system

Abstract

Provide a system. 【Solution means】 In an information processing apparatus, means for a business operator to input and store registration information; means for a business operator to input and confirm advertising campaign information; means for setting an advertising distribution destination based on the input advertising campaign information; means for receiving payment information for advertising expenses and performing settlement; means for transmitting advertising campaign information to an external system and preferentially displaying advertisements; means for analyzing the effect of advertising distribution and generating a report; A system including the above.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern advertising methods, in order for businesses to effectively reach customers on the Internet, it is necessary to use multiple advertising platforms. As a result, not only do advertising costs increase, but also the burden of complex processes and management operations arises. In addition, with the development of AI technology, the need for new advertising methods through AI agents is increasing, but there is currently a lack of appropriate platforms for this. Against this background, there is a need for a system that allows businesses to operate advertisements using AI agents simply and efficiently.

Means for Solving the Problems

[0005] This invention provides a convenient access environment by providing a means for businesses to input and store registration information in an information processing device. It also simplifies the complex advertising management process by providing input means that enable the setting and confirmation of advertising campaigns. Furthermore, it enables effective reach to target users by providing means for setting advertising distribution destinations based on the input advertising campaign information. It also improves the efficiency of cost management by providing means for completing online payment of advertising costs and processing settlements. By transmitting advertising campaign information to an external AI system and achieving priority display, it realizes a new AI-powered advertising distribution model. Finally, by adding means for analyzing the effectiveness of advertising distribution and generating reports based on the results, it supports businesses in improving their advertising strategies and efficient operations.

[0006] An "information processing device" is a computer system that inputs, processes, stores, and outputs data, and is a device that automatically performs specific tasks according to a program.

[0007] A "business operator" is an individual or legal entity that conducts a specific business and is the entity that inputs and manages the necessary information as a user of an advertising campaign.

[0008] "Registration information" refers to basic information that businesses enter in order to use the system, and includes data such as company name, contact person's name, and contact information.

[0009] "Advertising campaign information" refers to planned data related to advertising activities, including the purpose, content, target audience, budget, and duration of the advertisement.

[0010] "Ad delivery destination" refers to the platform or channel on which an ad is displayed based on a set advertising campaign.

[0011] "External systems" refer to other systems or AI that exist separately from this platform and are responsible for receiving and distributing advertising information.

[0012] "Priority display" is an advertising technique that places ads higher in the display order than usual to increase user visibility.

[0013] "Advertising costs" refer to the funds necessary to carry out an advertising campaign, and these costs vary depending on the scale and duration of the advertising.

[0014] "Payment processing" refers to the process that includes the procedure for paying advertising fees through the payment method selected by the business operator.

[0015] "Analysis" is the process of organizing acquired data and deriving information to evaluate the effectiveness and performance of advertising.

[0016] A "report" is a document or digital material that summarizes analysis results in an easy-to-understand format for businesses, and is used as a guideline for advertising strategies. [Brief explanation of the drawing]

[0017] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8]It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described according to the accompanying drawings.

[0019] First, the terms used in the following description will be described.

[0020] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Further, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0030] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0037] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0038] This invention constructs a platform for businesses to request advertising from AI agents via an information processing device. In this process, the business first accesses the platform using a terminal and enters registration information. The server receives this information and stores it in a database.

[0039] Next, the business uses a terminal to input target users, budget, duration, and ad content to set up the advertising campaign. The server verifies the entered campaign information and saves it to the database. This configures the advertising campaign, enabling ad delivery that meets the business's requirements.

[0040] After the business operator reviews the campaign details, they proceed with the payment process. The server receives payment information from the terminal and processes the payment via the payment gateway. Once the payment is successful, the server updates the campaign status to "active," and the ad is ready to be delivered.

[0041] The server sends active advertising campaign information to the AI ​​agent. Based on this information, the AI ​​agent prioritizes displaying relevant user queries. This expands the reach of ads and streamlines the promotional activities of businesses.

[0042] Furthermore, the server continuously collects ad delivery data and analyzes its effectiveness. The generated analytical data is provided to businesses as a report on a dashboard on their devices. This report includes ad impressions, click-through rates, sales data, etc., which businesses can use to optimize their future marketing strategies.

[0043] As a concrete example, consider a restaurant operator promoting a new seasonal menu. This operator uses this platform to launch a low-budget campaign targeting a specific demographic in a target area. The AI ​​agent prominently displays the operator's advertisement to users searching for restaurants or dining options in that area. The operator can see the results in real time and quickly assess the penetration rate of the new menu.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The user accesses the device and enters the required registration information (company name, contact information, password, etc.) on the new registration screen. After entering the information, the device accepts the user's input by clicking the "Register" button.

[0047] Step 2:

[0048] The server receives registration information sent from the terminal and stores that information in the database. It then sends a confirmation message to the user's terminal indicating that registration is complete.

[0049] Step 3:

[0050] The user enters their registered email address and password on the login screen and sends a login request to the server.

[0051] Step 4:

[0052] The server compares the received login information with the database and performs authentication. If authentication is successful, the dashboard screen is displayed on the user's device.

[0053] Step 5:

[0054] The user proceeds from the dashboard to the ad campaign settings and enters campaign details (target, budget, duration, ad content) on their device.

[0055] Step 6:

[0056] The device displays a confirmation screen for the entered campaign information, and after the user confirms that it is correct, it accepts the action of clicking the "Save" button.

[0057] Step 7:

[0058] The server stores the campaign information sent from the terminal in a database and generates a campaign ID.

[0059] Step 8:

[0060] The user reviews the advertising costs on the payment screen, enters their payment information (such as credit card information), and clicks the "Pay" button.

[0061] Step 9:

[0062] The server works with the payment gateway to process the entered payment information and verify the success or failure of the payment. If the payment is completed, the campaign status is updated to "Active".

[0063] Step 10:

[0064] The server sends active advertising campaign information to an external AI agent system.

[0065] Step 11:

[0066] The AI ​​agent uses the received advertising information to prioritize and present advertisements to relevant user queries, and then returns the results to the server.

[0067] Step 12:

[0068] The server collects and analyzes ad delivery data (such as impressions and click-through rates). Based on this analysis, it generates reports and displays them as dashboards on the device.

[0069] Step 13:

[0070] Users can view reports on the dashboard, evaluate the effectiveness of their ads, and use that information to inform their future campaign strategies.

[0071] (Example 1)

[0072] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0073] In today's digital advertising environment, efficiently and effectively delivering advertisements and accurately measuring their results is challenging. This is especially true for small and medium-sized businesses, which have limited budgets and fewer options for reaching the right target audience, as well as difficulty measuring effectiveness and using that information to improve future campaigns. To address these challenges, a comprehensive system is needed that seamlessly handles everything from ad setup and delivery to performance analysis.

[0074] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0075] In this invention, the server includes means for users to input registration information and store it in a storage medium, means for setting advertising destinations based on the input advertising activity plan information, and means for transferring the advertising activity plan information to an external processing system and presenting advertisements with increased importance. This makes it easier for businesses to manage advertising campaigns and measure their effectiveness in real time using a generative AI model.

[0076] "User" refers to businesses or individuals who register or configure advertising campaigns through the system.

[0077] "Registration information" refers to basic information about the user and is data necessary for account creation and authentication.

[0078] "Advertising activity plan information" refers to detailed setting information including the objectives, content, target audience, budget, and duration of an advertising campaign.

[0079] A "storage medium" is a digital storage technology that stores input data for the long term, allowing it to be referenced and modified within the system.

[0080] An "external processing system" is an external platform or service that is not part of the system itself, but supports the distribution of advertising information and the measurement of its effectiveness.

[0081] "Ad target audience" refers to the viewers or potential customers targeted by a set advertising campaign.

[0082] A "generative AI model" is an artificial intelligence technology used to optimize advertising campaigns and prioritize the display of relevant queries.

[0083] A "dashboard" is an interface that visually displays the effectiveness of advertisements and the progress of campaigns, allowing users to intuitively grasp the information.

[0084] This invention is an information processing system that streamlines the management and effectiveness measurement of advertising campaigns. Specific embodiments are described below.

[0085] Users access the system via a terminal and enter their registration information. These terminals include typical personal computers and smartphones, and can be operated through a dedicated application or web browser. Users pre-enter their user information, and this data is stored in a database by the server.

[0086] Next, the user enters advertising activity plan information using their device. This includes the target user group, advertising budget, duration, and ad content. This information is necessary for effective ad delivery and is saved to a database by the server after input.

[0087] Once an advertising campaign is set up, the server utilizes a generative AI model to prioritize the display of relevant user queries. This generative AI model supports target selection and optimization of ad delivery based on user input data. Furthermore, the server collaborates with external processing systems to continuously monitor ad delivery procedures and their effectiveness.

[0088] Once an ad is delivered, the server analyzes its effectiveness and compiles the results into a report. This report is provided to the user in real time via a dashboard on their device and includes various data such as ad impressions, click-through rates, and sales. Based on this information, users can optimize their future advertising strategies.

[0089] As a concrete example, consider a restaurant promoting a new menu item. The user inputs a prompt message such as "We are launching a campaign to introduce our new seasonal menu" into an AI model, enabling effective advertising to target users. Through this process, high advertising effectiveness can be achieved at a low cost.

[0090] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0091] Step 1:

[0092] Users access the system using a terminal and enter registration information. This information includes user name, contact information, and company information. This information is sent from the terminal to the server, which verifies the received data and, if correct, stores it in the database. This creates a user account and grants access to the system.

[0093] Step 2:

[0094] The user enters advertising activity plan information via their device. This information includes the target audience, advertising budget, campaign duration, and ad content. The device sends this input data to the server, which verifies the received data accurately. The server stores the properly formatted data in a database, and the advertising campaign setup is complete.

[0095] Step 3:

[0096] The server utilizes a generated AI model based on stored advertising activity plan information to determine the priority of ads for relevant user queries. Specifically, the AI ​​model analyzes user input data and generates a delivery strategy suitable for the target audience. As a result, a list of ad destinations is generated, ready to be displayed preferentially for relevant queries.

[0097] Step 4:

[0098] Once the server is ready to launch advertising campaigns, it collaborates with an external processing system to deliver the ads. During the delivery process, ads are presented with high priority to target user segments selected by a generative AI model. This improves ad reach and enables more efficient promotion.

[0099] Step 5:

[0100] The server continuously collects data after ad delivery and analyzes its effectiveness. Specifically, it analyzes data such as impressions, click-through rates, and conversion rates to quantitatively evaluate the success of the advertising campaign. This data is compiled as analysis results and displayed on a dashboard that is updated in real time.

[0101] Step 6:

[0102] Users access the dashboard via their devices to check the effectiveness of their advertising campaigns. The reports provided include summaries and visualized results of the collected data. Based on this, users can adjust their next advertising strategy and conduct more effective promotional activities.

[0103] (Application Example 1)

[0104] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0105] In recent years, businesses have been strongly urged to improve the efficiency and accuracy of their advertising activities. However, optimizing advertising strategies and analyzing delivery effectiveness in real time presents significant challenges in terms of time and cost. This is especially difficult for small businesses, which often struggle to carry out these processes quickly and effectively. Therefore, there is a need for a new system that efficiently and effectively manages advertising campaigns, provides a visual understanding of their delivery effectiveness, and delivers timely reports and strategic proposals tailored to the business's needs.

[0106] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0107] In this invention, the server includes means for an entity to input and store registration information; means for an entity to input and confirm advertising project information; means for setting advertising distribution destinations based on the input advertising project information; means for receiving and settling information regarding the payment of advertising funds; means for transmitting advertising project information to an external system and displaying advertisements preferentially; means for analyzing the results of advertising distribution and generating a report; and means for notifying the entity of the report content and making suggestions for adjusting the advertising strategy. This enables the entity to efficiently manage its advertising strategy, quickly grasp the results, and make improvements.

[0108] A "business entity" refers to a corporation or sole proprietorship that wants to efficiently manage and optimize its advertising activities.

[0109] "Registration information" refers to the basic information that a business entity enters into the platform as an initial setup, and is stored in the database necessary for operation.

[0110] "Advertising project information" refers to planning information that specifically outlines the target audience, budget, content, and duration of an advertising campaign.

[0111] "Ad delivery destinations" refer to specific recipients or channels on which advertisements are displayed, and are selected based on conditions set by the business entity.

[0112] "Advertising funds" refer to the budget or expenses that a business entity prepares for the purpose of implementing an advertising campaign.

[0113] "Settlement" refers to the process of processing advertising campaign costs based on payment information provided by the business entity.

[0114] "External systems" refer to other online services or networks connected to the platform for the purpose of delivering advertisements outside of the platform.

[0115] "Ad delivery results" refer to data that shows the effects and impacts obtained after an advertising campaign has been implemented, and serve as the basis for analysis and reporting.

[0116] A "report" is a document or display that visualizes the results of an advertising campaign, and serves as basic information for a business entity when considering its future strategies.

[0117] A "strategic proposal" is advice and guidance provided to a business entity based on the results of its advertising campaigns, outlining the next advertising methods to be implemented and areas for improvement.

[0118] The system for implementing this invention aims to efficiently manage advertising activities. The system is accessed by a business entity using a terminal to input and store registration information. This terminal may be a personal computer or a mobile device. The registration information is stored in a database and managed by a server.

[0119] When a business entity enters advertising project information, target users, budget, and ad content are entered via a terminal. This information is retrieved by a server, analyzed, and then the ad delivery destinations are set. For advertising payments, the server receives the payment information entered on the terminal and processes it via an external payment gateway.

[0120] Once an advertising campaign begins, the server sends advertising project information to an external system, and an AI agent prioritizes displaying the ads. Machine learning algorithms are used in this process. The collected ad delivery results are analyzed by the server and provided as a report on a display screen accessible to the business entity.

[0121] As a concrete example, a local bookstore might want to run an advertising campaign for a new book fair. The bookstore would target local book lovers and start the campaign with a small budget. An AI agent would display the bookstore's advertisement to people in the local area who are interested in reading, promoting the fair information. As a result, interest in new books would increase, and the number of customers visiting the bookstore would rise.

