system

Abstract

We provide the system. [Solution] A system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to the questions asked by users, means for recommending multiple official accounts that are likely to be able to resolve the questions in more detail, and means for using one of the recommendation slots as an advertising slot.

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 character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds 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] It is difficult to provide an appropriate answer to the content that a user consults within a specific industry or business type room, and further efficiently recommend an official account that seems to be able to solve the consultation matter in more detail. In addition, there is no means to utilize the recommendation frame as an advertisement and simultaneously stack up the message billing revenue and the friend addition advertisement revenue due to an increase in the number of new friend registrations to the official account of the messenger application.

Means for Solving the Problems

[0005] This invention creates rooms for specific industries and sectors, and provides AI-powered answers using GPT4 to users' inquiries. Furthermore, it recommends multiple official accounts that are likely to be able to resolve the inquiry in more detail. By designating one of the recommendation slots as an advertising slot, the system provides a way to simultaneously increase message charges and friend-adding advertising revenue from an increase in the number of new friend registrations to the messenger app's official accounts. [Brief explanation of the drawing]

[0006] [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] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Embodiment 1 of Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1 of Form Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2 of Embodiment 2. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2 of Form Example 2. [Figure 15] This is a sequence diagram showing the processing flow of the data processing system in Embodiment 3 of Example 3. [Figure 16] This is a sequence diagram showing the processing flow of the data processing system in Application Example 3 of Form Example 3. [Figure 17] This is a sequence diagram showing the processing flow of the data processing system in Example 1 of the Form 1 when an emotion engine is combined. [Figure 18] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1 of Form Example 1 when an emotion engine is combined. [Figure 19] This is a sequence diagram showing the processing flow of a data processing system in another embodiment. [Modes for carrying out the invention]

[0007] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0008] First, let's explain the terminology used in the following explanation.

[0009] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple 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), or a TPU (TENSOR PROCESSING UNIT (registered trademark)), etc.

[0010] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0011] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0012] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0013] 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 only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0014] [First Embodiment]

[0015] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0016] As shown in FIG. 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.

[0017] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of the "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0018] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. Also, the reception device 38, the output device 40, and the camera 42 are connected to the bus 52.

[0019] 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.

[0020] 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.

[0021] 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.

[0022] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0023] 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.

[0024] 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.

[0025] 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.

[0026] Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0027] "Example of form 1"

[0028] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0029] "Example of form 2"

[0030] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0031] The following describes the processing flow for each example of the form.

[0032] "Example of form 1"

[0033] Step 1: Create a room for a specific industry or sector within the messenger app. For example, create a room for the IT industry, a room for the medical industry, etc.

[0034] Step 2: Provide AI answers to the user's inquiries. To do this, an AI engine utilizing GPT4 is used. This AI engine analyzes the user's questions and inquiries and generates appropriate answers.

[0035] Step 3: Recommend official accounts that are likely to resolve the issue in more detail. The AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user.

[0036] Step 4: Designate one of the recommendation slots as an advertising slot. By inserting ads into the recommendation list, it becomes possible to simultaneously increase message subscription revenue from an increase in the number of new friend registrations to the messenger app's official account and friend addition advertising revenue.

[0037] (Example 1)

[0038] Next, we will describe Example 1 of Form 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."

[0039] In modern information exchange, there is a need to efficiently acquire information specific to particular fields and easily find relevant information sources. However, conventional systems struggle to provide users with the information they need quickly and accurately, and lack effective means of recommending relevant information sources. Therefore, improving the efficiency of information acquisition for users is a key challenge.

[0040] 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.

[0041] In this invention, the server includes means for generating an information exchange space for a specific field, means for generating an automated response based on information input by a user, and means for recommending multiple information sources related to the input information. This enables users to efficiently acquire information specific to a particular field and easily find related information sources.

[0042] A "specific field" refers to an area of ​​information or activities related to a particular industry or sector.

[0043] An "information exchange space" refers to a virtual environment where users can share information and communicate.

[0044] "User" refers to an individual or organization that uses the system to input information and receive responses.

[0045] "Automated response" refers to answers or information that a system automatically generates based on user input.

[0046] "Information sources" refer to external data and services that may provide the information users are looking for.

[0047] "Recommendation" refers to the act of presenting users with specific information sources or options and encouraging them to make a choice.

[0048] "Promotional information" refers to information intended to inform users about specific products or services and to attract their interest.

[0049] A "communication application" refers to software that allows users to send and receive messages and share information.

[0050] This invention is a system that provides an information exchange space specialized for a specific field. The server operates within a communication application and generates an information exchange space for that specific field. This allows users to efficiently obtain information related to a specific industry or business using their own devices.

[0051] The server uses artificial intelligence (AI) that leverages natural language processing technology to generate automated responses based on information entered by the user. This AI employs a generative AI model, specifically utilizing GPT-4®. It analyzes questions and inquiries entered by the user through their terminal and generates appropriate answers.

[0052] Furthermore, the server recommends multiple information sources related to the input information. This makes it easy for the user to find relevant information sources. Some of the recommended information includes promotional material, which broadens the range of information sources available and enhances the effectiveness of the promotion.

