388 results about "User participation" patented technology

The embodiment of the invention provides a software development method based on artificial intelligence and related equipment. In the embodiment of the invention, an AI software development method and mode are provided, and a user and a technical design document generation agent cooperate to complete a technical design document of a programming task; and the programming agent autonomously performs task planning based on the technical design document, and autonomously executes the programming task based on the planned execution plan. In at least one of the technical design stage or the task execution stage of the programming task, a man-machine cooperation interface is provided, and the man-machine cooperation interface is used for a user to participate in the software development process for the programming task. Therefore, the software development efficiency and the code quality are greatly improved through division cooperation and man-machine cooperation interaction among the intelligent agents.

The invention provides an intelligent optimized arrangement method for a shield construction site. The method comprises the steps that S1, component parameter modeling is conducted on various components of a shield construction site, a knowledge rule base is established, and a component semantic map is established; s2, spatial modeling of a shield construction site and component matching are carried out; s3, on the basis of parameter modeling and rule modeling, constructing a composite target function fusing multiple types of engineering attributes, and outputting a component arrangement scheme meeting a global optimization target, spatial constraint and engineering logic; s4, setting a man-machine collaborative arrangement interface to support a user to participate in adjustment; and S5, based on the component arrangement scheme and the user feedback behavior, calling an arrangement inference engine fusing a historical sample and a feedback learning mechanism, and optimizing the arrangement strategy again. According to the method, the arrangement efficiency and the space utilization rate are improved, the arrangement requirements of complex and irregular sites can be met, multi-target collaborative optimization and conflict automatic detection are achieved, and the method has the arrangement man-machine collaborative adjustment and strategy self-learning capabilities.

The invention relates to the technical field of psychological assessment, in particular to a psychological state assessment method, system and terminal based on an interactive terminal, and the method comprises the steps: separating voice data and text data of a user into an emotion change sequence; based on the emotion tendency of the emotion change sequence, setting an emotion change quantity, and according to a matching relationship between the emotion change quantity and a dialogue situation, calculating a user response duration; obtaining the participation degree of the user at different moments by obtaining the response frequency corresponding to the response duration of the user; combining the degree of participation, the emotional variation and the emotional change probability into an emotional feature, and deducing an emotional classification and a transition label of the current emotional feature; on the basis of the emotion proportion of each emotion classification, dialogue strategy matching is carried out according to the participation amount of the emotion classification at adjacent moments, and a dialogue strategy is set; and the accuracy and effect of emotion recognition are improved.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

An electronic device for providing a user-participating-type artificial intelligence (AI) training service is proposed. The electronic device may include a user input receiving unit configured to receive, from a user of the service, initial setting user inputs about an initial setting for AI training and to receive an AI training user input for requesting for the AI training. The device may further include a processor configured to provide, through a screen of the electronic device, an initial setting UI (User Interface) receiving the initial setting user inputs and an AI training UI receiving the AI training user input, and a communication unit configured to transmit, to a service providing server, data corresponding to the initial setting user inputs and the AI training user input and to receive, from the service providing server, initial setting data and / or AI training data generated based on the transmitted data.

Techniques are provided herein for providing information during a life cycle of a user's engagement with a product or service. A wireless device is configured to, in response to processing a computer readable artifact after the user has acquired the product or service, transmit a request for first information pertaining to the product or service. A computer is configured to retrieve the first information without regard for the life cycle of the product or service. The computer is further configured to retrieve supplemental information pertaining to the product or service, and provide the first information together with the supplemental information to the wireless device. The supplemental information retrieved varies depending on a current state of the life cycle.