[0122] An example of a prompt to the generating AI model is: "A local bookstore wants to run an advertising campaign for a new book fair through a smartphone app. The target audience is local residents, especially avid readers. Please suggest the optimal advertising strategy."

[0123] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0124] Step 1:

[0125] The user accesses the system using a terminal and enters registration information. The user fills in their basic information in the form and presses the submit button. This information is sent to the server and stored in the database.

[0126] Step 2:

[0127] The user enters advertising project information from their device. The user sets the advertising details, target audience, budget, and duration. This information is sent to the server, where its validity is verified. Simultaneously, it is stored in the database.

[0128] Step 3:

[0129] The server selects ad delivery destinations based on the entered ad project information. The server analyzes the accumulated data and uses an optimization algorithm to determine the target audience. The selected delivery destination information is managed within the server.

[0130] Step 4:

[0131] The user enters their advertising payment information on their device. The user fills in the payment information on the form and executes the payment process. The server receives this information and approves the payment using an external payment gateway. The approval result is fed back to the user in real time by the server.

[0132] Step 5:

[0133] When an advertising campaign begins, the server sends advertising project information to an external system. The advertising information is then forwarded to an AI agent and displayed preferentially. The AI ​​agent uses a generative AI model to perform more effective ad placement.

[0134] Step 6:

[0135] The server continuously collects and analyzes the results of ad delivery. From the collected data, the server calculates metrics such as click-through rates and conversion rates to evaluate ad effectiveness. These analysis results are generated as reports and stored in a database.

[0136] Step 7:

[0137] The server provides the analysis results as a report to the user's device. The user accesses the dashboard using their device to visually check the progress and success of the advertising campaign. The report also presents suggestions for adjusting future advertising strategies using a generative AI model.

[0138] Through this process, the system provides users with efficient and effective advertising management.

[0139] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0140] This invention provides a system for businesses to effectively and efficiently conduct advertising campaigns using an online platform. This system encompasses user registration and authentication, advertising campaign setup, advertising cost payment, AI agent-driven ad delivery, and analysis and report generation of advertising effectiveness.

[0141] First, the user accesses the system using a device and enters initial registration information. This allows the server to save the registration information to a database and complete the user authentication process. Next, the user enters and confirms details of their advertising campaign and sends this information to the server. Based on the received campaign information, the server provides the functionality to set appropriate ad delivery destinations.

[0142] Furthermore, the system integrates an emotion engine that can analyze user emotions. This emotion engine analyzes user responses to advertisements in real time and dynamically adjusts the content and targeting of advertisements based on the results. This optimizes the effectiveness of advertisements and provides a more personalized advertising experience.

[0143] Once an advertising campaign begins, the server manages the payment process and sends payment information to the payment gateway. After confirming successful payment, the server sends the campaign information to an external system, namely an AI agent. Based on this information, the AI ​​agent prioritizes displaying ads for relevant queries, taking into account the results of user sentiment analysis.

[0144] After an ad is delivered, the server analyzes its performance based on the collected data. It also incorporates the results of the sentiment engine analysis to comprehensively evaluate the effectiveness of the ad campaign. The generated report is provided to the user on a dashboard on their device, allowing them to use it to modify and improve their future advertising strategy.

[0145] For example, if a travel agency is creating an advertisement for a new package tour, this system allows the user to easily set up an advertising campaign targeting their desired market. The emotion engine analyzes the emotional response of potential customers when they see the advertisement and makes real-time adjustments to the ad based on that analysis. As a result, the travel agency can offer competitive and attractive proposals at the right time and in the right circumstances.

[0146] The following describes the processing flow.

[0147] Step 1:

[0148] The user accesses the system's website using their device and enters initial registration information such as company information, contact person's name, contact email address, and password on the account registration screen.

[0149] Step 2:

[0150] After pressing the "Register" button, the device sends registration information to the server. The server receives this information, stores it in its database, and sends a registration completion confirmation message back to the device.

[0151] Step 3:

[0152] The user logs into the dashboard and navigates to the ad campaign settings screen. Here, they enter the target customer profile, ad duration, budget, and ad content.

[0153] Step 4:

[0154] The terminal sends the entered campaign information to the server. The server saves the information in its database and displays a screen on the terminal indicating that the campaign setup is complete.

[0155] Step 5:

[0156] Users can enable the option to apply user sentiment analysis to their ad campaigns by selecting and activating the sentiment engine settings.

[0157] Step 6:

[0158] Once the campaign is ready, users will be directed to the payment screen, where they will review the advertising costs and enter their payment information using a credit card or other payment method.

[0159] Step 7:

[0160] The server receives the payment information, processes the payment via the payment gateway, and sends a success notification to the terminal. The campaign status is updated to "Active".

[0161] Step 8:

[0162] The server sends active campaign information to an external AI agent system and sets up the ad delivery destinations.

[0163] Step 9:

[0164] The AI ​​agent analyzes the user's emotions through an emotion engine, generates emotionally relevant ads, and displays them preferentially based on those ads.

[0165] Step 10:

[0166] The server collects user response data to the displayed advertisements and analyzes it together with sentiment data obtained from the sentiment engine.

[0167] Step 11:

[0168] The server generates an advertising performance report from the collected data and displays the results to the user on a dashboard on their device.

[0169] Step 12:

[0170] Users can review the performance of their advertising campaigns on the dashboard and modify their campaign strategies and settings as needed.

[0171] (Example 2)

[0172] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0173] Traditionally, online advertising campaigns have faced challenges in delivering effective and efficient ads, as well as personalizing them to meet individual user needs. Furthermore, accurately measuring the effectiveness of ad delivery and optimizing ad content in real time has been difficult. As a result, many advertising campaigns have failed to achieve the expected results.

[0174] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0175] In this invention, the server includes means for analyzing the user's emotions and dynamically adjusting the advertising content, means for transmitting promotional information to an external processing device and prioritizing the presentation of advertisements, and means for analyzing the effectiveness of advertisement delivery and generating a report. This makes it possible to deliver personalized advertisements that respond to the user's emotions and reactions while enhancing the effectiveness of advertisement delivery.

[0176] An "information processing system" is a device or combination of devices for collecting, storing, and processing digital information and outputting it according to a specific purpose.

[0177] A "user" is an individual or organization that operates the information processing system and inputs registration data and promotional information.

[0178] "Registration data" refers to the basic information that users provide to the information processing system for authentication and identification purposes.

[0179] "Promotional information" refers to detailed information related to an advertising campaign, including target audience, budget, and delivery period.

[0180] "Advertising destinations" refer to the locations or groups to which advertisements are delivered, selected based on specific conditions or targeting criteria.

[0181] "Advertising expenses" are expenditures incurred in connection with an advertising campaign and are subject to budgeting and payment procedures.

[0182] An "external processing device" is a device or system located outside of an information processing system but which works in conjunction with it to process data and promotional information.

[0183] "Advertising effectiveness" refers to metrics that show the results achieved by an advertising campaign in relation to its target outcomes, and includes metrics such as click-through rates and conversion rates.

[0184] "Sentiment analysis" is a technology that analyzes user reactions and feedback to infer emotions and intentions, and is used to optimize advertising content.

[0185] A "report" is a document that summarizes the results of an analysis of the effectiveness of advertising, providing users with information to develop their next strategies.

[0186] This invention relates to an information processing system for optimizing the effectiveness of advertising campaigns. This system operates via an online platform, sets up advertising campaigns based on user input, and analyzes their results in real time.

[0187] Users access the platform using their devices and enter registration data. This registration data is stored in a database by the server and used for user authentication. Users then enter promotional information necessary for their advertising campaign (e.g., target market, delivery period, budget information). The server receives this information and configures it appropriately.

[0188] After an advertising campaign begins, the server uses a sentiment analysis engine to analyze user responses in real time. This analysis allows for dynamic adjustments to the ad content and delivery method as needed, enabling optimal messaging to the target market.

[0189] The server also works with the payment gateway to manage advertising expenses and process payments appropriately. Once a payment is successful, the server sends promotional information to an external processing unit, and an AI agent uses this information to prioritize ad delivery for relevant queries.

[0190] After an advertising campaign ends, the server evaluates the effectiveness of the ad delivery based on the acquired data. This includes multiple metrics such as clicks, impressions, and conversion rates. The final report is provided through a dashboard on the user's device, which the user can analyze to inform their next campaign strategy.

[0191] For example, when a user sets up an advertising campaign for a new product, this system can quickly and effectively adjust the campaign to suit the target market. An example of a prompt that can be input into the generating AI model is a command such as, "Please provide a strategy to maximize the effectiveness of the advertising campaign for our new product."

[0192] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0193] Step 1:

[0194] Users access the online platform using their devices and enter registration data. This data includes username, email address, and password. Based on this information, the server recognizes the user and stores the data in a database. This process involves data integrity checks and encryption, resulting in the generation of user authentication information.

[0195] Step 2:

[0196] Users input promotional information for advertising campaigns from their devices. Specifically, they input information such as the target audience, ad content, budget, and delivery period. The server receives this information, structures the data, and stores it in a database. This storage process involves data format conversion, resulting in the generation of campaign configuration data.

[0197] Step 3:

[0198] The server determines ad recipients based on the entered promotional information. It uses a targeting algorithm to select appropriate delivery candidates, thereby creating an ad delivery plan. Campaign configuration data is used as input, and an ad delivery list is generated as output.

[0199] Step 4:

[0200] Once an advertising campaign begins, the server utilizes an emotion analysis engine to analyze user reactions to the ads in real time. Input data includes user behavior patterns and feedback, and output is the emotion analysis results. This allows for dynamic adjustments to the ad content and delivery method.

[0201] Step 5:

[0202] The server processes the payment information for advertising expenses. Here, payment information from the user is input, and communication with an external payment gateway is performed to complete the payment. Data processing includes verification and tokenization of the payment information, and as a result, a payment success notification is output.

[0203] Step 6:

[0204] The server transmits promotional information to the AI ​​agent, which then prioritizes displaying ads for relevant queries. The input is campaign information after payment completion, and the output is a list of applied ad impressions.

[0205] Step 7:

[0206] After an advertising campaign ends, the server analyzes the effectiveness of the ads. The required input data includes clicks and impressions, and the analysis generates an ad performance report. The output is a formalized analysis report.

[0207] Step 8:

[0208] The server displays the generated reports on a dashboard, and users can view the reports on their devices. The analytics reports are used as input, and users can obtain reference data to improve their strategy for the next advertising campaign.

[0209] (Application Example 2)

[0210] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0211] A challenge in online advertising lies in the difficulty of providing personalized ads that align with user interests and responses. Traditional systems are unable to analyze user emotions and interests in real time and dynamically adjust ads, resulting in insufficient advertising effectiveness.

[0212] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0213] In this invention, the server includes means for analyzing and storing information, means for dynamically adjusting the content of advertisements, and means for transmitting and prioritizing campaign information. This enables personalized advertising that reflects the user's real-time emotions.

[0214] An "information processing device" refers to any system equipped with functions for registering, storing, analyzing, and distributing data.

[0215] "Business operator" refers to a corporation or individual that conducts advertising campaigns for products or services.

[0216] "Registration information" refers to a dataset containing the information necessary to conduct an advertising campaign.

[0217] "Advertising campaign information" refers to detailed information about the advertising campaign, such as the content of the advertisement, the target audience, and the duration of the advertisement.

[0218] "Ad distribution destination" refers to the media or platform on which advertisements are displayed.

[0219] "Settlement" refers to the process of completing a financial transaction regarding advertising costs.

[0220] "Analyzing user emotions in real time" means acquiring data on the user's current emotional state and immediately analyzing that data.

[0221] "Dynamically adjusting ad content" means instantly changing ad content based on the results of sentiment analysis to deliver the most optimal content.

[0222] "External systems" refer to other databases or distribution platforms located outside of the information processing device.

[0223] "Analyzing advertising effectiveness" is the process of evaluating how much the delivered advertisements contributed to achieving the goals.

[0224] A "report" is a document that summarizes the performance and effectiveness of an advertisement through analysis.

[0225] In the system that implements this invention, first, the user accesses an information processing device using a dedicated terminal and inputs registration information and advertising campaign information. The server receives this information and securely stores it in a database. Next, the server starts a function to set appropriate advertising destinations based on the received advertising campaign information. When the advertisement is delivered, the server analyzes the user's emotional state in real time through an emotion engine.

[0226] This emotion engine uses a combination of hardware to capture the user's facial expressions and voice, and software to analyze them. Specifically, it collects data using cameras and microphones, and this data is analyzed in real time using software such as OpenCV and the Sentiment Analysis Module. Based on the analysis results, the server dynamically adjusts the ad content and prioritizes displaying ads that match the user's emotions.

[0227] While an advertising campaign is running, the server evaluates the effectiveness of the ads based on ad delivery data and sentiment analysis results, and generates a detailed report. Users can view this report on a dashboard on their device and use it to inform their future advertising strategies.

[0228] As a concrete example, consider the delivery of travel-related advertisements. If a user smiles, the system analyzes that reaction and instantly presents attractive travel offers or special promotions. This is achieved through advanced emotion analysis utilizing visual and audio data.

[0229] An example of an input prompt for a generative AI model is, "If a user smiles after viewing a travel ad, what other offers or suggestions would you think would be effective?" This allows the system to further optimize its suggestion options.

[0230] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0231] Step 1:

[0232] The terminal receives registration information and advertising campaign information from the user. The entered data is sent to the server, which stores it in a database. This input includes user identification information and campaign details, which the server uses to verify data integrity and convert it into a storable format.

[0233] Step 2:

[0234] The server analyzes the received advertising campaign information and prepares it to set up appropriate ad delivery destinations. The data processing performed here is filtering to identify the best delivery destinations for the target audience of the user. The output is stored as a delivery destination list.

