” “operational stability,” and “real-time response” is high.

[0628] The device (30) can calculate a higher priority for institutional intention information as the connection strength between keywords increases, and can set a higher reflection ratio for priority consideration strategies as the similarity with past successful bid event planning information increases.

[0629] For example, the device (30) can generate information on the institution's intent by analyzing information on the bid announcement and event purpose for the International Energy Industry Exhibition. The device (30) can generate information on the purpose of expanding international cooperation and information on the purpose of promoting the eco-friendly industry for the purpose of promoting the event based on keywords such as “fostering eco-friendly industries,” “strengthening international cooperation,” and “expanding global investment.”

[0630] Additionally, the device (30) can generate operational stability-centered evaluation information and policy response-centered evaluation information as key evaluation items based on the keywords “participant satisfaction”, “operational stability”, and “policy linkage effect”.

[0631] The device (30) can generate policy response priority strategy information as a priority consideration strategy when the semantic similarity between industrial policy keywords and government policy sentences is greater than or equal to a standard, and can calculate a higher priority for international exchange-centered operation strategies as the frequency of appearance of international cooperation keywords increases.

[0632] In step S803, the device (30) can analyze the degree of correspondence for each evaluation item by comparing the event proposal, event operation scenario, design configuration information, and event execution plan information included in the institution's intention information and event planning information.

[0633] Responsiveness by evaluation item may refer to quantified information on how appropriately event planning information responds to evaluation criteria deemed important by the ordering agency. For example, it may include, but is not limited to, information on policy responsiveness, operational stability responsiveness, international cooperation responsiveness, and participant satisfaction responsiveness.

[0634] An event proposal may refer to explanatory information regarding the purpose and operational direction of the event, and an event operation scenario may refer to information regarding the session order, presentation structure, and interpretation operation flow.

[0635] Design configuration information may refer to exhibition space design, visual content configuration, and user interface layout information, and event execution plan information may refer to event schedule, personnel management, and risk response plan information.

[0636] The device (30) can vectorize the event promotion purpose sentence, evaluation criteria sentence, and priority consideration strategy sentence included in the institution's intention information using a natural language processing-based sentence embedding method, and then analyze the cosine similarity with the event proposal sentence, event operation scenario sentence, design composition description sentence, and event execution plan sentence included in the event planning information to calculate the correspondence for each evaluation item.

[0637] For example, the device (30) can calculate a higher policy response suitability as the policy linkage keyword matching ratio is higher, and can calculate a higher operational stability response as the operational stability related sentence similarity is higher.

[0638] The device (30) can analyze the degree of responsiveness for each evaluation item by comparing the organization's intention information and event planning information regarding the International Energy Industry Exhibition.

[0639] The device (30) can analyze the semantic similarity between the sentences “strengthening international cooperation,” “fostering eco-friendly industries,” and “improving participant satisfaction” included in the institution’s intention information, and the sentences of the event proposal and event operation scenario, and can calculate a high degree of international cooperation response when international cooperation session operation information and overseas participating institution response information are included.

[0640] Additionally, the device (30) can calculate the policy response suitability by analyzing the correlation between the eco-friendly exhibition design information and digital guidance content information included in the design configuration information and the policy linkage keywords, and can calculate the operational stability response degree by analyzing the matching ratio between the safety operation plan information and real-time response operation information included in the event execution plan information and the evaluation criteria keywords.

[0641] The device (30) can calculate a higher degree of correspondence for each evaluation item as the semantic similarity between the evaluation criteria keyword and the sentence included in the event planning information increases, and can calculate a higher degree of suitability for the institution's intention as the reflection ratio of the priority consideration strategy increases.

[0642] In addition, the device (30) can further analyze online connection stability information and digital participation operation information for online events, and for hybrid events, it can independently compare and analyze on-site operation response information and online operation response information to calculate the response level for each evaluation item.