The invention discloses an electric vehicle orderly scheduling method, system and device based on user participation willingness dynamic guidance and a storage medium, and the method comprises the steps: obtaining the initial information of an electric vehicle user and the power grid load information, building a user participation willingness model based on the decision psychology of user participation scheduling and in combination with the initial information, and obtaining a user participation willingness model; the real participation willingness of different types of users in the face of personalized excitation is quantified; and constructing a scheduling model, taking power grid load information and the user participation willingness as model input, setting model constraints according to the initial information, dynamically dividing each EV into resources with different flexibility through a service contract, and matching differentiated constraints and control strategies for the resources. According to the method, the problem that a traditional scheduling strategy neglects the decision-making psychology and participation willingness of the user is solved, a closed loop from user willingness prediction to dynamic regulation of the regulation and control strategy is realized, the user participation degree is guided and utilized, and the stability and economy of a power grid are improved.

A method for identifying a virtual meeting for absent user participation includes identifying, by a calendar application of a first user and based on one or more calendar event criteria, a calendar event that corresponds to a virtual meeting. The first user of the calendar application may be invited to attend the virtual meeting. The method includes causing a calendar application UI to be presented to the first user. The calendar application UI may include a UI element requesting that virtual meeting information be provided to the first user who is unable to attend the virtual meeting. The method includes, in response to a user activation of the UI element, providing a virtual meeting information request of the first user to a virtual meeting application.

The invention discloses a building energy scheduling method and platform based on regional energy carbon management, and relates to the technical field of building energy scheduling. The method comprises the steps of multi-dimensional data acquisition, energy-carbon collaborative optimization, dynamic scheduling execution, block chain energy transaction and community-based energy collaboration. The platform comprises a multi-dimensional data acquisition module, an energy-carbon collaborative optimization module, a dynamic scheduling execution module, a block chain energy transaction module and a community collaborative module, and adopts a cloud edge collaborative architecture and a digital twin system. According to the method, double optimization of economy and carbon targets is realized through a cooperation mechanism of a genetic whale algorithm and an NSGA-II algorithm, an energy and carbon credit closed-loop system is constructed by using a block chain, idle energy storage resources are activated in combination with community cooperation, dynamic mapping and early warning are realized by means of digital twinning, and the method is high in practicability. The problems that in the prior art, economy and carbon targets are difficult to balance, energy transaction trust is lost, the user participation degree is low, and carbon management and control lack perspectiveness are solved.

Correlations between a set of linguistic features identified in an unstructured text recited in a source language and a set of user engagement analytic parameters may be measured by a machine learning model selected based on a set of performance metrics from a set of machine learning models trained by a set of supervised machine learning algorithms on (i) a set of unstructured texts recited in the source language and containing the set of linguistic features and (ii) the set of user engagement analytic parameters measured for the set of unstructured texts. The machine learning model grades the unstructured text recited in the source language to determine whether the unstructured text recited in the source language should be (1) edited in the source language and then translated into the target language or (2) translated from the source language to the target language as is.

A dynamic conversation interface system includes a plurality of instances of a large language model (LLM) engine, each instance being configured according to a respective set of system directives. An agent manager engine instantiates and configures the instances of the LLM engine such that a first LLM engine instance is configured according to a first set of system directives, and a second LLM engine instance is configured according to a second set of system directives that is different from the first set. The first LLM engine instance has a different functional specialization from the second LLM engine instance, and the two instances engage in a same conversation session with a user, using the same language dialect, to perform different specializations within that conversation session.

In an interactive media system, for example, in a video game or extended reality (XR) environment, interactive media event information may be received. An interactive media satisfaction value may be determined based on one or more interactive media events received. For example, the event may be scoring a point by the user. When the interactive media satisfaction value is determined to be high, supplemental content with more upbeat themes may be selected for display in the interactive media user interface, while supplemental content with more negative themes, or more comfort-oriented or escapist themes may be selected when the satisfaction value is low. A user engagement metric may also be determined and used for timing, locating, and selecting a mode for presenting the supplemental content.