[0235] Step 3:

[0236] During ad delivery, the server captures the user's facial expressions and voice through the device's camera and microphone. The input visual and audio data is then sent to software that performs sentiment analysis. The data processing includes a real-time emotion extraction process, and the output is evaluated as the user's emotional state.

[0237] Step 4:

[0238] The server dynamically adjusts ad content based on the results of sentiment analysis. The input sentiment data serves as a criterion for determining which ad content is most appropriate from the accumulated ad content. The output is achieved by displaying the selected ad to the user. In this process, the latest and most appropriate ad content is selected instantly.

[0239] Step 5:

[0240] After an ad is delivered, the server processes the collected data to analyze its effectiveness. Inputs include user response data and click-through rates after delivery, which are used to calculate the ad's success. The results of this data processing are then output to the user's dashboard as an effectiveness-based report.

[0241] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0242] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0243] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0244] [Second Embodiment]

[0245] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0246] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0247] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0248] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0249] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0250] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0251] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0252] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0253] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0254] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0255] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0256] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0257] This invention constructs a platform for businesses to request advertising from AI agents via an information processing device. In this process, the business first accesses the platform using a terminal and enters registration information. The server receives this information and stores it in a database.

[0258] Next, the business uses a terminal to input target users, budget, duration, and ad content to set up the advertising campaign. The server verifies the entered campaign information and saves it to the database. This configures the advertising campaign, enabling ad delivery that meets the business's requirements.

[0259] After the business operator reviews the campaign details, they proceed with the payment process. The server receives payment information from the terminal and processes the payment via the payment gateway. Once the payment is successful, the server updates the campaign status to "active," and the ad is ready to be delivered.

[0260] The server sends active advertising campaign information to the AI ​​agent. Based on this information, the AI ​​agent prioritizes displaying relevant user queries. This expands the reach of ads and streamlines the promotional activities of businesses.

[0261] Furthermore, the server continuously collects ad delivery data and analyzes its effectiveness. The generated analytical data is provided to businesses as a report on a dashboard on their devices. This report includes ad impressions, click-through rates, sales data, etc., which businesses can use to optimize their future marketing strategies.

[0262] As a concrete example, consider a restaurant operator promoting a new seasonal menu. This operator uses this platform to launch a low-budget campaign targeting a specific demographic in a target area. The AI ​​agent prominently displays the operator's advertisement to users searching for restaurants or dining options in that area. The operator can see the results in real time and quickly assess the penetration rate of the new menu.

[0263] The following describes the processing flow.

[0264] Step 1:

[0265] The user accesses the device and enters the required registration information (company name, contact information, password, etc.) on the new registration screen. After entering the information, the device accepts the user's input by clicking the "Register" button.

[0266] Step 2:

[0267] The server receives registration information sent from the terminal and stores that information in the database. It then sends a confirmation message to the user's terminal indicating that registration is complete.

[0268] Step 3:

[0269] The user enters their registered email address and password on the login screen and sends a login request to the server.

[0270] Step 4:

[0271] The server compares the received login information with the database and performs authentication. If authentication is successful, the dashboard screen is displayed on the user's device.

[0272] Step 5:

[0273] The user proceeds from the dashboard to the ad campaign settings and enters campaign details (target, budget, duration, ad content) on their device.

[0274] Step 6:

[0275] The device displays a confirmation screen for the entered campaign information, and after the user confirms that it is correct, it accepts the action of clicking the "Save" button.

[0276] Step 7:

[0277] The server stores the campaign information sent from the terminal in a database and generates a campaign ID.

[0278] Step 8:

[0279] The user reviews the advertising costs on the payment screen, enters their payment information (such as credit card information), and clicks the "Pay" button.

[0280] Step 9:

[0281] The server processes the entered payment information in cooperation with the payment gateway and checks the success or failure of the payment. If the payment is completed, the status of the campaign is updated to "active".

[0282] Step 10:

[0283] The server sends the active advertising campaign information to an external AI agent system.

[0284] Step 11:

[0285] Based on the received advertising information, the AI agent preferentially presents advertisements for relevant user queries and returns the results to the server.

[0286] Step 12:

[0287] The server collects and analyzes advertising distribution data (such as the number of displays, click-through rate, etc.). Based on the analysis results, a report is generated and displayed as a dashboard on the terminal.

[0288] Step 13:

[0289] The user checks the report on the dashboard, evaluates the effectiveness of the advertisement, and reflects it in the future campaign strategy.

[0290] (Example 1)

[0291] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0292] In today's digital advertising environment, efficiently and effectively delivering advertisements and accurately measuring their results is challenging. This is especially true for small and medium-sized businesses, which have limited budgets and fewer options for reaching the right target audience, as well as difficulty measuring effectiveness and using that information to improve future campaigns. To address these challenges, a comprehensive system is needed that seamlessly handles everything from ad setup and delivery to performance analysis.

[0293] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0294] In this invention, the server includes means for users to input registration information and store it in a storage medium, means for setting advertising destinations based on the input advertising activity plan information, and means for transferring the advertising activity plan information to an external processing system and presenting advertisements with increased importance. This makes it easier for businesses to manage advertising campaigns and measure their effectiveness in real time using a generative AI model.

[0295] "User" refers to businesses or individuals who register or configure advertising campaigns through the system.

[0296] "Registration information" refers to basic information about the user and is data necessary for account creation and authentication.

[0297] "Advertising activity plan information" refers to detailed setting information including the objectives, content, target audience, budget, and duration of an advertising campaign.

[0298] A "storage medium" is a digital storage technology that stores input data for the long term, allowing it to be referenced and modified within the system.

[0299] An "external processing system" is an external platform or service that is not part of the system itself, but supports the distribution of advertising information and the measurement of its effectiveness.

[0300] "Ad target audience" refers to the viewers or potential customers targeted by a set advertising campaign.

[0301] A "generative AI model" is an artificial intelligence technology used to optimize advertising campaigns and prioritize the display of relevant queries.

[0302] A "dashboard" is an interface that visually displays the effectiveness of advertisements and the progress of campaigns, allowing users to intuitively grasp the information.

[0303] This invention is an information processing system that streamlines the management and effectiveness measurement of advertising campaigns. Specific embodiments are described below.

[0304] Users access the system via a terminal and enter their registration information. These terminals include typical personal computers and smartphones, and can be operated through a dedicated application or web browser. Users pre-enter their user information, and this data is stored in a database by the server.

[0305] Next, the user enters advertising activity plan information using their device. This includes the target user group, advertising budget, duration, and ad content. This information is necessary for effective ad delivery and is saved to a database by the server after input.

[0306] Once an advertising campaign is set up, the server utilizes a generative AI model to prioritize the display of relevant user queries. This generative AI model supports target selection and optimization of ad delivery based on user input data. Furthermore, the server collaborates with external processing systems to continuously monitor ad delivery procedures and their effectiveness.

[0307] When an advertisement is distributed, the server analyzes its effectiveness and summarizes the results as a report. This report is provided to users in real time through the dashboard on the terminal and includes various data such as the number of ad displays, click-through rate, and sales. Based on this information, users can optimize their future advertising strategies.

[0308] As a specific example, consider the case where a restaurant promotes a new menu. The user inputs a prompt sentence such as "We are starting a campaign to introduce new seasonal menus" into the generative AI model, enabling effective promotion to target users. Through this process, a high advertising effect can be obtained at a low cost.

[0309] The flow of the specific process in Example 1 will be described using FIG. 11.

[0310] Step 1: [[ID=1�]]

[0311] The user accesses the system using the terminal and enters registration information. The information entered includes the user name, contact information, company information, etc. This information is sent from the terminal to the server, and the server verifies the received data and saves it in the database if there are no deficiencies. Thereby, a user account is created and access to the system is permitted.

[0312] Step 2:

[0313] The user enters advertising campaign plan information via the terminal. This information includes the target user group, advertising budget, campaign period, and advertisement content. The terminal sends these input data to the server, and the server accurately checks the received data. The server saves the properly formatted data in the database, and the setting of the advertising campaign is completed.

[0314] Step 3:

[0315] The server utilizes a generated AI model based on stored advertising activity plan information to determine the priority of ads for relevant user queries. Specifically, the AI ​​model analyzes user input data and generates a delivery strategy suitable for the target audience. As a result, a list of ad destinations is generated, ready to be displayed preferentially for relevant queries.

[0316] Step 4:

[0317] Once the server is ready to launch advertising campaigns, it collaborates with an external processing system to deliver the ads. During the delivery process, ads are presented with high priority to target user segments selected by a generative AI model. This improves ad reach and enables more efficient promotion.

[0318] Step 5:

[0319] The server continuously collects data after ad delivery and analyzes its effectiveness. Specifically, it analyzes data such as impressions, click-through rates, and conversion rates to quantitatively evaluate the success of the advertising campaign. This data is compiled as analysis results and displayed on a dashboard that is updated in real time.

[0320] Step 6:

[0321] Users access the dashboard via their devices to check the effectiveness of their advertising campaigns. The reports provided include summaries and visualized results of the collected data. Based on this, users can adjust their next advertising strategy and conduct more effective promotional activities.

[0322] (Application Example 1)

[0323] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0324] In recent years, businesses have been strongly urged to improve the efficiency and accuracy of their advertising activities. However, optimizing advertising strategies and analyzing delivery effectiveness in real time presents significant challenges in terms of time and cost. This is especially difficult for small businesses, which often struggle to carry out these processes quickly and effectively. Therefore, there is a need for a new system that efficiently and effectively manages advertising campaigns, provides a visual understanding of their delivery effectiveness, and delivers timely reports and strategic proposals tailored to the business's needs.

[0325] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0326] In this invention, the server includes means for an entity to input and store registration information; means for an entity to input and confirm advertising project information; means for setting advertising distribution destinations based on the input advertising project information; means for receiving and settling information regarding the payment of advertising funds; means for transmitting advertising project information to an external system and displaying advertisements preferentially; means for analyzing the results of advertising distribution and generating a report; and means for notifying the entity of the report content and making suggestions for adjusting the advertising strategy. This enables the entity to efficiently manage its advertising strategy, quickly grasp the results, and make improvements.

[0327] A "business entity" refers to a corporation or sole proprietorship that wants to efficiently manage and optimize its advertising activities.

[0328] "Registration information" refers to the basic information that a business entity enters into the platform as an initial setup, and is stored in the database necessary for operation.

[0329] "Advertising project information" refers to planning information that specifically outlines the target audience, budget, content, and duration of an advertising campaign.

[0330] "Ad delivery destinations" refer to specific recipients or channels on which advertisements are displayed, and are selected based on conditions set by the business entity.

[0331] "Advertising funds" refer to the budget or expenses that a business entity prepares for the purpose of implementing an advertising campaign.

[0332] "Settlement" refers to the process of processing advertising campaign costs based on payment information provided by the business entity.

[0333] "External systems" refer to other online services or networks connected to the platform for the purpose of delivering advertisements outside of the platform.

[0334] "Ad delivery results" refer to data that shows the effects and impacts obtained after an advertising campaign has been implemented, and serve as the basis for analysis and reporting.

[0335] A "report" is a document or display that visualizes the results of an advertising campaign, and serves as basic information for a business entity when considering its future strategies.

[0336] A "strategic proposal" is advice and guidance provided to a business entity based on the results of its advertising campaigns, outlining the next advertising methods to be implemented and areas for improvement.

[0337] The system for implementing this invention aims to efficiently manage advertising activities. The system is accessed by a business entity using a terminal to input and store registration information. This terminal may be a personal computer or a mobile device. The registration information is stored in a database and managed by a server.

[0338] When a business entity enters advertising project information, target users, budget, and ad content are entered via a terminal. This information is retrieved by a server, analyzed, and then the ad delivery destinations are set. For advertising payments, the server receives the payment information entered on the terminal and processes it via an external payment gateway.

[0339] Once an advertising campaign begins, the server sends advertising project information to an external system, and an AI agent prioritizes displaying the ads. Machine learning algorithms are used in this process. The collected ad delivery results are analyzed by the server and provided as a report on a display screen accessible to the business entity.

[0340] As a concrete example, a local bookstore might want to run an advertising campaign for a new book fair. The bookstore would target local book lovers and start the campaign with a small budget. An AI agent would display the bookstore's advertisement to people in the local area who are interested in reading, promoting the fair information. As a result, interest in new books would increase, and the number of customers visiting the bookstore would rise.

[0341] An example of a prompt to the generating AI model is: "A local bookstore wants to run an advertising campaign for a new book fair through a smartphone app. The target audience is local residents, especially avid readers. Please suggest the optimal advertising strategy."

[0342] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0343] Step 1:

[0344] The user accesses the system using a terminal and enters registration information. The user fills in their basic information in the form and presses the submit button. This information is sent to the server and stored in the database.

[0345] Step 2:

[0346] The user enters advertising project information from their device. The user sets the advertising details, target audience, budget, and duration. This information is sent to the server, where its validity is verified. Simultaneously, it is stored in the database.

[0347] Step 3:

[0348] The server selects ad delivery destinations based on the entered ad project information. The server analyzes the accumulated data and uses an optimization algorithm to determine the target audience. The selected delivery destination information is managed within the server.

[0349] Step 4:

[0350] The user enters their advertising payment information on their device. The user fills in the payment information on the form and executes the payment process. The server receives this information and approves the payment using an external payment gateway. The approval result is fed back to the user in real time by the server.

[0351] Step 5:

[0352] When an advertising campaign begins, the server sends advertising project information to an external system. The advertising information is then forwarded to an AI agent and displayed preferentially. The AI ​​agent uses a generative AI model to perform more effective ad placement.

[0353] Step 6:

[0354] The server continuously collects and analyzes the results of ad delivery. From the collected data, the server calculates metrics such as click-through rates and conversion rates to evaluate ad effectiveness. These analysis results are generated as reports and stored in a database.

[0355] Step 7:

[0356] The server provides the analysis results as a report to the user's device. The user accesses the dashboard using their device to visually check the progress and success of the advertising campaign. The report also presents suggestions for adjusting future advertising strategies using a generative AI model.

[0357] Through this process, the system provides users with efficient and effective advertising management.