[0643] In step S804, the device (30) can calculate a proposal evaluation index including event purpose suitability, policy linkage suitability, industry sector suitability, operation strategy suitability, and design strategy suitability based on the degree of correspondence for each evaluation item.

[0644] Suitability for event purposes may refer to the extent to which event planning information aligns with the ordering agency's objectives for promoting the event, and may include, for example, information reflecting the objectives of international cooperation, industry promotion, and participant influx, but is not limited thereto.

[0645] Policy alignment suitability may refer to the extent to which event planning information is aligned with government policies, institutional policies, or industry policies, while industry sector suitability may refer to the extent to which event planning information reflects the characteristics and industry issues of the target industry sector.

[0646] Operational strategy fit may refer to the degree of responsiveness regarding event operational stability, participant management efficiency, and session operation continuity, while design strategy fit may refer to how well the exhibition design, visual content, and user experience composition align with the event objectives.

[0647] The proposal evaluation index can refer to comprehensively quantified information regarding how well the event planning information aligns with the ordering agency's event objectives, policy direction, industry characteristics, operational strategy, and design strategy.

[0648] The device (30) can calculate a proposed evaluation index by inputting the policy response, international cooperation response, operational stability response, and design response included in the response for each evaluation item into a weight-based evaluation model.

[0649] For example, the device (30) can calculate a higher suitability for the event purpose as the similarity of sentences related to the event purpose increases, and can calculate a higher suitability for the policy linkage as the ratio of matching policy-linked keywords increases. Additionally, it can calculate a higher suitability for the industry sector as the ratio of industry sector keywords increases, and can calculate a higher suitability for the operation strategy as the ratio of conflicting sessions in operation decreases.

[0650] For example, the device (30) can calculate a proposal evaluation index for information on planning an international energy industry exhibition. The device (30) can calculate the suitability of the event purpose by analyzing the semantic similarity between the sentences “expansion of international cooperation,” “fostering eco-friendly industries,” and “attracting global investment” included in the event proposal and the information on the institution's intention.

[0651] Additionally, the device (30) can calculate policy linkage suitability by analyzing the linkage ratio between carbon neutrality policy keywords and digital industry policy keywords and design configuration information and event operation scenarios, and can calculate industrial sector suitability based on the eco-friendly industry session configuration ratio and industrial technology exhibition configuration ratio.

[0652] The device (30) can calculate the operational strategy suitability based on the participant movement collision rate, session operation continuity rate and interpretation operation stability rate, and can calculate the design strategy suitability based on the visual content consistency rate and event purpose-based design reflection rate.

[0653] The device (30) can calculate a higher degree of suitability for the event purpose as the similarity of the event purpose sentence increases, and can calculate a higher degree of suitability for the policy linkage as the appearance rate of policy linkage keywords increases.

[0654] In step S805, if the proposal evaluation index is less than a preset standard, the device (30) can extract planning elements included in the event planning information whose evaluation contribution is less than a preset standard. At this time, the preset standard may be set differently depending on the embodiment.

[0655] Evaluation contribution may refer to information that quantifies the extent to which a specific planning element contributes to the improvement of the proposal evaluation index. For example, it may include, but is not limited to, information on contributions to policy linkage, industry sector reflection, operational strategy reflection, and design strategy reflection.

[0656] Planning elements may refer to event proposal components, event operation scenario components, design components, and event execution plan components, and may include, for example, session configuration information, presentation order information, space design information, participant management information, and interpretation management information, but are not limited thereto.

[0657] The device (30) can calculate the evaluation contribution by analyzing the impact of each planning element on the event purpose suitability, policy linkage suitability, industry sector suitability, operation strategy suitability, and design strategy suitability included in the proposal evaluation index.

[0658] Specifically, the device (30) can calculate the evaluation contribution by comparing the amount of change between the proposal evaluation index before the removal of a planning element and the proposal evaluation index after the removal of a specific planning element, and the smaller the decrease in the proposal evaluation index, the lower the evaluation contribution of the planning element can be calculated.