The invention discloses an incentive differentiation configuration and promotion support system based on user hierarchies, and relates to the technical field of big data and intelligent promotion, and the system comprises a multi-dimensional user data collection module which collects various types of user data and carries out desensitization storage; the user level dynamic evaluation module is used for calculating a comprehensive score through multi-dimensional index weighting and dividing five layers of users; the incentive differentiation configuration module formulates gradient incentive strategies according to different hierarchies; the promotion resource intelligent distribution module distributes promotion resources according to levels, targets and scenes; and the promotion effect tracking feedback module is used for monitoring data, generating a report and dynamically adjusting a strategy to realize optimization. According to the method, accurate division of user levels is realized, the user participation degree is improved through differential excitation, the utilization efficiency is improved through intelligent distribution and promotion of resources, continuous optimization is performed through an effect feedback closed loop, different business targets are adapted, and the marketing promotion accuracy and efficiency are improved.

The invention relates to the technical field of data processing, and discloses an electronic book intelligent recommendation method and system based on multi-source data, and the method comprises the steps: collecting user data, score data, a time period, an equipment type and an environment label, and extracting a user feature vector; performing similarity calculation on the behavior characteristics of the to-be-recommended chapter, the score change vector and the user characteristic vector to obtain a first similarity; constructing a current situation vector based on the current position of the user and the real-time weather information, and comparing the current situation vector with the optimal reading situation to obtain a situation matching degree; comparing the historical weather information of the current user with historical weather when the feedback user participates in the scoring behavior to obtain a historical weather matching degree; calculating a second similarity according to the situation matching degree and the historical weather matching degree; and sorting the candidate chapters based on a product of the first similarity and the second similarity to generate a recommendation list. According to the method, personalized recommendation of the electronic book chapters is realized by constructing the user interest map.

The invention relates to an information interaction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining query content; displaying query related nodes; the query related node is used for representing a task generated in the process of obtaining the query result of the query content; executing the task represented by the query related node, and displaying an interactive question when the user needs to participate in interaction in the task execution process; the interactive questioning module is used for carrying out at least one of information confirmation and information inquiry aiming at the task; and in response to a reply operation for the interactive question, displaying reply content, the reply content being used for continuing to execute the task to obtain a task execution result. By adopting the method, the accuracy of the content generated by the intelligent agent can be improved.

Example implementations include methods and systems that relate to search results and recommendations in a media content delivery system. An example method includes providing a search query to a multi-task language model associated with a media content delivery system. The method also includes providing user engagement information to the multi-task language model. The user engagement information indicates user engagement activity with the media content delivery system. The method also includes retrieving, using the multi-task language model and based on the search query, one or more candidate media items from a media item database of the media content delivery system. The method also includes identifying, using the multi-task language model and based on the user engagement information, one or more recommended media items from the media item database.

A smart cart presents candidate content objects to a user according to presentation constraints determined based on a predicted route of the smart cart. The smart cart obtains, from an item database, a plurality of candidate content objects to be presented to a user of a smart cart. The smart cart obtains a location of the smart cart in an environment. The smart cart applies a machine-learning route prediction model to the location of the smart cart to determine a future route of the smart cart. The smart cart determines, for each candidate content object, one or more presentation constraints based on the future route of the smart cart, wherein the presentation constraints constrain presentation of the candidate content object to the user to maximize a likelihood of the user engaging with the content object. The smart cart presents, via an electronic display, one or more of the candidate content objects according to the presentation constraints.

The invention relates to a virtual power plant optimization scheduling method and system. The method comprises the following steps: establishing an operation model of a multi-type adjustable resource main body; constructing a master-slave game model of the aggregator and the resource main body, wherein the master-slave game model comprises an upper-layer model taking the aggregator as a leader and a lower-layer model taking the resource main body as a follower; solving a master-slave game model of the aggregator and the resource main body to obtain an optimal compensation price strategy and an optimal response power strategy, and constructing an optimal power scheduling plan according to the optimal response power strategy; the optimal power scheduling plan is used for being issued to each adjustable resource main body for execution so as to realize optimal scheduling of the virtual power plant. According to the method, the participation enthusiasm of the resource main body can be stimulated, the user participation degree can be improved, the scheduling instruction execution rate can be improved, the model accuracy can be improved, the cooperative capability of heterogeneous resources can be improved, and the overall operation economy and stability of the virtual power plant can be improved.