[0358] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0359] This invention provides a system for businesses to effectively and efficiently conduct advertising campaigns using an online platform. This system encompasses user registration and authentication, advertising campaign setup, advertising cost payment, AI agent-driven ad delivery, and analysis and report generation of advertising effectiveness.

[0360] First, the user accesses the system using a device and enters initial registration information. This allows the server to save the registration information to a database and complete the user authentication process. Next, the user enters and confirms details of their advertising campaign and sends this information to the server. Based on the received campaign information, the server provides the functionality to set appropriate ad delivery destinations.

[0361] Furthermore, the system integrates an emotion engine that can analyze user emotions. This emotion engine analyzes user responses to advertisements in real time and dynamically adjusts the content and targeting of advertisements based on the results. This optimizes the effectiveness of advertisements and provides a more personalized advertising experience.

[0362] Once an advertising campaign begins, the server manages the payment process and sends payment information to the payment gateway. After confirming successful payment, the server sends the campaign information to an external system, namely an AI agent. Based on this information, the AI ​​agent prioritizes displaying ads for relevant queries, taking into account the results of user sentiment analysis.

[0363] After an ad is delivered, the server analyzes its performance based on the collected data. It also incorporates the results of the sentiment engine analysis to comprehensively evaluate the effectiveness of the ad campaign. The generated report is provided to the user on a dashboard on their device, allowing them to use it to modify and improve their future advertising strategy.

[0364] For example, if a travel agency is creating an advertisement for a new package tour, this system allows the user to easily set up an advertising campaign targeting their desired market. The emotion engine analyzes the emotional response of potential customers when they see the advertisement and makes real-time adjustments to the ad based on that analysis. As a result, the travel agency can offer competitive and attractive proposals at the right time and in the right circumstances.

[0365] The following describes the processing flow.

[0366] Step 1:

[0367] The user accesses the system's website using their device and enters initial registration information such as company information, contact person's name, contact email address, and password on the account registration screen.

[0368] Step 2:

[0369] After pressing the "Register" button, the device sends registration information to the server. The server receives this information, stores it in its database, and sends a registration completion confirmation message back to the device.

[0370] Step 3:

[0371] The user logs into the dashboard and navigates to the ad campaign settings screen. Here, they enter the target customer profile, ad duration, budget, and ad content.

[0372] Step 4:

[0373] The terminal sends the entered campaign information to the server. The server saves the information in its database and displays a screen on the terminal indicating that the campaign setup is complete.

[0374] Step 5:

[0375] Users can enable the option to apply user sentiment analysis to their ad campaigns by selecting and activating the sentiment engine settings.

[0376] Step 6:

[0377] Once the campaign is ready, users will be directed to the payment screen, where they will review the advertising costs and enter their payment information using a credit card or other payment method.

[0378] Step 7:

[0379] The server receives the payment information, processes the payment via the payment gateway, and sends a success notification to the terminal. The campaign status is updated to "Active".

[0380] Step 8:

[0381] The server sends active campaign information to an external AI agent system and sets up the ad delivery destinations.

[0382] Step 9:

[0383] The AI ​​agent analyzes the user's emotions through an emotion engine, generates emotionally relevant ads, and displays them preferentially based on those ads.

[0384] Step 10:

[0385] The server collects user response data to the displayed advertisements and analyzes it together with sentiment data obtained from the sentiment engine.

[0386] Step 11:

[0387] The server generates an advertising performance report from the collected data and displays the results to the user on a dashboard on their device.

[0388] Step 12:

[0389] Users can review the performance of their advertising campaigns on the dashboard and modify their campaign strategies and settings as needed.

[0390] (Example 2)

[0391] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0392] Traditionally, online advertising campaigns have faced challenges in delivering effective and efficient ads, as well as personalizing them to meet individual user needs. Furthermore, accurately measuring the effectiveness of ad delivery and optimizing ad content in real time has been difficult. As a result, many advertising campaigns have failed to achieve the expected results.

[0393] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0394] In this invention, the server includes means for analyzing the user's emotions and dynamically adjusting the advertising content, means for transmitting promotional information to an external processing device and prioritizing the presentation of advertisements, and means for analyzing the effectiveness of advertisement delivery and generating a report. This makes it possible to deliver personalized advertisements that respond to the user's emotions and reactions while enhancing the effectiveness of advertisement delivery.

[0395] An "information processing system" is a device or combination of devices for collecting, storing, and processing digital information and outputting it according to a specific purpose.

[0396] A "user" is an individual or organization that operates the information processing system and inputs registration data and promotional information.

[0397] "Registration data" refers to the basic information that users provide to the information processing system for authentication and identification purposes.

[0398] "Promotional information" refers to detailed information related to an advertising campaign, including target audience, budget, and delivery period.

[0399] "Advertising destinations" refer to the locations or groups to which advertisements are delivered, selected based on specific conditions or targeting criteria.

[0400] "Advertising expenses" are expenditures incurred in connection with an advertising campaign and are subject to budgeting and payment procedures.

[0401] An "external processing device" is a device or system located outside of an information processing system but which works in conjunction with it to process data and promotional information.

[0402] "Advertising effectiveness" refers to metrics that show the results achieved by an advertising campaign in relation to its target outcomes, and includes metrics such as click-through rates and conversion rates.

[0403] "Sentiment analysis" is a technology that analyzes user reactions and feedback to infer emotions and intentions, and is used to optimize advertising content.

[0404] A "report" is a document that summarizes the results of an analysis of the effectiveness of advertising, providing users with information to develop their next strategies.

[0405] This invention relates to an information processing system for optimizing the effectiveness of advertising campaigns. This system operates via an online platform, sets up advertising campaigns based on user input, and analyzes their results in real time.

[0406] Users access the platform using their devices and enter registration data. This registration data is stored in a database by the server and used for user authentication. Users then enter promotional information necessary for their advertising campaign (e.g., target market, delivery period, budget information). The server receives this information and configures it appropriately.

[0407] After an advertising campaign begins, the server uses a sentiment analysis engine to analyze user responses in real time. This analysis allows for dynamic adjustments to the ad content and delivery method as needed, enabling optimal messaging to the target market.

[0408] The server also works with the payment gateway to manage advertising expenses and process payments appropriately. Once a payment is successful, the server sends promotional information to an external processing unit, and an AI agent uses this information to prioritize ad delivery for relevant queries.

[0409] After an advertising campaign ends, the server evaluates the effectiveness of the ad delivery based on the acquired data. This includes multiple metrics such as clicks, impressions, and conversion rates. The final report is provided through a dashboard on the user's device, which the user can analyze to inform their next campaign strategy.

[0410] For example, when a user sets up an advertising campaign for a new product, this system can quickly and effectively adjust the campaign to suit the target market. An example of a prompt that can be input into the generating AI model is a command such as, "Please provide a strategy to maximize the effectiveness of the advertising campaign for our new product."

[0411] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0412] Step 1:

[0413] Users access the online platform using their devices and enter registration data. This data includes username, email address, and password. Based on this information, the server recognizes the user and stores the data in a database. This process involves data integrity checks and encryption, resulting in the generation of user authentication information.

[0414] Step 2:

[0415] Users input promotional information for advertising campaigns from their devices. Specifically, they input information such as the target audience, ad content, budget, and delivery period. The server receives this information, structures the data, and stores it in a database. This storage process involves data format conversion, resulting in the generation of campaign configuration data.

[0416] Step 3:

[0417] The server determines ad recipients based on the entered promotional information. It uses a targeting algorithm to select appropriate delivery candidates, thereby creating an ad delivery plan. Campaign configuration data is used as input, and an ad delivery list is generated as output.

[0418] Step 4:

[0419] Once an advertising campaign begins, the server utilizes an emotion analysis engine to analyze user reactions to the ads in real time. Input data includes user behavior patterns and feedback, and output is the emotion analysis results. This allows for dynamic adjustments to the ad content and delivery method.

[0420] Step 5:

[0421] The server processes the payment information for advertising expenses. Here, payment information from the user is input, and communication with an external payment gateway is performed to complete the payment. Data processing includes verification and tokenization of the payment information, and as a result, a payment success notification is output.

[0422] Step 6:

[0423] The server transmits promotional information to the AI ​​agent, which then prioritizes displaying ads for relevant queries. The input is campaign information after payment completion, and the output is a list of applied ad impressions.

[0424] Step 7:

[0425] After an advertising campaign ends, the server analyzes the effectiveness of the ads. The required input data includes clicks and impressions, and the analysis generates an ad performance report. The output is a formalized analysis report.

[0426] Step 8:

[0427] The server displays the generated reports on a dashboard, and users can view the reports on their devices. The analytics reports are used as input, and users can obtain reference data to improve their strategy for the next advertising campaign.

[0428] (Application Example 2)

[0429] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0430] A challenge in online advertising lies in the difficulty of providing personalized ads that align with user interests and responses. Traditional systems are unable to analyze user emotions and interests in real time and dynamically adjust ads, resulting in insufficient advertising effectiveness.

[0431] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0432] In this invention, the server includes means for analyzing and storing information, means for dynamically adjusting the content of advertisements, and means for transmitting and prioritizing campaign information. This enables personalized advertising that reflects the user's real-time emotions.

[0433] An "information processing device" refers to any system equipped with functions for registering, storing, analyzing, and distributing data.

[0434] "Business operator" refers to a corporation or individual that conducts advertising campaigns for products or services.

[0435] "Registration information" refers to a dataset containing the information necessary to conduct an advertising campaign.

[0436] "Advertising campaign information" refers to detailed information about the advertising campaign, such as the content of the advertisement, the target audience, and the duration of the advertisement.

[0437] "Ad distribution destination" refers to the media or platform on which advertisements are displayed.

[0438] "Settlement" refers to the process of completing a financial transaction regarding advertising costs.

[0439] "Analyzing user emotions in real time" means acquiring data on the user's current emotional state and immediately analyzing that data.

[0440] "Dynamically adjusting ad content" means instantly changing ad content based on the results of sentiment analysis to deliver the most optimal content.

[0441] "External systems" refer to other databases or distribution platforms located outside of the information processing device.

[0442] "Analyzing advertising effectiveness" is the process of evaluating how much the delivered advertisements contributed to achieving the goals.

[0443] A "report" is a document that summarizes the performance and effectiveness of an advertisement through analysis.

[0444] In the system that implements this invention, first, the user accesses an information processing device using a dedicated terminal and inputs registration information and advertising campaign information. The server receives this information and securely stores it in a database. Next, the server starts a function to set appropriate advertising destinations based on the received advertising campaign information. When the advertisement is delivered, the server analyzes the user's emotional state in real time through an emotion engine.

[0445] This emotion engine uses a combination of hardware to capture the user's facial expressions and voice, and software to analyze them. Specifically, it collects data using cameras and microphones, and this data is analyzed in real time using software such as OpenCV and the Sentiment Analysis Module. Based on the analysis results, the server dynamically adjusts the ad content and prioritizes displaying ads that match the user's emotions.

[0446] While an advertising campaign is running, the server evaluates the effectiveness of the ads based on ad delivery data and sentiment analysis results, and generates a detailed report. Users can view this report on a dashboard on their device and use it to inform their future advertising strategies.

[0447] As a concrete example, consider the delivery of travel-related advertisements. If a user smiles, the system analyzes that reaction and instantly presents attractive travel offers or special promotions. This is achieved through advanced emotion analysis utilizing visual and audio data.

[0448] An example of an input prompt for a generative AI model is, "If a user smiles after viewing a travel ad, what other offers or suggestions would you think would be effective?" This allows the system to further optimize its suggestion options.

[0449] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0450] Step 1:

[0451] The terminal receives registration information and advertising campaign information from the user. The entered data is sent to the server, which stores it in a database. This input includes user identification information and campaign details, which the server uses to verify data integrity and convert it into a storable format.

[0452] Step 2:

[0453] The server analyzes the received advertising campaign information and prepares it to set up appropriate ad delivery destinations. The data processing performed here is filtering to identify the best delivery destinations for the target audience of the user. The output is stored as a delivery destination list.

[0454] Step 3:

[0455] During ad delivery, the server captures the user's facial expressions and voice through the device's camera and microphone. The input visual and audio data is then sent to software that performs sentiment analysis. The data processing includes a real-time emotion extraction process, and the output is evaluated as the user's emotional state.

[0456] Step 4:

[0457] The server dynamically adjusts ad content based on the results of sentiment analysis. The input sentiment data serves as a criterion for determining which ad content is most appropriate from the accumulated ad content. The output is achieved by displaying the selected ad to the user. In this process, the latest and most appropriate ad content is selected instantly.

[0458] Step 5:

[0459] After an ad is delivered, the server processes the collected data to analyze its effectiveness. Inputs include user response data and click-through rates after delivery, which are used to calculate the ad's success. The results of this data processing are then output to the user's dashboard as an effectiveness-based report.

[0460] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0461] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0462] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0463] [Third Embodiment]

[0464] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0465] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0466] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0467] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0468] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0469] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0470] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0471] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0472] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0473] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0474] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0475] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0476] This invention constructs a platform for businesses to request advertising from AI agents via an information processing device. In this process, the business first accesses the platform using a terminal and enters registration information. The server receives this information and stores it in a database.

[0477] Next, the business uses a terminal to input target users, budget, duration, and ad content to set up the advertising campaign. The server verifies the entered campaign information and saves it to the database. This configures the advertising campaign, enabling ad delivery that meets the business's requirements.

[0478] After the business operator reviews the campaign details, they proceed with the payment process. The server receives payment information from the terminal and processes the payment via the payment gateway. Once the payment is successful, the server updates the campaign status to "active," and the ad is ready to be delivered.

[0479] The server sends active advertising campaign information to the AI ​​agent. Based on this information, the AI ​​agent prioritizes displaying relevant user queries. This expands the reach of ads and streamlines the promotional activities of businesses.

[0480] Furthermore, the server continuously collects ad delivery data and analyzes its effectiveness. The generated analytical data is provided to businesses as a report on a dashboard on their devices. This report includes ad impressions, click-through rates, sales data, etc., which businesses can use to optimize their future marketing strategies.