[0659] Additionally, the device (30) can calculate a lower contribution to policy linkage as the ratio of policy linkage keywords to the ratio of policy linkage keywords to the ratio of industry sector

[0660] For example, the device (30) can extract planning elements with low evaluation contribution when the proposal evaluation index for international energy industry exhibition event planning information is below the standard.

[0661] The device (30) can analyze the impact of specific session configuration information included in the event operation scenario on policy linkage suitability and industry sector suitability, and if the change in the proposal evaluation index after removing the session is below the standard, it can be determined as a planning element with low evaluation contribution.

[0662] Additionally, the device (30) can analyze the semantic similarity between the visual content information included in the design configuration information and the policy linkage keywords, and can calculate the policy linkage contribution as low if the reflection ratio of the policy linkage keywords is below the standard.

[0663] The device (30) can calculate a lower contribution to reflecting the event purpose as the semantic similarity between the participant operation information and the event purpose information decreases, and can calculate a lower contribution to reflecting the operation strategy as the session operation conflict ratio increases.

[0664] In step S806, the device (30) can generate strategy correction keywords and evaluation supplement keywords corresponding to the planning elements based on the extracted planning elements and institutional intention information.

[0665] Strategic adjustment keywords may refer to strategic direction information added or modified to enhance the suitability of event objectives, policy alignment, or industry sector suitability of event planning information. For example, they may include, but are not limited to, keywords regarding strategic information on strengthening international cooperation, strategic information on expanding policy alignment, strategic information on strengthening participant inflow, and strategic information on strengthening industry promotion.

[0666] Evaluation supplementary keywords may refer to operational or configuration direction information added to improve responsiveness to evaluation criteria items, and may include, for example, keywords regarding operational stability supplementary information, design consistency supplementary information, participant satisfaction supplementary information, and real-time response operation supplementary information, but are not limited thereto.

[0667] The device (30) can generate strategy correction keywords and evaluation supplement keywords by vectorizing the session configuration sentences, event operation sentences, design configuration sentences, and event execution plan sentences included in the extracted planning elements using a natural language processing-based sentence embedding method, and then analyzing the semantic similarity with the event promotion purpose sentences, priority consideration strategy sentences, and evaluation criteria sentences included in the institution's intention information.

[0668] For example, the device (30) can calculate a higher priority for policy linkage expansion strategy keywords as the reflection rate of policy linkage keywords is lower, and can calculate a higher importance for operational stability supplement keywords as the responsiveness to operational stability is lower. Additionally, the device (30) can calculate a higher generation rate for industry promotion strengthening strategy keywords as the industry sector linkage rate is lower.

[0669] As an example, the device (30) can generate strategy correction keywords and evaluation supplement keywords based on session operation information and design configuration information with low evaluation contribution from international energy industry exhibition event planning information.

[0670] The device (30) can generate the keywords “expansion of international cooperation,” “linkage to global investment,” and “strengthening of government policy response” as strategic correction keywords when the ratio of international cooperation sessions in the event operation scenario is low and the similarity of policy-linked sentences is below the standard.

[0671] In addition, the device (30) can generate the keywords “enhanced eco-friendly design,” “expansion of digital exhibition content,” and “enhanced participant interaction” as evaluation supplementary keywords when the ratio of eco-friendly industrial visual content reflected in the design composition information is below the standard.

[0672] The device (30) can calculate the importance of policy linkage strategy correction keywords as the similarity of policy linkage sentences is lower, and can calculate the priority of participant experience complement keywords as the participant satisfaction response rate is lower.

[0673] In step S807, the device (30) can reconstruct the event planning strategy and event planning information by reflecting the strategy correction keyword and the evaluation supplement keyword.

[0674] Reorganizing an event planning strategy may refer to the process of improving suitability to the client's institutional intent by modifying or adding session composition information, operational strategy information, design strategy information, and participant operation strategy information included in the existing event planning strategy.