[0053] For example, if a user asks, "Please tell me about the latest IT technologies using AI," the server will use GPT-4 to generate an answer such as, "One example of the latest IT technologies utilizing AI is data analysis using machine learning." It will also recommend the "AI News Official Account" as a relevant information source and display an advertisement for an "AI technology seminar" as promotional information.

[0054] An example of a prompt message would be, "Please tell me about the latest trends in the IT industry. I'm particularly interested in information about AI technology." Based on this prompt message, the server will provide appropriate information and assist the user in obtaining the information they need.

[0055] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0056] Step 1:

[0057] A user accesses a specific information exchange space within a communication application using a terminal. The user inputs questions or inquiries related to their area of ​​interest in text format. This input serves as the starting point for the system's processing.

[0058] Step 2:

[0059] The server sends the text input received from the user to an artificial intelligence that utilizes natural language processing technology. Specifically, it uses the generative AI model GPT-4 to analyze the input text. This analysis helps the AI ​​understand the user's intent and the content of the question, and processes the data to generate an appropriate response.

[0060] Step 3:

[0061] The server provides the user with a response generated by GPT-4. This response is a direct answer to the user's question and is displayed within the information exchange space. The output response is generated based on the user's input and is intended to satisfy the user's information needs.

[0062] Step 4:

[0063] The server selects multiple information sources relevant to the user's input and presents them to the user as recommendations. These recommendations include highly relevant information sources and official accounts. The server performs data calculations based on the user's input data to select the most relevant information sources.

[0064] Step 5:

[0065] The server includes promotional information as part of its recommendations. This allows users to find relevant information sources while simultaneously receiving promotional information for related products and services. The server processes the data to insert promotional information into the recommendation list.

[0066] Step 6:

[0067] Based on the responses and recommendations provided, users can obtain further information or access relevant sources. This allows users to efficiently acquire information in specific fields.

[0068] (Application Example 1)

[0069] Next, we will describe Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server," and the smart device 14 will be referred to as a "terminal."

[0070] In physical stores, there is a challenge in providing customers with quick and accurate information when they ask questions about products and services. Furthermore, the lack of effective means to communicate relevant product and service information to customers makes it difficult to maximize the promotional effectiveness of stores.

[0071] 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.

[0072] In this invention, the server includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiries in more detail, means for designating one of the recommendation slots as an advertising slot, means for providing real-time answers when customers ask questions about products or services in physical stores, and means for recommending official accounts of related products and services and displaying advertisements. This enables the rapid and accurate provision of information to customers and maximizes the promotional effect of stores.

[0073] A "Specific Industry / Business Room" is a dedicated virtual space created for providing information and consultations related to a specific industry or business.

[0074] "Means of providing AI answers" refers to a function that uses artificial intelligence to generate and provide appropriate answers to user questions and inquiries.

[0075] The "method for recommending multiple official accounts" is a function that selects highly relevant official accounts based on the user's inquiry and recommends them to the user.

[0076] "The method of using one of the recommendation slots as an advertising slot" refers to a function that inserts advertisements into the recommendation list and displays them to the user.

[0077] "A means of providing real-time answers when customers ask questions about products or services in a physical store" refers to a function that provides immediate answers when customers ask questions about products or services within a physical store.

[0078] "A means of recommending and displaying advertisements for official accounts of related products and services" refers to a function that recommends official accounts of related products and services based on the customer's interests and questions, and simultaneously displays advertisements for them.

[0079] The system for implementing this invention includes a program for creating rooms for specific industries and sectors and providing AI-powered answers to user inquiries. The server utilizes a generative AI model to analyze user questions and generate appropriate answers. Specifically, the server operates on the cloud and performs natural language processing using the GPT-4 API. The user's terminal is a mobile device such as a smartphone or tablet, through which the user inputs their questions.

[0080] When a user asks a question about a product or service in a physical store, the terminal sends the question to a server. The server analyzes the question, searches its database for relevant official accounts, and recommends them to the user. The recommendation list also includes advertisements, which are dynamically selected based on the user's interests.

[0081] For example, if a user asks, "How do I use this product?", the server will respond, "This product is ideal for use in XX. For detailed instructions, please see our official account," and recommend the relevant official account. An example of a prompt to the generating AI model would be, "A user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0082] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0083] Step 1:

[0084] Users enter questions about products or services using their devices. The entered questions are saved as text data on the device.

[0085] Step 2:

[0086] The terminal sends the entered question to the server. The server receives this text data and uses a generative AI model to analyze the content of the question. As a result of the analysis, the intent of the question and related keywords are extracted.

[0087] Step 3:

[0088] Based on the analysis results, the server generates an appropriate response using the GPT-4 API. The generated response is stored on the server as text data.

[0089] Step 4:

[0090] The server searches its database for relevant official accounts based on the content of the question. The search results generate a list of highly relevant official accounts.

[0091] Step 5:

[0092] The server sends the generated answers and a list of official accounts to the device. The device receives this data and displays it to the user.

[0093] Step 6:

[0094] The device inserts ads into the recommendation list. The ads are dynamically selected and displayed based on the user's interests.