[0481] As a concrete example, consider a restaurant operator promoting a new seasonal menu. This operator uses this platform to launch a low-budget campaign targeting a specific demographic in a target area. The AI ​​agent prominently displays the operator's advertisement to users searching for restaurants or dining options in that area. The operator can see the results in real time and quickly assess the penetration rate of the new menu.

[0482] The following describes the processing flow.

[0483] Step 1:

[0484] The user accesses the device and enters the required registration information (company name, contact information, password, etc.) on the new registration screen. After entering the information, the device accepts the user's input by clicking the "Register" button.

[0485] Step 2:

[0486] The server receives registration information sent from the terminal and stores that information in the database. It then sends a confirmation message to the user's terminal indicating that registration is complete.

[0487] Step 3:

[0488] The user enters their registered email address and password on the login screen and sends a login request to the server.

[0489] Step 4:

[0490] The server compares the received login information with the database and performs authentication. If authentication is successful, the dashboard screen is displayed on the user's device.

[0491] Step 5:

[0492] The user proceeds from the dashboard to the ad campaign settings and enters campaign details (target, budget, duration, ad content) on their device.

[0493] Step 6:

[0494] The device displays a confirmation screen for the entered campaign information, and after the user confirms that it is correct, it accepts the action of clicking the "Save" button.

[0495] Step 7:

[0496] The server stores the campaign information sent from the terminal in a database and generates a campaign ID.

[0497] Step 8:

[0498] The user reviews the advertising costs on the payment screen, enters their payment information (such as credit card information), and clicks the "Pay" button.

[0499] Step 9:

[0500] The server works with the payment gateway to process the entered payment information and verify the success or failure of the payment. If the payment is completed, the campaign status is updated to "Active".

[0501] Step 10:

[0502] The server sends active advertising campaign information to an external AI agent system.

[0503] Step 11:

[0504] The AI ​​agent uses the received advertising information to prioritize and present advertisements to relevant user queries, and then returns the results to the server.

[0505] Step 12:

[0506] The server collects and analyzes ad delivery data (such as impressions and click-through rates). Based on this analysis, it generates reports and displays them as dashboards on the device.

[0507] Step 13:

[0508] Users can view reports on the dashboard, evaluate the effectiveness of their ads, and use that information to inform their future campaign strategies.

[0509] (Example 1)

[0510] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0511] In today's digital advertising environment, efficiently and effectively delivering advertisements and accurately measuring their results is challenging. This is especially true for small and medium-sized businesses, which have limited budgets and fewer options for reaching the right target audience, as well as difficulty measuring effectiveness and using that information to improve future campaigns. To address these challenges, a comprehensive system is needed that seamlessly handles everything from ad setup and delivery to performance analysis.

[0512] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0513] In this invention, the server includes means for users to input registration information and store it in a storage medium, means for setting advertising destinations based on the input advertising activity plan information, and means for transferring the advertising activity plan information to an external processing system and presenting advertisements with increased importance. This makes it easier for businesses to manage advertising campaigns and measure their effectiveness in real time using a generative AI model.

[0514] "User" refers to businesses or individuals who register or configure advertising campaigns through the system.

[0515] "Registration information" refers to basic information about the user and is data necessary for account creation and authentication.

[0516] "Advertising activity plan information" refers to detailed setting information including the objectives, content, target audience, budget, and duration of an advertising campaign.

[0517] A "storage medium" is a digital storage technology that stores input data for the long term, allowing it to be referenced and modified within the system.

[0518] An "external processing system" is an external platform or service that is not part of the system itself, but supports the distribution of advertising information and the measurement of its effectiveness.

[0519] "Ad target audience" refers to the viewers or potential customers targeted by a set advertising campaign.

[0520] A "generative AI model" is an artificial intelligence technology used to optimize advertising campaigns and prioritize the display of relevant queries.

[0521] A "dashboard" is an interface that visually displays the effectiveness of advertisements and the progress of campaigns, allowing users to intuitively grasp the information.

[0522] This invention is an information processing system that streamlines the management and effectiveness measurement of advertising campaigns. Specific embodiments are described below.

[0523] Users access the system via a terminal and enter their registration information. These terminals include typical personal computers and smartphones, and can be operated through a dedicated application or web browser. Users pre-enter their user information, and this data is stored in a database by the server.

[0524] Next, the user enters advertising activity plan information using their device. This includes the target user group, advertising budget, duration, and ad content. This information is necessary for effective ad delivery and is saved to a database by the server after input.

[0525] Once an advertising campaign is set up, the server utilizes a generative AI model to prioritize the display of relevant user queries. This generative AI model supports target selection and optimization of ad delivery based on user input data. Furthermore, the server collaborates with external processing systems to continuously monitor ad delivery procedures and their effectiveness.

[0526] Once an ad is delivered, the server analyzes its effectiveness and compiles the results into a report. This report is provided to the user in real time via a dashboard on their device and includes various data such as ad impressions, click-through rates, and sales. Based on this information, users can optimize their future advertising strategies.

[0527] As a concrete example, consider a restaurant promoting a new menu item. The user inputs a prompt message such as "We are launching a campaign to introduce our new seasonal menu" into an AI model, enabling effective advertising to target users. Through this process, high advertising effectiveness can be achieved at a low cost.

[0528] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0529] Step 1:

[0530] Users access the system using a terminal and enter registration information. This information includes user name, contact information, and company information. This information is sent from the terminal to the server, which verifies the received data and, if correct, stores it in the database. This creates a user account and grants access to the system.

[0531] Step 2:

[0532] The user enters advertising activity plan information via their device. This information includes the target audience, advertising budget, campaign duration, and ad content. The device sends this input data to the server, which verifies the received data accurately. The server stores the properly formatted data in a database, and the advertising campaign setup is complete.

[0533] Step 3:

[0534] The server utilizes a generated AI model based on stored advertising activity plan information to determine the priority of ads for relevant user queries. Specifically, the AI ​​model analyzes user input data and generates a delivery strategy suitable for the target audience. As a result, a list of ad destinations is generated, ready to be displayed preferentially for relevant queries.

[0535] Step 4:

[0536] Once the server is ready to launch advertising campaigns, it collaborates with an external processing system to deliver the ads. During the delivery process, ads are presented with high priority to target user segments selected by a generative AI model. This improves ad reach and enables more efficient promotion.

[0537] Step 5:

[0538] The server continuously collects data after ad delivery and analyzes its effectiveness. Specifically, it analyzes data such as impressions, click-through rates, and conversion rates to quantitatively evaluate the success of the advertising campaign. This data is compiled as analysis results and displayed on a dashboard that is updated in real time.

[0539] Step 6:

[0540] Users access the dashboard via their devices to check the effectiveness of their advertising campaigns. The reports provided include summaries and visualized results of the collected data. Based on this, users can adjust their next advertising strategy and conduct more effective promotional activities.

[0541] (Application Example 1)

[0542] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0543] In recent years, businesses have been strongly urged to improve the efficiency and accuracy of their advertising activities. However, optimizing advertising strategies and analyzing delivery effectiveness in real time presents significant challenges in terms of time and cost. This is especially difficult for small businesses, which often struggle to carry out these processes quickly and effectively. Therefore, there is a need for a new system that efficiently and effectively manages advertising campaigns, provides a visual understanding of their delivery effectiveness, and delivers timely reports and strategic proposals tailored to the business's needs.

[0544] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0545] In this invention, the server includes means for an entity to input and store registration information; means for an entity to input and confirm advertising project information; means for setting advertising distribution destinations based on the input advertising project information; means for receiving and settling information regarding the payment of advertising funds; means for transmitting advertising project information to an external system and displaying advertisements preferentially; means for analyzing the results of advertising distribution and generating a report; and means for notifying the entity of the report content and making suggestions for adjusting the advertising strategy. This enables the entity to efficiently manage its advertising strategy, quickly grasp the results, and make improvements.

[0546] A "business entity" refers to a corporation or sole proprietorship that wants to efficiently manage and optimize its advertising activities.

[0547] "Registration information" refers to the basic information that a business entity enters into the platform as an initial setup, and is stored in the database necessary for operation.

[0548] "Advertising project information" refers to planning information that specifically outlines the target audience, budget, content, and duration of an advertising campaign.

[0549] "Ad delivery destinations" refer to specific recipients or channels on which advertisements are displayed, and are selected based on conditions set by the business entity.

[0550] "Advertising funds" refer to the budget or expenses that a business entity prepares for the purpose of implementing an advertising campaign.

[0551] "Settlement" refers to the process of processing advertising campaign costs based on payment information provided by the business entity.

[0552] "External systems" refer to other online services or networks connected to the platform for the purpose of delivering advertisements outside of the platform.

[0553] "Ad delivery results" refer to data that shows the effects and impacts obtained after an advertising campaign has been implemented, and serve as the basis for analysis and reporting.

[0554] A "report" is a document or display that visualizes the results of an advertising campaign, and serves as basic information for a business entity when considering its future strategies.

[0555] A "strategic proposal" is advice and guidance provided to a business entity based on the results of its advertising campaigns, outlining the next advertising methods to be implemented and areas for improvement.

[0556] The system for implementing this invention aims to efficiently manage advertising activities. The system is accessed by a business entity using a terminal to input and store registration information. This terminal may be a personal computer or a mobile device. The registration information is stored in a database and managed by a server.

[0557] When a business entity enters advertising project information, target users, budget, and ad content are entered via a terminal. This information is retrieved by a server, analyzed, and then the ad delivery destinations are set. For advertising payments, the server receives the payment information entered on the terminal and processes it via an external payment gateway.

[0558] Once an advertising campaign begins, the server sends advertising project information to an external system, and an AI agent prioritizes displaying the ads. Machine learning algorithms are used in this process. The collected ad delivery results are analyzed by the server and provided as a report on a display screen accessible to the business entity.

[0559] As a concrete example, a local bookstore might want to run an advertising campaign for a new book fair. The bookstore would target local book lovers and start the campaign with a small budget. An AI agent would display the bookstore's advertisement to people in the local area who are interested in reading, promoting the fair information. As a result, interest in new books would increase, and the number of customers visiting the bookstore would rise.

[0560] An example of a prompt to the generating AI model is: "A local bookstore wants to run an advertising campaign for a new book fair through a smartphone app. The target audience is local residents, especially avid readers. Please suggest the optimal advertising strategy."

[0561] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0562] Step 1:

[0563] The user accesses the system using a terminal and enters registration information. The user fills in their basic information in the form and presses the submit button. This information is sent to the server and stored in the database.

[0564] Step 2:

[0565] The user enters advertising project information from their device. The user sets the advertising details, target audience, budget, and duration. This information is sent to the server, where its validity is verified. Simultaneously, it is stored in the database.

[0566] Step 3:

[0567] The server selects ad delivery destinations based on the entered ad project information. The server analyzes the accumulated data and uses an optimization algorithm to determine the target audience. The selected delivery destination information is managed within the server.

[0568] Step 4:

[0569] The user enters their advertising payment information on their device. The user fills in the payment information on the form and executes the payment process. The server receives this information and approves the payment using an external payment gateway. The approval result is fed back to the user in real time by the server.

[0570] Step 5:

[0571] When an advertising campaign begins, the server sends advertising project information to an external system. The advertising information is then forwarded to an AI agent and displayed preferentially. The AI ​​agent uses a generative AI model to perform more effective ad placement.

[0572] Step 6:

[0573] The server continuously collects and analyzes the results of ad delivery. From the collected data, the server calculates metrics such as click-through rates and conversion rates to evaluate ad effectiveness. These analysis results are generated as reports and stored in a database.

[0574] Step 7:

[0575] The server provides the analysis results as a report to the user's device. The user accesses the dashboard using their device to visually check the progress and success of the advertising campaign. The report also presents suggestions for adjusting future advertising strategies using a generative AI model.

[0576] Through this process, the system provides users with efficient and effective advertising management.

[0577] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0578] This invention provides a system for businesses to effectively and efficiently conduct advertising campaigns using an online platform. This system encompasses user registration and authentication, advertising campaign setup, advertising cost payment, AI agent-driven ad delivery, and analysis and report generation of advertising effectiveness.

[0579] First, the user accesses the system using a device and enters initial registration information. This allows the server to save the registration information to a database and complete the user authentication process. Next, the user enters and confirms details of their advertising campaign and sends this information to the server. Based on the received campaign information, the server provides the functionality to set appropriate ad delivery destinations.

[0580] Furthermore, the system integrates an emotion engine that can analyze user emotions. This emotion engine analyzes user responses to advertisements in real time and dynamically adjusts the content and targeting of advertisements based on the results. This optimizes the effectiveness of advertisements and provides a more personalized advertising experience.

[0581] Once an advertising campaign begins, the server manages the payment process and sends payment information to the payment gateway. After confirming successful payment, the server sends the campaign information to an external system, namely an AI agent. Based on this information, the AI ​​agent prioritizes displaying ads for relevant queries, taking into account the results of user sentiment analysis.

[0582] After an ad is delivered, the server analyzes its performance based on the collected data. It also incorporates the results of the sentiment engine analysis to comprehensively evaluate the effectiveness of the ad campaign. The generated report is provided to the user on a dashboard on their device, allowing them to use it to modify and improve their future advertising strategy.

[0583] For example, if a travel agency is creating an advertisement for a new package tour, this system allows the user to easily set up an advertising campaign targeting their desired market. The emotion engine analyzes the emotional response of potential customers when they see the advertisement and makes real-time adjustments to the ad based on that analysis. As a result, the travel agency can offer competitive and attractive proposals at the right time and in the right circumstances.

[0584] The following describes the processing flow.

[0585] Step 1:

[0586] The user accesses the system's website using their device and enters initial registration information such as company information, contact person's name, contact email address, and password on the account registration screen.

[0587] Step 2:

[0588] After pressing the "Register" button, the device sends registration information to the server. The server receives this information, stores it in its database, and sends a registration completion confirmation message back to the device.