The invention discloses a construction method and evaluation method based on a vehicle network interaction multi-dimensional evaluation model, and the method comprises the steps: automatically recognizing all influence factors in a region through a machine learning algorithm based on intelligent power grid big data and geographic information data, and determining region-level evaluation parameters; fusing the evaluation parameters by a multi-dimensional data fusion method based on deep learning to obtain a comprehensive evaluation index; then, the number of input variables is reduced through feature selection and dimension reduction technologies, meanwhile, an approximation algorithm is adopted to replace complex mathematical operation, and a lightweight assessment model is constructed; and constructing a vehicle network interaction multi-dimensional evaluation model based on the lightweight evaluation model in combination with resource value information and multi-scene requirements. According to the method, the functions of differentiated scheduling, peak clipping and valley filling, frequency adjustment and emergency response are realized, the problems of resource mismatching, scheduling lag and poor regional adaptability caused by traditional static assessment are solved, the power grid stability, the scheduling efficiency and the user participation enthusiasm are improved, and the application of the V2G technology is promoted.

The invention discloses a health data management method, and relates to the technical field of health management, and the method comprises the steps: mapping the health data of a target management object to the current attribute data of a virtual role; determining an attribute change condition of the virtual character according to the current attribute data and historical attribute data of the virtual character, and generating a first prompt word based on the attribute change condition; and inputting the first prompt word and the image image corresponding to the virtual character into the first generative large model to generate a new image image of the virtual character. According to the method and the device, abstract health data are converted into visual feedback, so that the target management object can directly perceive the change of the health condition of the target management object through the change of the virtual character image, and meanwhile, the user is stimulated to optimize the health condition of the target management object through the change of the virtual character image. The health management application is continuously used to improve the image of the virtual character, and the enthusiasm and continuity of the user participating in health management are improved.

The application discloses a kind of based on load quasi-linear type demand response's shared energy storage optimization configuration method and system, belong to new energy grid-connected control technology.The application first constructs a user side shared energy storage operation mode, then proposes the quasi-line forming mode based on performance incentive mechanism and incentive subsidy strategy, fully tap microgrid user and shared energy storage common value, simplify the difficulty of guiding user to change power consumption mode.To make up the rigidity load and the user-friendly degree of weak decision-making ability is not good, it is not conducive to attract mass users to participate in the limitation.Further, the user side shared energy storage configuration model with the sum of shared energy storage operator and energy storage user maximum social welfare best as target is constructed, the model considers two links of planning and operation, pricing is carried out according to the substitution benefit of each market member to other market members in running link, satisfies social welfare maximization, incentive compatibility and individual rationality etc.

A marketplace network for facilitating transactions among a plurality of marketplace participants. The marketplace network includes a plurality of service provider systems associated with respective service provider participants. Each of the plurality of service provider systems are communicatively coupled to a respective merchant server. The marketplace network includes a plurality of user systems associated with respective user participants configured to generate a service request to one of the plurality of service provider systems. The marketplace server facilitates transactions digitally by executing a set of computer-executable tasks for securely processing transactional exchanges among the marketplace participants. The transactional exchanges include at least exchanges of ownership rights for digitally stored data at least in part owned originally by the user participants.

The appearance customization method of a three-dimensional model, an electronic device and a storage medium provided by the present application relate to the technical field of three-dimensional modeling. The method comprises: obtaining a texture coordinate mapping diagram of a target three-dimensional model surface, the texture coordinate mapping diagram being used to represent a mapping relationship from the three-dimensional model surface to a two-dimensional plane; generating an appearance design texture file based on an image material selected by a user and a target region in the texture coordinate mapping diagram; and fitting the appearance design texture file to the target three-dimensional model surface based on the mapping relationship defined by the texture coordinate mapping diagram to obtain a virtual appearance model image. Thus, the present application can customize the appearance requirements of a three-dimensional model according to the personal preferences of a user, thereby avoiding the problem of aesthetic fatigue caused by fixed preset styles and improving the interactive interest and user participation of the three-dimensional model.