[0675] In addition, the reorganization of event planning information may refer to the process of improving the proposal evaluation index by modifying some or all of the event proposal, event operation scenario, design configuration information, and event execution plan information.

[0676] The device (30) can map strategy correction keywords and evaluation supplement keywords to strategy sentences, session operation sentences, and design composition sentences included in the event planning strategy, and can determine the priority order of reflection based on semantic similarity between keywords and the history of reflection of past successful bid event planning information.

[0677] Specifically, the device (30) can increase the ratio of policy response sessions or adjust the priority of international cooperation session placement to a higher level when a policy linkage expansion strategy keyword is generated, and can rearrange participant movement path information and interpretation operation order when an operational stability supplement keyword is generated.

[0678] Additionally, the device (30) can set the reflection ratio of the corresponding strategy element higher as the increase in the proposal evaluation index after reflecting the strategy correction keyword increases, and can set the priority application order of the corresponding supplementary element higher as the increase in the corresponding evaluation item-specific response rate after reflecting the evaluation supplementary keyword increases.

[0679] As an example, the device (30) can reorganize event planning strategies and event planning information by reflecting the keywords “expansion of international cooperation,” “strengthening of eco-friendly design,” and “improvement of operational stability” in the event planning information of the International Energy Industry Exhibition. The device (30) can increase the proportion of sessions with overseas institutions participating by reflecting the keyword “expansion of international cooperation” and relocate global investment cooperation sessions to core operating time slots.

[0680] Additionally, the device (30) can add eco-friendly industrial visual content and digital experiential content to the exhibition space design configuration by reflecting keywords for enhancing eco-friendly design, and can modify the event operation scenario to disperse and redistribute participant movement paths and reduce the session operation conflict rate by reflecting keywords for supplementing operational stability.

[0681] The device (30) can calculate a higher policy linkage suitability as the reflection ratio of policy linkage keywords increases, and can calculate a higher operation strategy suitability as the participant movement conflict ratio decreases.

[0682] In step S808, the device (30) recalculates a proposal evaluation index for the reconstructed event planning information, and if the proposal evaluation index is greater than or equal to a preset standard, the event planning information may be determined as the final event planning information. At this time, the preset standard may be set differently depending on the embodiment.

[0683] According to one embodiment, the device (30) can recalculate the proposal evaluation index by vectorizing the reconstructed event proposal sentence, event operation scenario sentence, design configuration sentence, and event execution plan sentence using a natural language processing-based sentence embedding method, and then reanalyzing the cosine similarity with the event promotion purpose sentence, policy linkage sentence, and evaluation criteria sentence included in the institution intent information.

[0684] Additionally, the device (30) can analyze the correction effect of event planning information by comparing the amount of change between the proposal evaluation index before reconstruction and the proposal evaluation index after reconstruction, and can calculate a higher policy linkage suitability as the ratio of policy linkage keywords reflected increases.

[0685] The device (30) can calculate a higher operational strategy suitability as the session operation conflict ratio is lower, and can calculate a higher participant operational suitability as the participant movement dispersion ratio is higher.

[0686] Additionally, the device (30) can determine the event planning information as the final event planning information if the proposal evaluation index is above a preset standard, and if the proposal evaluation index is below the standard, it can repeat the process of reconstructing the event planning information by generating additional strategy correction keywords and evaluation supplement keywords.

[0687] In step S809, the device (30) can provide the determined final event planning information to the user's terminal (10).

[0688] Final event planning information may refer to event planning information in a final confirmed form that includes event proposals, event operation scenarios, design configuration information, event execution plan information, and proposal evaluation index information; for example, it may include session operation plan information, participant operation plan information, space configuration information, interpretation operation plan information, and policy linkage strategy information, but is not limited thereto.

[0689] The device (30) can convert the event proposal sentences, event operation scenario sentences, design composition image information, and event execution plan information included in the final event planning information into a user interface display format and provide them to the user's terminal (10).