[0589] Step 3:

[0590] The user logs into the dashboard and navigates to the ad campaign settings screen. Here, they enter the target customer profile, ad duration, budget, and ad content.

[0591] Step 4:

[0592] The terminal sends the entered campaign information to the server. The server saves the information in its database and displays a screen on the terminal indicating that the campaign setup is complete.

[0593] Step 5:

[0594] Users can enable the option to apply user sentiment analysis to their ad campaigns by selecting and activating the sentiment engine settings.

[0595] Step 6:

[0596] Once the campaign is ready, users will be directed to the payment screen, where they will review the advertising costs and enter their payment information using a credit card or other payment method.

[0597] Step 7:

[0598] The server receives the payment information, processes the payment via the payment gateway, and sends a success notification to the terminal. The campaign status is updated to "Active".

[0599] Step 8:

[0600] The server sends active campaign information to an external AI agent system and sets up the ad delivery destinations.

[0601] Step 9:

[0602] The AI ​​agent analyzes the user's emotions through an emotion engine, generates emotionally relevant ads, and displays them preferentially based on those ads.

[0603] Step 10:

[0604] The server collects user response data to the displayed advertisements and analyzes it together with sentiment data obtained from the sentiment engine.

[0605] Step 11:

[0606] The server generates an advertising performance report from the collected data and displays the results to the user on a dashboard on their device.

[0607] Step 12:

[0608] Users can review the performance of their advertising campaigns on the dashboard and modify their campaign strategies and settings as needed.

[0609] (Example 2)

[0610] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0611] Traditionally, online advertising campaigns have faced challenges in delivering effective and efficient ads, as well as personalizing them to meet individual user needs. Furthermore, accurately measuring the effectiveness of ad delivery and optimizing ad content in real time has been difficult. As a result, many advertising campaigns have failed to achieve the expected results.

[0612] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0613] In this invention, the server includes means for analyzing the user's emotions and dynamically adjusting the advertising content, means for transmitting promotional information to an external processing device and prioritizing the presentation of advertisements, and means for analyzing the effectiveness of advertisement delivery and generating a report. This makes it possible to deliver personalized advertisements that respond to the user's emotions and reactions while enhancing the effectiveness of advertisement delivery.

[0614] An "information processing system" is a device or combination of devices for collecting, storing, and processing digital information and outputting it according to a specific purpose.

[0615] A "user" is an individual or organization that operates the information processing system and inputs registration data and promotional information.

[0616] "Registration data" refers to the basic information that users provide to the information processing system for authentication and identification purposes.

[0617] "Promotional information" refers to detailed information related to an advertising campaign, including target audience, budget, and delivery period.

[0618] "Advertising destinations" refer to the locations or groups to which advertisements are delivered, selected based on specific conditions or targeting criteria.

[0619] "Advertising expenses" are expenditures incurred in connection with an advertising campaign and are subject to budgeting and payment procedures.

[0620] An "external processing device" is a device or system located outside of an information processing system but which works in conjunction with it to process data and promotional information.

[0621] "Advertising effectiveness" refers to metrics that show the results achieved by an advertising campaign in relation to its target outcomes, and includes metrics such as click-through rates and conversion rates.

[0622] "Sentiment analysis" is a technology that analyzes user reactions and feedback to infer emotions and intentions, and is used to optimize advertising content.

[0623] A "report" is a document that summarizes the results of an analysis of the effectiveness of advertising, providing users with information to develop their next strategies.

[0624] This invention relates to an information processing system for optimizing the effectiveness of advertising campaigns. This system operates via an online platform, sets up advertising campaigns based on user input, and analyzes their results in real time.

[0625] Users access the platform using their devices and enter registration data. This registration data is stored in a database by the server and used for user authentication. Users then enter promotional information necessary for their advertising campaign (e.g., target market, delivery period, budget information). The server receives this information and configures it appropriately.

[0626] After an advertising campaign begins, the server uses a sentiment analysis engine to analyze user responses in real time. This analysis allows for dynamic adjustments to the ad content and delivery method as needed, enabling optimal messaging to the target market.

[0627] The server also works with the payment gateway to manage advertising expenses and process payments appropriately. Once a payment is successful, the server sends promotional information to an external processing unit, and an AI agent uses this information to prioritize ad delivery for relevant queries.

[0628] After an advertising campaign ends, the server evaluates the effectiveness of the ad delivery based on the acquired data. This includes multiple metrics such as clicks, impressions, and conversion rates. The final report is provided through a dashboard on the user's device, which the user can analyze to inform their next campaign strategy.

[0629] For example, when a user sets up an advertising campaign for a new product, this system can quickly and effectively adjust the campaign to suit the target market. An example of a prompt that can be input into the generating AI model is a command such as, "Please provide a strategy to maximize the effectiveness of the advertising campaign for our new product."

[0630] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0631] Step 1:

[0632] Users access the online platform using their devices and enter registration data. This data includes username, email address, and password. Based on this information, the server recognizes the user and stores the data in a database. This process involves data integrity checks and encryption, resulting in the generation of user authentication information.

[0633] Step 2:

[0634] Users input promotional information for advertising campaigns from their devices. Specifically, they input information such as the target audience, ad content, budget, and delivery period. The server receives this information, structures the data, and stores it in a database. This storage process involves data format conversion, resulting in the generation of campaign configuration data.

[0635] Step 3:

[0636] The server determines ad recipients based on the entered promotional information. It uses a targeting algorithm to select appropriate delivery candidates, thereby creating an ad delivery plan. Campaign configuration data is used as input, and an ad delivery list is generated as output.

[0637] Step 4:

[0638] Once an advertising campaign begins, the server utilizes an emotion analysis engine to analyze user reactions to the ads in real time. Input data includes user behavior patterns and feedback, and output is the emotion analysis results. This allows for dynamic adjustments to the ad content and delivery method.

[0639] Step 5:

[0640] The server processes the payment information for advertising expenses. Here, payment information from the user is input, and communication with an external payment gateway is performed to complete the payment. Data processing includes verification and tokenization of the payment information, and as a result, a payment success notification is output.

[0641] Step 6:

[0642] The server transmits promotional information to the AI ​​agent, which then prioritizes displaying ads for relevant queries. The input is campaign information after payment completion, and the output is a list of applied ad impressions.

[0643] Step 7:

[0644] After an advertising campaign ends, the server analyzes the effectiveness of the ads. The required input data includes clicks and impressions, and the analysis generates an ad performance report. The output is a formalized analysis report.

[0645] Step 8:

[0646] The server displays the generated reports on a dashboard, and users can view the reports on their devices. The analytics reports are used as input, and users can obtain reference data to improve their strategy for the next advertising campaign.

[0647] (Application Example 2)

[0648] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0649] A challenge in online advertising lies in the difficulty of providing personalized ads that align with user interests and responses. Traditional systems are unable to analyze user emotions and interests in real time and dynamically adjust ads, resulting in insufficient advertising effectiveness.

[0650] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0651] In this invention, the server includes means for analyzing and storing information, means for dynamically adjusting the content of advertisements, and means for transmitting and prioritizing campaign information. This enables personalized advertising that reflects the user's real-time emotions.

[0652] An "information processing device" refers to any system equipped with functions for registering, storing, analyzing, and distributing data.

[0653] "Business operator" refers to a corporation or individual that conducts advertising campaigns for products or services.

[0654] "Registration information" refers to a dataset containing the information necessary to conduct an advertising campaign.

[0655] "Advertising campaign information" refers to detailed information about the advertising campaign, such as the content of the advertisement, the target audience, and the duration of the advertisement.

[0656] "Ad distribution destination" refers to the media or platform on which advertisements are displayed.

[0657] "Settlement" refers to the process of completing a financial transaction regarding advertising costs.

[0658] "Analyzing user emotions in real time" means acquiring data on the user's current emotional state and immediately analyzing that data.

[0659] "Dynamically adjusting ad content" means instantly changing ad content based on the results of sentiment analysis to deliver the most optimal content.

[0660] "External systems" refer to other databases or distribution platforms located outside of the information processing device.

[0661] "Analyzing advertising effectiveness" is the process of evaluating how much the delivered advertisements contributed to achieving the goals.

[0662] A "report" is a document that summarizes the performance and effectiveness of an advertisement through analysis.

[0663] In the system that implements this invention, first, the user accesses an information processing device using a dedicated terminal and inputs registration information and advertising campaign information. The server receives this information and securely stores it in a database. Next, the server starts a function to set appropriate advertising destinations based on the received advertising campaign information. When the advertisement is delivered, the server analyzes the user's emotional state in real time through an emotion engine.

[0664] This emotion engine uses a combination of hardware to capture the user's facial expressions and voice, and software to analyze them. Specifically, it collects data using cameras and microphones, and this data is analyzed in real time using software such as OpenCV and the Sentiment Analysis Module. Based on the analysis results, the server dynamically adjusts the ad content and prioritizes displaying ads that match the user's emotions.

[0665] While an advertising campaign is running, the server evaluates the effectiveness of the ads based on ad delivery data and sentiment analysis results, and generates a detailed report. Users can view this report on a dashboard on their device and use it to inform their future advertising strategies.

[0666] As a concrete example, consider the delivery of travel-related advertisements. If a user smiles, the system analyzes that reaction and instantly presents attractive travel offers or special promotions. This is achieved through advanced emotion analysis utilizing visual and audio data.

[0667] An example of an input prompt for a generative AI model is, "If a user smiles after viewing a travel ad, what other offers or suggestions would you think would be effective?" This allows the system to further optimize its suggestion options.

[0668] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0669] Step 1:

[0670] The terminal receives registration information and advertising campaign information from the user. The entered data is sent to the server, which stores it in a database. This input includes user identification information and campaign details, which the server uses to verify data integrity and convert it into a storable format.

[0671] Step 2:

[0672] The server analyzes the received advertising campaign information and prepares it to set up appropriate ad delivery destinations. The data processing performed here is filtering to identify the best delivery destinations for the target audience of the user. The output is stored as a delivery destination list.

[0673] Step 3:

[0674] During ad delivery, the server captures the user's facial expressions and voice through the device's camera and microphone. The input visual and audio data is then sent to software that performs sentiment analysis. The data processing includes a real-time emotion extraction process, and the output is evaluated as the user's emotional state.

[0675] Step 4:

[0676] The server dynamically adjusts ad content based on the results of sentiment analysis. The input sentiment data serves as a criterion for determining which ad content is most appropriate from the accumulated ad content. The output is achieved by displaying the selected ad to the user. In this process, the latest and most appropriate ad content is selected instantly.

[0677] Step 5:

[0678] After an ad is delivered, the server processes the collected data to analyze its effectiveness. Inputs include user response data and click-through rates after delivery, which are used to calculate the ad's success. The results of this data processing are then output to the user's dashboard as an effectiveness-based report.

[0679] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0680] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0681] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0682] [Fourth Embodiment]

[0683] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0684] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0685] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0686] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0687] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0688] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0689] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0690] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0691] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0692] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0693] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0694] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0695] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0696] This invention constructs a platform for businesses to request advertising from AI agents via an information processing device. In this process, the business first accesses the platform using a terminal and enters registration information. The server receives this information and stores it in a database.

[0697] Next, the business uses a terminal to input target users, budget, duration, and ad content to set up the advertising campaign. The server verifies the entered campaign information and saves it to the database. This configures the advertising campaign, enabling ad delivery that meets the business's requirements.

[0698] After the business operator reviews the campaign details, they proceed with the payment process. The server receives payment information from the terminal and processes the payment via the payment gateway. Once the payment is successful, the server updates the campaign status to "active," and the ad is ready to be delivered.

[0699] The server sends active advertising campaign information to the AI ​​agent. Based on this information, the AI ​​agent prioritizes displaying relevant user queries. This expands the reach of ads and streamlines the promotional activities of businesses.

[0700] Furthermore, the server continuously collects ad delivery data and analyzes its effectiveness. The generated analytical data is provided to businesses as a report on a dashboard on their devices. This report includes ad impressions, click-through rates, sales data, etc., which businesses can use to optimize their future marketing strategies.

[0701] As a concrete example, consider a restaurant operator promoting a new seasonal menu. This operator uses this platform to launch a low-budget campaign targeting a specific demographic in a target area. The AI ​​agent prominently displays the operator's advertisement to users searching for restaurants or dining options in that area. The operator can see the results in real time and quickly assess the penetration rate of the new menu.

[0702] The following describes the processing flow.

[0703] Step 1:

[0704] The user accesses the device and enters the required registration information (company name, contact information, password, etc.) on the new registration screen. After entering the information, the device accepts the user's input by clicking the "Register" button.

[0705] Step 2:

[0706] The server receives registration information sent from the terminal and stores that information in the database. It then sends a confirmation message to the user's terminal indicating that registration is complete.

[0707] Step 3:

[0708] The user enters their registered email address and password on the login screen and sends a login request to the server.

[0709] Step 4:

[0710] The server compares the received login information with the database and performs authentication. If authentication is successful, the dashboard screen is displayed on the user's device.

[0711] Step 5:

[0712] The user proceeds from the dashboard to the ad campaign settings and enters campaign details (target, budget, duration, ad content) on their device.

[0713] Step 6:

[0714] The device displays a confirmation screen for the entered campaign information, and after the user confirms that it is correct, it accepts the action of clicking the "Save" button.

[0715] Step 7:

[0716] The server stores the campaign information sent from the terminal in a database and generates a campaign ID.

[0717] Step 8:

[0718] The user reviews the advertising costs on the payment screen, enters their payment information (such as credit card information), and clicks the "Pay" button.

[0719] Step 9:

[0720] The server works with the payment gateway to process the entered payment information and verify the success or failure of the payment. If the payment is completed, the campaign status is updated to "Active".

[0721] Step 10:

[0722] The server sends active advertising campaign information to an external AI agent system.

[0723] Step 11:

[0724] The AI ​​agent uses the received advertising information to prioritize and present advertisements to relevant user queries, and then returns the results to the server.