The present disclosure provides a computer-implemented system and method for creating and serving cause-aligned digital personalized content that convert user engagement into real-time brand-funded donations. The system employs machine learning algorithms to match brands with compatible causes and relevant users, generating personalized advertisements in real-time. A key feature is the interactive AdsUp button, which triggers micro-donations from brands to causes based on user engagement. The system incorporates a continuous learning module that refines the machine learning model using real-time user engagement data, ensuring ongoing improvement in targeting personalized content and effectiveness.

Disclosed embodiments provide a framework for automatically generating media promotions according to real-time media analytics and that can be presented to different users of a peer-to-peer music recommendation service. In response to a user query to generate a promotion for a song, the service converts the query into a set of embeddings. Using user profile data and historical music data corresponding to the song and obtained based on the set of embeddings, the service generates music analytics corresponding to the song and recommendations for different music promotions associated with the song. The service can implement these music promotions and track the efficacy of these music promotions as users engage with the music promotions and the song.

The invention discloses an intelligent scheduling and user participation method and system for rice-oil rotation adopting farming operation, and relates to the technical field of intelligent agriculture and agricultural digital management, and the method comprises the steps: obtaining environment, crop phenotypes and user interaction data, and generating a first feature vector of crop urgency and a second feature vector of user behavior; performing primary screening based on the feature vectors to obtain candidate time windows, and calculating group risk parameters; constructing a safety buffer margin by using the parameter to correct a physical residual time length, and delimiting a safety operation feasible region; constructing an objective function containing mechanical cost and user matching degree potential energy in the domain, and determining a scheduling instruction through optimization; according to the method, random uncertainty characteristics of external group interaction behaviors are quantified and converted into dynamic boundary constraint conditions of an agricultural machinery operation scheduling model, an elastic operation time domain with anti-risk capability is constructed, and safe and efficient scheduling of agricultural machinery resources under multi-dimensional complex constraints is realized.

Systems and methods for organizing online events are disclosed. An example server includes one or more processors having hardware. The one or more processors acquire game start information indicating that a plurality of users have started a game, acquire game end information indicating that the plurality of users have ended the game, derive a probability that each of the plurality of users will play the game in a plurality of time periods in a future using the game start information and the game end information in a past of the plurality of users, identify a time period in the future in which there are many users having high probabilities of playing the game, and notify a user who will act as a host of information indicating the identified time period in the future and information on the users having high probabilities of playing the game in the time period.

The invention relates to a data processing method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that under the condition that a page is in an open state, a pulse signal used for determining time length data is reported in response to the fact that a collection condition corresponding to the time length data is met, and the time length data is used for representing the user participation degree of the page. Therefore, by reporting the pulse data, the participation degree of the user on the page can be measured more simply and accurately, accurate determination of the time length data is realized, the possibility of missing report and false report is effectively reduced, and a solid data support is provided for subsequent business decision. Moreover, the data processing method provided by the invention can be suitable for various front-end frames, most industries and most Web development scenes, and has wide universality.

The application relates to the technical field of data processing, and discloses an electronic book intelligent recommendation method and system based on multi-source data, which comprises the following steps: collecting user data, score data, time periods, device types and environment labels, and extracting a user feature vector; performing similarity calculation on the behavior features and score change vectors of a chapter to be recommended and the user feature vector to obtain a first similarity; constructing a current context vector based on a user current position and real-time weather information, and comparing the current context vector with an optimal reading context to obtain a context matching degree; comparing current user historical weather information with historical weather information when a feedback user participates in a score behavior to obtain a historical weather matching degree; calculating a second similarity according to the context matching degree and the historical weather matching degree; and sorting candidate chapters based on the product of the first similarity and the second similarity to generate a recommendation list. The application realizes personalized recommendation of electronic book chapters by constructing a user interest graph.

A system and method for assessing personal preferences and interests of end-users by engaging one or more end-users in a game in which the end-user may be given a chance to win a product item from a collection of product items selected by the end-user.