[0690] Specifically, the device (30) can convert final event planning information into a PDF format, presentation format, web-based dashboard format, or editable collaborative document format using a document creation module, a visualization module, and a network transmission module, and can automatically change the output format based on user permission information and terminal environment information.

[0691] Additionally, the device (30) can set the priority display ratio of core strategy information higher as the proposal evaluation index is higher, and can set the summary information-centered display ratio higher as the screen size of the user's terminal (10) is smaller.

[0692] As an example, the device (30) can provide final event planning information for an international energy industry exhibition to a user's terminal (10). The device (30) can generate final event planning information by integrating international cooperation strategy information included in the event proposal, session sequence information included in the event operation scenario, exhibition space layout image information included in the design configuration information, and participant operation plan information included in the event execution plan information.

[0693] Additionally, the device (30) may provide a mobile-optimized screen that prioritizes displaying session schedule information and key strategy information when the user's terminal (10) is a mobile terminal, and may provide a detailed screen that includes spatial configuration information, design configuration image information, and evaluation response analysis information when the user's terminal (10) is a desktop terminal.

[0694] The device (30) can prioritize displaying information related to policy response as the reflection rate of policy linkage strategies increases, and can highlight information on the movement paths of participants and information on preventing operational conflicts as the complexity of participant operations increases.

[0695] That is, the device (30) can generate agency intent information by analyzing bid announcement information, ordering agency information, event purpose information, and industry sector information included in the event planning data, and generate strategy correction keywords and evaluation supplement keywords based on the degree of correspondence and proposal evaluation index for each evaluation item of the event planning information, reconstruct the event planning strategy and event planning information, and then provide the final event planning information to the user's terminal (10).

[0696] In addition, the device (30) can generate institutional intent information based on the ordering agency's institutional purpose keywords, policy linkage keywords, and evaluation criteria keywords, and can calculate the correspondence for each evaluation item by analyzing the semantic correlation between the event planning information and the event proposal, event operation scenario, design composition information, and event execution plan information. Therefore, unlike the method of generating simple template-based event planning information, it is possible to configure customized event planning information that reflects the actual evaluation direction and policy objectives of the ordering agency.

[0697] The device (30) can automatically extract planning elements with low evaluation contribution and generate strategy correction keywords and evaluation supplement keywords to repeatedly reconstruct event planning strategies and event planning information, thereby gradually improving the policy responsiveness, industry linkage, operational stability, and design strategy suitability of event planning information.

[0698] In addition, the device (30) can recalculate the proposal evaluation index for the reconstructed event planning information and determine it as the final event planning information if it is above the standard, thereby improving the accuracy of response to the ordering agency's evaluation criteria and proposal competitiveness, and simultaneously ensuring the automation efficiency of the event planning process and consistency of planning quality.

[0699] FIG. 9 is an example diagram of the configuration of a device (30) according to one embodiment.

[0700] A device (30) according to one embodiment includes a processor (31) and a memory (32). A device (30) according to one embodiment may be the server or terminal described above. The processor (31) may include at least one device described through FIGS. 1 to 9 or perform at least one method described through FIGS. 1 to 9. The memory (32) may store information related to the method described above or store a program in which the method described above is implemented. The memory (32) may be volatile memory or non-volatile memory.

[0701] The processor (31) can execute a program and control the device (30). The code of the program executed by the processor (31) can be stored in memory (32). The device (30) can be connected to an external device (e.g., a personal computer or a network) through an input / output device (not shown in the drawing) and exchange data.

[0702] The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0703] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0704] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0705] Although the embodiments have been described above with reference to the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, suitable results may be achieved even if the described techniques are performed in a different order than described, and / or if the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0706] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims set forth below.