[0725] Step 12:

[0726] The server collects and analyzes ad delivery data (such as impressions and click-through rates). Based on this analysis, it generates reports and displays them as dashboards on the device.

[0727] Step 13:

[0728] Users can view reports on the dashboard, evaluate the effectiveness of their ads, and use that information to inform their future campaign strategies.

[0729] (Example 1)

[0730] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0731] In today's digital advertising environment, efficiently and effectively delivering advertisements and accurately measuring their results is challenging. This is especially true for small and medium-sized businesses, which have limited budgets and fewer options for reaching the right target audience, as well as difficulty measuring effectiveness and using that information to improve future campaigns. To address these challenges, a comprehensive system is needed that seamlessly handles everything from ad setup and delivery to performance analysis.

[0732] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0733] In this invention, the server includes means for users to input registration information and store it in a storage medium, means for setting advertising destinations based on the input advertising activity plan information, and means for transferring the advertising activity plan information to an external processing system and presenting advertisements with increased importance. This makes it easier for businesses to manage advertising campaigns and measure their effectiveness in real time using a generative AI model.

[0734] "User" refers to businesses or individuals who register or configure advertising campaigns through the system.

[0735] "Registration information" refers to basic information about the user and is data necessary for account creation and authentication.

[0736] "Advertising activity plan information" refers to detailed setting information including the objectives, content, target audience, budget, and duration of an advertising campaign.

[0737] A "storage medium" is a digital storage technology that stores input data for the long term, allowing it to be referenced and modified within the system.

[0738] An "external processing system" is an external platform or service that is not part of the system itself, but supports the distribution of advertising information and the measurement of its effectiveness.

[0739] "Ad target audience" refers to the viewers or potential customers targeted by a set advertising campaign.

[0740] A "generative AI model" is an artificial intelligence technology used to optimize advertising campaigns and prioritize the display of relevant queries.

[0741] A "dashboard" is an interface that visually displays the effectiveness of advertisements and the progress of campaigns, allowing users to intuitively grasp the information.

[0742] This invention is an information processing system that streamlines the management and effectiveness measurement of advertising campaigns. Specific embodiments are described below.

[0743] Users access the system via a terminal and enter their registration information. These terminals include typical personal computers and smartphones, and can be operated through a dedicated application or web browser. Users pre-enter their user information, and this data is stored in a database by the server.

[0744] Next, the user enters advertising activity plan information using their device. This includes the target user group, advertising budget, duration, and ad content. This information is necessary for effective ad delivery and is saved to a database by the server after input.

[0745] Once an advertising campaign is set up, the server utilizes a generative AI model to prioritize the display of relevant user queries. This generative AI model supports target selection and optimization of ad delivery based on user input data. Furthermore, the server collaborates with external processing systems to continuously monitor ad delivery procedures and their effectiveness.

[0746] Once an ad is delivered, the server analyzes its effectiveness and compiles the results into a report. This report is provided to the user in real time via a dashboard on their device and includes various data such as ad impressions, click-through rates, and sales. Based on this information, users can optimize their future advertising strategies.

[0747] As a concrete example, consider a restaurant promoting a new menu item. The user inputs a prompt message such as "We are launching a campaign to introduce our new seasonal menu" into an AI model, enabling effective advertising to target users. Through this process, high advertising effectiveness can be achieved at a low cost.

[0748] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0749] Step 1:

[0750] Users access the system using a terminal and enter registration information. This information includes user name, contact information, and company information. This information is sent from the terminal to the server, which verifies the received data and, if correct, stores it in the database. This creates a user account and grants access to the system.

[0751] Step 2:

[0752] The user enters advertising activity plan information via their device. This information includes the target audience, advertising budget, campaign duration, and ad content. The device sends this input data to the server, which verifies the received data accurately. The server stores the properly formatted data in a database, and the advertising campaign setup is complete.

[0753] Step 3:

[0754] The server utilizes a generated AI model based on stored advertising activity plan information to determine the priority of ads for relevant user queries. Specifically, the AI ​​model analyzes user input data and generates a delivery strategy suitable for the target audience. As a result, a list of ad destinations is generated, ready to be displayed preferentially for relevant queries.

[0755] Step 4:

[0756] Once the server is ready to launch advertising campaigns, it collaborates with an external processing system to deliver the ads. During the delivery process, ads are presented with high priority to target user segments selected by a generative AI model. This improves ad reach and enables more efficient promotion.

[0757] Step 5:

[0758] The server continuously collects data after ad delivery and analyzes its effectiveness. Specifically, it analyzes data such as impressions, click-through rates, and conversion rates to quantitatively evaluate the success of the advertising campaign. This data is compiled as analysis results and displayed on a dashboard that is updated in real time.

[0759] Step 6:

[0760] Users access the dashboard via their devices to check the effectiveness of their advertising campaigns. The reports provided include summaries and visualized results of the collected data. Based on this, users can adjust their next advertising strategy and conduct more effective promotional activities.

[0761] (Application Example 1)

[0762] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0763] In recent years, businesses have been strongly urged to improve the efficiency and accuracy of their advertising activities. However, optimizing advertising strategies and analyzing delivery effectiveness in real time presents significant challenges in terms of time and cost. This is especially difficult for small businesses, which often struggle to carry out these processes quickly and effectively. Therefore, there is a need for a new system that efficiently and effectively manages advertising campaigns, provides a visual understanding of their delivery effectiveness, and delivers timely reports and strategic proposals tailored to the business's needs.

[0764] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0765] In this invention, the server includes means for an entity to input and store registration information; means for an entity to input and confirm advertising project information; means for setting advertising distribution destinations based on the input advertising project information; means for receiving and settling information regarding the payment of advertising funds; means for transmitting advertising project information to an external system and displaying advertisements preferentially; means for analyzing the results of advertising distribution and generating a report; and means for notifying the entity of the report content and making suggestions for adjusting the advertising strategy. This enables the entity to efficiently manage its advertising strategy, quickly grasp the results, and make improvements.

[0766] A "business entity" refers to a corporation or sole proprietorship that wants to efficiently manage and optimize its advertising activities.

[0767] "Registration information" refers to the basic information that a business entity enters into the platform as an initial setup, and is stored in the database necessary for operation.

[0768] "Advertising project information" refers to planning information that specifically outlines the target audience, budget, content, and duration of an advertising campaign.

[0769] "Ad delivery destinations" refer to specific recipients or channels on which advertisements are displayed, and are selected based on conditions set by the business entity.

[0770] "Advertising funds" refer to the budget or expenses that a business entity prepares for the purpose of implementing an advertising campaign.

[0771] "Settlement" refers to the process of processing advertising campaign costs based on payment information provided by the business entity.

[0772] "External systems" refer to other online services or networks connected to the platform for the purpose of delivering advertisements outside of the platform.

[0773] "Ad delivery results" refer to data that shows the effects and impacts obtained after an advertising campaign has been implemented, and serve as the basis for analysis and reporting.

[0774] A "report" is a document or display that visualizes the results of an advertising campaign, and serves as basic information for a business entity when considering its future strategies.

[0775] A "strategic proposal" is advice and guidance provided to a business entity based on the results of its advertising campaigns, outlining the next advertising methods to be implemented and areas for improvement.

[0776] The system for implementing this invention aims to efficiently manage advertising activities. The system is accessed by a business entity using a terminal to input and store registration information. This terminal may be a personal computer or a mobile device. The registration information is stored in a database and managed by a server.

[0777] When a business entity enters advertising project information, target users, budget, and ad content are entered via a terminal. This information is retrieved by a server, analyzed, and then the ad delivery destinations are set. For advertising payments, the server receives the payment information entered on the terminal and processes it via an external payment gateway.

[0778] Once an advertising campaign begins, the server sends advertising project information to an external system, and an AI agent prioritizes displaying the ads. Machine learning algorithms are used in this process. The collected ad delivery results are analyzed by the server and provided as a report on a display screen accessible to the business entity.

[0779] As a concrete example, a local bookstore might want to run an advertising campaign for a new book fair. The bookstore would target local book lovers and start the campaign with a small budget. An AI agent would display the bookstore's advertisement to people in the local area who are interested in reading, promoting the fair information. As a result, interest in new books would increase, and the number of customers visiting the bookstore would rise.

[0780] An example of a prompt to the generating AI model is: "A local bookstore wants to run an advertising campaign for a new book fair through a smartphone app. The target audience is local residents, especially avid readers. Please suggest the optimal advertising strategy."

[0781] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0782] Step 1:

[0783] The user accesses the system using a terminal and enters registration information. The user fills in their basic information in the form and presses the submit button. This information is sent to the server and stored in the database.

[0784] Step 2:

[0785] The user enters advertising project information from their device. The user sets the advertising details, target audience, budget, and duration. This information is sent to the server, where its validity is verified. Simultaneously, it is stored in the database.

[0786] Step 3:

[0787] The server selects ad delivery destinations based on the entered ad project information. The server analyzes the accumulated data and uses an optimization algorithm to determine the target audience. The selected delivery destination information is managed within the server.

[0788] Step 4:

[0789] The user enters their advertising payment information on their device. The user fills in the payment information on the form and executes the payment process. The server receives this information and approves the payment using an external payment gateway. The approval result is fed back to the user in real time by the server.

[0790] Step 5:

[0791] When an advertising campaign begins, the server sends advertising project information to an external system. The advertising information is then forwarded to an AI agent and displayed preferentially. The AI ​​agent uses a generative AI model to perform more effective ad placement.

[0792] Step 6:

[0793] The server continuously collects and analyzes the results of ad delivery. From the collected data, the server calculates metrics such as click-through rates and conversion rates to evaluate ad effectiveness. These analysis results are generated as reports and stored in a database.

[0794] Step 7:

[0795] The server provides the analysis results as a report to the user's device. The user accesses the dashboard using their device to visually check the progress and success of the advertising campaign. The report also presents suggestions for adjusting future advertising strategies using a generative AI model.

[0796] Through this process, the system provides users with efficient and effective advertising management.

[0797] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0798] This invention provides a system for businesses to effectively and efficiently conduct advertising campaigns using an online platform. This system encompasses user registration and authentication, advertising campaign setup, advertising cost payment, AI agent-driven ad delivery, and analysis and report generation of advertising effectiveness.

[0799] First, the user accesses the system using a device and enters initial registration information. This allows the server to save the registration information to a database and complete the user authentication process. Next, the user enters and confirms details of their advertising campaign and sends this information to the server. Based on the received campaign information, the server provides the functionality to set appropriate ad delivery destinations.

[0800] Furthermore, the system integrates an emotion engine that can analyze user emotions. This emotion engine analyzes user responses to advertisements in real time and dynamically adjusts the content and targeting of advertisements based on the results. This optimizes the effectiveness of advertisements and provides a more personalized advertising experience.

[0801] Once an advertising campaign begins, the server manages the payment process and sends payment information to the payment gateway. After confirming successful payment, the server sends the campaign information to an external system, namely an AI agent. Based on this information, the AI ​​agent prioritizes displaying ads for relevant queries, taking into account the results of user sentiment analysis.

[0802] After an ad is delivered, the server analyzes its performance based on the collected data. It also incorporates the results of the sentiment engine analysis to comprehensively evaluate the effectiveness of the ad campaign. The generated report is provided to the user on a dashboard on their device, allowing them to use it to modify and improve their future advertising strategy.

[0803] For example, if a travel agency is creating an advertisement for a new package tour, this system allows the user to easily set up an advertising campaign targeting their desired market. The emotion engine analyzes the emotional response of potential customers when they see the advertisement and makes real-time adjustments to the ad based on that analysis. As a result, the travel agency can offer competitive and attractive proposals at the right time and in the right circumstances.

[0804] The following describes the processing flow.

[0805] Step 1:

[0806] The user accesses the system's website using their device and enters initial registration information such as company information, contact person's name, contact email address, and password on the account registration screen.

[0807] Step 2:

[0808] After pressing the "Register" button, the device sends registration information to the server. The server receives this information, stores it in its database, and sends a registration completion confirmation message back to the device.

[0809] Step 3:

[0810] The user logs into the dashboard and navigates to the ad campaign settings screen. Here, they enter the target customer profile, ad duration, budget, and ad content.

[0811] Step 4:

[0812] The terminal sends the entered campaign information to the server. The server saves the information in its database and displays a screen on the terminal indicating that the campaign setup is complete.

[0813] Step 5:

[0814] Users can enable the option to apply user sentiment analysis to their ad campaigns by selecting and activating the sentiment engine settings.

[0815] Step 6:

[0816] Once the campaign is ready, users will be directed to the payment screen, where they will review the advertising costs and enter their payment information using a credit card or other payment method.

[0817] Step 7:

[0818] The server receives the payment information, processes the payment via the payment gateway, and sends a success notification to the terminal. The campaign status is updated to "Active".

[0819] Step 8:

[0820] The server sends active campaign information to an external AI agent system and sets up the ad delivery destinations.

[0821] Step 9:

[0822] The AI ​​agent analyzes the user's emotions through an emotion engine, generates emotionally relevant ads, and displays them preferentially based on those ads.

[0823] Step 10:

[0824] The server collects user response data to the displayed advertisements and analyzes it together with sentiment data obtained from the sentiment engine.

[0825] Step 11:

[0826] The server generates an advertising performance report from the collected data and displays the results to the user on a dashboard on their device.

[0827] Step 12:

[0828] Users can review the performance of their advertising campaigns on the dashboard and modify their campaign strategies and settings as needed.

[0829] (Example 2)

[0830] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0831] Traditionally, online advertising campaigns have faced challenges in delivering effective and efficient ads, as well as personalizing them to meet individual user needs. Furthermore, accurately measuring the effectiveness of ad delivery and optimizing ad content in real time has been difficult. As a result, many advertising campaigns have failed to achieve the expected results.

[0832] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0833] In this invention, the server includes means for analyzing the user's emotions and dynamically adjusting the advertising content, means for transmitting promotional information to an external processing device and prioritizing the presentation of advertisements, and means for analyzing the effectiveness of advertisement delivery and generating a report. This makes it possible to deliver personalized advertisements that respond to the user's emotions and reactions while enhancing the effectiveness of advertisement delivery.

[0834] An "information processing system" is a device or combination of devices for collecting, storing, and processing digital information and outputting it according to a specific purpose.

[0835] A "user" is an individual or organization that operates the information processing system and inputs registration data and promotional information.

[0836] "Registration data" refers to the basic information that users provide to the information processing system for authentication and identification purposes.

[0837] "Promotional information" refers to detailed information related to an advertising campaign, including target audience, budget, and delivery period.

[0838] "Advertising destinations" refer to the locations or groups to which advertisements are delivered, selected based on specific conditions or targeting criteria.

[0839] "Advertising expenses" are expenditures incurred in connection with an advertising campaign and are subject to budgeting and payment procedures.

[0840] An "external processing device" is a device or system located outside of an information processing system but which works in conjunction with it to process data and promotional information.

[0841] "Advertising effectiveness" refers to metrics that show the results achieved by an advertising campaign in relation to its target outcomes, and includes metrics such as click-through rates and conversion rates.

[0842] "Sentiment analysis" is a technology that analyzes user reactions and feedback to infer emotions and intentions, and is used to optimize advertising content.

[0843] A "report" is a document that summarizes the results of an analysis of the effectiveness of advertising, providing users with information to develop their next strategies.

[0844] This invention relates to an information processing system for optimizing the effectiveness of advertising campaigns. This system operates via an online platform, sets up advertising campaigns based on user input, and analyzes their results in real time.

[0845] Users access the platform using their devices and enter registration data. This registration data is stored in a database by the server and used for user authentication. Users then enter promotional information necessary for their advertising campaign (e.g., target market, delivery period, budget information). The server receives this information and configures it appropriately.

[0846] After an advertising campaign begins, the server uses a sentiment analysis engine to analyze user responses in real time. This analysis allows for dynamic adjustments to the ad content and delivery method as needed, enabling optimal messaging to the target market.

[0847] The server also works with the payment gateway to manage advertising expenses and process payments appropriately. Once a payment is successful, the server sends promotional information to an external processing unit, and an AI agent uses this information to prioritize ad delivery for relevant queries.

[0848] After an advertising campaign ends, the server evaluates the effectiveness of the ad delivery based on the acquired data. This includes multiple metrics such as clicks, impressions, and conversion rates. The final report is provided through a dashboard on the user's device, which the user can analyze to inform their next campaign strategy.

[0849] For example, when a user sets up an advertising campaign for a new product, this system can quickly and effectively adjust the campaign to suit the target market. An example of a prompt that can be input into the generating AI model is a command such as, "Please provide a strategy to maximize the effectiveness of the advertising campaign for our new product."

[0850] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0851] Step 1:

[0852] Users access the online platform using their devices and enter registration data. This data includes username, email address, and password. Based on this information, the server recognizes the user and stores the data in a database. This process involves data integrity checks and encryption, resulting in the generation of user authentication information.

[0853] Step 2:

[0854] Users input promotional information for advertising campaigns from their devices. Specifically, they input information such as the target audience, ad content, budget, and delivery period. The server receives this information, structures the data, and stores it in a database. This storage process involves data format conversion, resulting in the generation of campaign configuration data.

[0855] Step 3:

[0856] The server determines ad recipients based on the entered promotional information. It uses a targeting algorithm to select appropriate delivery candidates, thereby creating an ad delivery plan. Campaign configuration data is used as input, and an ad delivery list is generated as output.

[0857] Step 4:

[0858] Once an advertising campaign begins, the server utilizes an emotion analysis engine to analyze user reactions to the ads in real time. Input data includes user behavior patterns and feedback, and output is the emotion analysis results. This allows for dynamic adjustments to the ad content and delivery method.

[0859] Step 5:

[0860] The server processes the payment information for advertising expenses. Here, payment information from the user is input, and communication with an external payment gateway is performed to complete the payment. Data processing includes verification and tokenization of the payment information, and as a result, a payment success notification is output.

[0861] Step 6:

[0862] The server transmits promotional information to the AI ​​agent, which then prioritizes displaying ads for relevant queries. The input is campaign information after payment completion, and the output is a list of applied ad impressions.

[0863] Step 7:

[0864] After an advertising campaign ends, the server analyzes the effectiveness of the ads. The required input data includes clicks and impressions, and the analysis generates an ad performance report. The output is a formalized analysis report.

[0865] Step 8:

[0866] The server displays the generated reports on a dashboard, and users can view the reports on their devices. The analytics reports are used as input, and users can obtain reference data to improve their strategy for the next advertising campaign.

[0867] (Application Example 2)

[0868] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0869] A challenge in online advertising lies in the difficulty of providing personalized ads that align with user interests and responses. Traditional systems are unable to analyze user emotions and interests in real time and dynamically adjust ads, resulting in insufficient advertising effectiveness.

[0870] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0871] In this invention, the server includes means for analyzing and storing information, means for dynamically adjusting the content of advertisements, and means for transmitting and prioritizing campaign information. This enables personalized advertising that reflects the user's real-time emotions.

[0872] An "information processing device" refers to any system equipped with functions for registering, storing, analyzing, and distributing data.

[0873] "Business operator" refers to a corporation or individual that conducts advertising campaigns for products or services.

[0874] "Registration information" refers to a dataset containing the information necessary to conduct an advertising campaign.

[0875] "Advertising campaign information" refers to detailed information about the advertising campaign, such as the content of the advertisement, the target audience, and the duration of the advertisement.

[0876] "Ad distribution destination" refers to the media or platform on which advertisements are displayed.

[0877] "Settlement" refers to the process of completing a financial transaction regarding advertising costs.

[0878] "Analyzing user emotions in real time" means acquiring data on the user's current emotional state and immediately analyzing that data.

[0879] "Dynamically adjusting ad content" means instantly changing ad content based on the results of sentiment analysis to deliver the most optimal content.

[0880] "External systems" refer to other databases or distribution platforms located outside of the information processing device.

[0881] "Analyzing advertising effectiveness" is the process of evaluating how much the delivered advertisements contributed to achieving the goals.

[0882] A "report" is a document that summarizes the performance and effectiveness of an advertisement through analysis.

[0883] In the system that implements this invention, first, the user accesses an information processing device using a dedicated terminal and inputs registration information and advertising campaign information. The server receives this information and securely stores it in a database. Next, the server starts a function to set appropriate advertising destinations based on the received advertising campaign information. When the advertisement is delivered, the server analyzes the user's emotional state in real time through an emotion engine.

[0884] This emotion engine uses a combination of hardware to capture the user's facial expressions and voice, and software to analyze them. Specifically, it collects data using cameras and microphones, and this data is analyzed in real time using software such as OpenCV and the Sentiment Analysis Module. Based on the analysis results, the server dynamically adjusts the ad content and prioritizes displaying ads that match the user's emotions.

[0885] While an advertising campaign is running, the server evaluates the effectiveness of the ads based on ad delivery data and sentiment analysis results, and generates a detailed report. Users can view this report on a dashboard on their device and use it to inform their future advertising strategies.

[0886] As a concrete example, consider the delivery of travel-related advertisements. If a user smiles, the system analyzes that reaction and instantly presents attractive travel offers or special promotions. This is achieved through advanced emotion analysis utilizing visual and audio data.

[0887] An example of an input prompt for a generative AI model is, "If a user smiles after viewing a travel ad, what other offers or suggestions would you think would be effective?" This allows the system to further optimize its suggestion options.

[0888] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0889] Step 1:

[0890] The terminal receives registration information and advertising campaign information from the user. The entered data is sent to the server, which stores it in a database. This input includes user identification information and campaign details, which the server uses to verify data integrity and convert it into a storable format.

[0891] Step 2:

[0892] The server analyzes the received advertising campaign information and prepares it to set up appropriate ad delivery destinations. The data processing performed here is filtering to identify the best delivery destinations for the target audience of the user. The output is stored as a delivery destination list.

[0893] Step 3:

[0894] During ad delivery, the server captures the user's facial expressions and voice through the device's camera and microphone. The input visual and audio data is then sent to software that performs sentiment analysis. The data processing includes a real-time emotion extraction process, and the output is evaluated as the user's emotional state.

[0895] Step 4:

[0896] The server dynamically adjusts ad content based on the results of sentiment analysis. The input sentiment data serves as a criterion for determining which ad content is most appropriate from the accumulated ad content. The output is achieved by displaying the selected ad to the user. In this process, the latest and most appropriate ad content is selected instantly.

[0897] Step 5:

[0898] After an ad is delivered, the server processes the collected data to analyze its effectiveness. Inputs include user response data and click-through rates after delivery, which are used to calculate the ad's success. The results of this data processing are then output to the user's dashboard as an effectiveness-based report.

[0899] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0900] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0901] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0902] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0903] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0904] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0905] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0906] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0907] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0908] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0909] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0910] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0911] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0912] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0913] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0914] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0915] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0916] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0917] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0918] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0919] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0920] The following is further disclosed regarding the embodiments described above.

[0921] (Claim 1)

[0922] In an information processing device,

[0923] A means for businesses to input and store registration information,

[0924] A means for businesses to input and verify advertising campaign information,

[0925] A means of setting ad delivery destinations based on the entered ad campaign information,

[0926] A means of receiving and processing payment information for advertising costs,

[0927] A means of sending advertising campaign information to an external system and prioritizing the display of advertisements,

[0928] A means to analyze the effectiveness of ad delivery and generate reports,

[0929] A system that includes this.

[0930] (Claim 2)

[0931] The system according to claim 1, comprising means for determining advertising costs and managing payment details in accordance with advertising campaign information.

[0932] (Claim 3)

[0933] The system according to claim 1, comprising means for visualizing the analyzed advertising delivery effectiveness and displaying it on a dashboard accessible to the business operator.

[0934] "Example 1"

[0935] (Claim 1)

[0936] A means for users to input registration information and store it on a storage medium,

[0937] A means for users to input and authenticate advertising activity plan information,

[0938] A means for setting advertising recipients based on the entered advertising activity plan information,

[0939] A means of receiving payment information for advertising funds and completing the transaction,

[0940] A means of transferring advertising activity plan information to an external processing system and presenting advertisements with increased importance,

[0941] A means of analyzing the effectiveness of advertising and creating a report,

[0942] A means of collecting information for relevant queries using a generative AI model,

[0943] The dashboard provides a means to visualize reports and improve usability,

[0944] A system that includes this.

[0945] (Claim 2)

[0946] The system according to claim 1, comprising means for calculating advertising funds and managing payment details based on advertising activity plan information.

[0947] (Claim 3)

[0948] The system according to claim 1, comprising means for visually displaying the analyzed advertising transmission effect and presenting it on a display screen accessible to the user.

[0949] "Application Example 1"

[0950] (Claim 1)

[0951] A means for a business entity to input registration information and store that information,

[0952] A means for a business entity to input advertising project information and verify its contents,

[0953] A means of setting the ad delivery destination based on the entered ad project information,

[0954] A means of receiving and processing payment information for advertising funds,

[0955] A means of sending advertising project information to an external system and prioritizing the display of advertisements,

[0956] A means of analyzing the results of ad delivery and generating reports,

[0957] A means of notifying the business entity of the report contents and making suggestions for adjusting the advertising strategy,

[0958] A system that includes this.

[0959] (Claim 2)

[0960] The system according to claim 1, comprising means for determining advertising funds and managing payment details according to advertising project information.

[0961] (Claim 3)

[0962] The system according to claim 1, comprising means for visualizing the analyzed advertising delivery results and displaying them on a display screen accessible to the business entity.

[0963] "Example 2 of combining an emotion engine"

[0964] (Claim 1)

[0965] In information processing systems,

[0966] A means for users to input and save registration data,

[0967] A means for users to enter and confirm promotional information,

[0968] A means of setting advertising recipients based on the entered promotion information,

[0969] A means of receiving and processing payment information for advertising expenses,

[0970] A means of sending promotional information to an external processing device and prioritizing the display of advertisements,

[0971] A means to analyze the effectiveness of advertising and generate a report,

[0972] A means of analyzing user emotions and dynamically adjusting advertising content,

[0973] A system that includes this.

[0974] (Claim 2)

[0975] The system according to claim 1, comprising means for determining advertising expenses and managing payment status in accordance with promotional information.

[0976] (Claim 3)

[0977] The system according to claim 1, comprising means for visualizing the analyzed advertising effect and presenting it on a display screen accessible to the user.

[0978] "Application example 2 when combining with an emotional engine"

[0979] (Claim 1)

[0980] In an information processing device,

[0981] A means for businesses to input and store registration information,

[0982] A means for businesses to input and verify advertising campaign information,

[0983] A means of setting ad delivery destinations based on the entered ad campaign information,

[0984] A means of receiving and processing payment information for advertising costs,

[0985] A means to analyze user emotions in real time and dynamically adjust ad content,

[0986] A means of sending advertising campaign information to an external system and prioritizing the display of advertisements,

[0987] A means to analyze the effectiveness of ad delivery and generate reports,

[0988] A system that includes this.

[0989] (Claim 2)

[0990] The system according to claim 1, comprising means for determining advertising costs and managing payment details in accordance with advertising campaign information.

[0991] (Claim 3)

[0992] The system according to claim 1, comprising means for visualizing the analyzed advertising delivery effectiveness and displaying it on a dashboard accessible to the business operator. [Explanation of Symbols]

[0993] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. In an information processing device, A means for businesses to input and store registration information, A means for businesses to input and verify advertising campaign information, A means of setting ad delivery destinations based on the entered ad campaign information, A means of receiving and processing payment information for advertising costs, A means of sending advertising campaign information to an external system and prioritizing the display of advertisements, A means to analyze the effectiveness of ad delivery and generate reports, A system that includes this.

2. The system according to claim 1, comprising means for determining advertising costs and managing payment details in accordance with advertising campaign information.

3. The system according to claim 1, further comprising means for visualizing the analyzed advertising delivery effectiveness and displaying it on a dashboard accessible to the business operator.

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