Claims

Claim 1 A method for providing an AI model agent-based planning and design automation solution for exhibition and convention event planning, performed by a device, comprising: a step of collecting event planning data including bid announcement information, event purpose information, ordering agency information, industry sector information, target country information, and past event execution information related to the exhibition and convention event; a step of inputting the event planning data into an artificial intelligence model agent trained to generate planning elements corresponding to the event purpose by analyzing the correlation between the information included in the event planning data, and deriving planning elements including event theme information, session configuration information, speaker configuration information, panel configuration information, design concept information, space configuration information, target participant configuration information, interpretation configuration information, and event operation flow information of the exhibition and convention event using the artificial intelligence model agent; a step of generating an event planning strategy for the exhibition and convention event based on the derived planning elements; a step of configuring event planning information including an event proposal, event operation scenario, design configuration information, and event execution plan information using the generated event planning strategy; and a step of providing the configured event planning information to a user's terminal. go, The step of generating the above event planning strategy comprises: a step of obtaining information on the ordering agency, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information from the collected event planning data during a preset event analysis period; a step of calculating an event strategy index by identifying keywords of institutional interest, industry issue indicators, national cooperation characteristics, institutional response characteristics, national exchange characteristics, event purpose characteristics, industry linkage characteristics, and successful bid strategy patterns from the above ordering agency information, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information; a step of determining the scope of the basic planning design narrowly as it is determined that the direction of the event purpose and strategic priority are clearer when the event strategy index is high, and determining the scope of the basic planning design wide as it is determined that the direction of the event purpose or strategic priority is unclear when the event strategy index is low; and a step of determining that specific information or strategic elements from the above ordering agency information, industry trend information, national cooperation information, agency type information, country type information, event purpose information, industry sector information, and successful bid pattern information have a frequency above a standard frequency within the entire event planning data. A step of calculating an anomaly rate indicating the degree of repetition or deviation relative to the average distribution, and extracting, respectively, an institution requirement pattern, an industry issue pattern, an institution type pattern, a country type pattern, an event purpose pattern, and a bidding strategy pattern in which the said anomaly rate satisfies a preset standard; a step of creating an institution response design area by applying the said basic planning design scope to an item corresponding to the said institution requirement pattern as a reference point; a step of creating an industry response design area by applying the said basic planning design scope to an item corresponding to the said industry issue pattern as a reference point; a step of creating an institution type response design area by applying the said basic planning design scope to an item corresponding to the said institution type pattern as a reference point.The method comprises: a step of generating a country type corresponding design area by applying the basic planning design scope to an item corresponding to the above country type pattern as a reference point; a step of generating an event purpose corresponding design area by applying the basic planning design scope to an item corresponding to the above event purpose pattern as a reference point; a step of generating strategy keywords by inputting institution characteristic data included in the institution corresponding design area, industry characteristic data included in the industry corresponding design area, institution type characteristic data included in the institution type corresponding design area, country type characteristic data included in the above country type corresponding design area, and event purpose characteristic data included in the above event purpose corresponding design area into an artificial intelligence model agent trained to generate event planning strategies; and a step of generating an event planning strategy based on the strategy keywords, wherein the step of generating strategy keywords includes: an operation of comparing a first ratio, which is the ratio of data corresponding to the institution requirement pattern among the institution characteristic data, with a second ratio, which is the ratio of data corresponding to the industry issue pattern among the industry characteristic data; an operation of comparing a third ratio, which is the ratio of data corresponding to the institution type pattern among the institution type characteristic data, a fourth ratio, which is the ratio of data corresponding to the country type pattern among the country type characteristic data, and a fifth ratio, which is the ratio of data corresponding to the event purpose pattern among the event purpose characteristic data; wherein the first ratio is the If the ratio is greater than or equal to the second ratio, generate additional strategic keywords containing policy linkage information to enhance the effectiveness of the ordering agency's response, and if the difference between the first ratio and the second ratio is greater than or equal to a preset standard, increase the number of generated additional strategic keywords; if the first ratio is less than the second ratio, generate additional strategic keywords containing industry trend information to enhance the effectiveness of reflecting industry issues, andA method for providing an AI model agent-based planning design automation solution for exhibition and convention event planning, comprising: an operation to increase the number of additional strategy keywords generated when the difference between the first ratio and the second ratio is greater than or equal to a preset standard; and an operation to generate additional strategy keywords to increase the suitability of the event purpose and the suitability of the winning bid strategy based on characteristic information corresponding to the highest ratio among the third ratio, the fourth ratio, and the fifth ratio; wherein the event planning strategy is characterized by applying weights to each corresponding design area that adjust the reflection ratio of strategy elements or the degree of expansion of the strategy range reflected in the institution-response design area, the industry-response design area, the institution-type-response design area, the country-type-response design area, and the event purpose-response design area, based on changes in the event strategy index calculated during the process of generating event planning information for the exhibition and convention event. Claim 2 delete Claim 3 In claim 1, the step of configuring the event planning information comprises: a step of obtaining ordering agency information, event purpose information, industry sector information, and event operation information during a preset event planning period from the collected event planning data; a step of obtaining event venue information, target audience information, event schedule information, and design configuration information during the event planning period from the collected event planning data; a step of calculating a planning deviation index by analyzing the current event configuration status, degree of reflection of the event purpose, configuration repeatability, operational concentration, and design variation degree based on the preset event planning standard information and the event venue information, target audience information, event schedule information, and design configuration information; a step of classifying the event planning strategy as a planning deviation strategy if the planning deviation index is greater than or equal to a preset standard, and classifying the event planning strategy as a normal planning strategy if the planning deviation index is less than a preset standard; a step of inputting the event purpose information, industry sector information, and design configuration information included in the planning deviation strategy into an artificial intelligence model agent to classify the planning deviation strategy into a planning correction-capable strategy and a planning reconfiguration-required strategy; and a step of calculating the planning deviation degree for each strategy based on the event planning data corresponding to the normal planning strategy and the planning deviation strategy. Step; if the planning deviation for the planning correction-possible strategy is less than the planning deviation for the planning reconfiguration-required strategy, a step of checking a preset basic planning range according to the planning deviation index; if the planning deviation for the planning correction-possible strategy is greater than or equal to the planning deviation for the planning reconfiguration-required strategy, and the planning deviation for the planning reconfiguration-required strategy at the current point in time has decreased compared to the planning deviation for the planning reconfiguration-required strategy at the previous point in time, a step of determining a planning correction range by applying a reduction weighting factor based on the planning deviation for the planning reconfiguration-required strategy to the basic planning range.A step of determining a planning correction range by applying an increasing weight according to the strategy requiring planning reorganization to the basic planning range when the planning deviation for the above-mentioned planning correction-possible strategy is greater than or equal to the planning deviation for the above-mentioned planning reorganization-required strategy, and the planning deviation for the above-mentioned planning reorganization-required strategy at the current point in time is increased compared to the planning deviation for the above-mentioned planning reorganization-required strategy at the previous point in time; a step of extracting planning correction data within the determined planning correction range based on information collected from the above-mentioned event venue information, participant information, event schedule information, and design configuration information; a step of determining planning adjustment information by analyzing, based on the above-mentioned planning correction data, whether the cause of planning deviation is insufficient reflection of the event purpose, insufficient linkage with the industry sector, imbalance in event operation configuration, or discrepancy in design configuration; a step of determining the planning correction order according to the order of applying the above-mentioned planning correction data first when the difference in planning deviation between the above-mentioned planning correction-possible strategy and the strategy requiring planning reorganization-required strategy is greater than or equal to a preset standard; a step of determining the planning correction order according to the order of applying the new event planning strategy of the above-mentioned planning reorganization-required strategy first when the difference in planning deviation between the above-mentioned planning correction-possible strategy and the strategy requiring planning reorganization-required strategy is less than a preset standard; and the above-mentioned planning correction A method for providing an AI model agent-based planning design automation solution for exhibition and convention event planning, comprising a step of updating event planning information according to the range and planning correction order.

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