[0095] Step 7:

[0096] Users view the answers, official accounts, and advertisements displayed through their devices, and follow official accounts or click on advertisements as needed.

[0097] (Example 2)

[0098] Next, we will describe Example 2 of Form 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".

[0099] There is a need to provide a communication space for efficient information exchange and consultation in specific fields, enabling users to quickly and accurately obtain the information they seek. Furthermore, there is a need for methods to effectively present relevant information sources and attract user interest. Additionally, there is a need for means to effectively utilize advertising to increase revenue.

[0100] 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.

[0101] In this invention, the server includes means for generating a communication space in a specific field, means for generating an automatic response based on information input by the user, means for presenting multiple information sources related to the information, means for designating a portion of the presentation space as an advertising space, and means for analyzing the user's input in the communication space and selecting an appropriate information source. This enables the user to efficiently acquire information in a specific field and gain further knowledge through related information sources. Furthermore, it allows for increased revenue through advertising.

[0102] A "specific field" refers to a particular industry, sector, or specialized area, and is the area in which information and activities related to that field take place.

[0103] A "communication space" refers to a digital environment where users can exchange information and seek advice, enabling online dialogue and information sharing.

[0104] "User" refers to an individual or organization that uses the system to input information and receives responses or information sources.

[0105] "Automated response" refers to answers and information generated by artificial intelligence based on user input, and is generated using natural language processing technology.

[0106] "Information sources" refer to media or platforms that provide data and knowledge related to the information that users are seeking.

[0107] A "display frame" refers to a space used to display information sources and advertisements to users, and is an area for providing information visually.

[0108] "Advertising space" refers to a space reserved as part of the display area for displaying advertisements, and is used to increase revenue.

[0109] "Analysis" refers to the process of data processing performed to understand user input and select appropriate responses and information sources.

[0110] This invention is a system for efficiently exchanging information in a specific field, and it operates through the cooperation of three parties: a server, a terminal, and a user.

[0111] The server first creates a communication space for a specific field. This provides a platform for exchanging information related to a particular industry or sector on a digital platform. The server uses a database to manage the communication spaces corresponding to each field and makes them accessible to users.

[0112] The user accesses this communication space using a terminal and inputs information. The information entered by the user is sent to the server. The server analyzes the received information using a generative AI model that utilizes natural language processing technology, specifically GPT-4. Through this analysis, the server understands the user's intent and generates an appropriate automated response.

[0113] Furthermore, the server presents multiple relevant information sources based on the analysis results. This includes a process of selecting highly relevant information sources from the database and presenting them to the user. Some of these presentation slots can display advertisements. This allows users to obtain the information they need while simultaneously gaining new information through relevant advertisements.

[0114] For example, if a user enters "Please tell me about the latest medical technologies," the server will use GPT-4 to generate an automated response such as, "The latest medical technologies attracting attention include AI-powered diagnostic systems and telemedicine." It can also present "medical technology news" as a relevant source of information and display "advertisements from medical device manufacturers" in the advertising slots.

[0115] An example of a prompt might be, "Please tell me about the latest technologies in the IT industry." In response to this prompt, the server will provide appropriate responses and information.

[0116] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0117] Step 1:

[0118] The user accesses the communication space using a terminal and inputs information. The user enters questions or inquiries related to a specific field into a text box and presses the submit button. The entered information is sent from the terminal to the server. The input data consists of the user's questions or inquiries.

[0119] Step 2:

[0120] The server analyzes the user input it receives. Using the generative AI model GPT-4, the server analyzes the user input using natural language processing techniques. This analysis helps the server understand the user's intent and generate an appropriate automated response. The input is the user's question, and the output is the generated automated response.

[0121] Step 3:

[0122] The server selects relevant information sources and presents them to the user. Based on the analysis results, the server searches the database for highly relevant information sources. The selected information sources are presented to the user. The input is the analysis result, and the output is a list of relevant information sources.

[0123] Step 4:

[0124] The server inserts advertisements into the display slots. The server uses a portion of the display slots as advertising space to display advertisements relevant to the user's interests. This allows the user to view both information sources and advertisements simultaneously. The input is data based on the user's interests, and the output is the displayed advertisements.

[0125] Step 5:

[0126] Users review the presented information sources and advertisements and take additional actions as needed. Users can click on information sources of interest to learn more, or explore related services and products through advertisements. The input is the presented information sources and advertisements, and the output is the user's actions.

[0127] (Application Example 2)

[0128] Next, we will describe application example 2 of form example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0129] In physical stores, there is a challenge in that customers have difficulty obtaining product information quickly and accurately. Furthermore, there is a lack of effective means to recommend official sources related to the information customers are seeking. In addition, there is a need for effective information provision methods to improve the in-store customer experience.

[0130] 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.

[0131] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to inquiries made by users, and means for recommending multiple official sources that are likely to resolve the inquiries in more detail. This enhances customer support in physical stores, allowing artificial intelligence to immediately provide answers and recommend relevant official sources for products when a customer enters a question about a product.

[0132] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0133] "User" refers to an individual or group that makes an inquiry using the information exchange space.

[0134] "Inquiry content" refers to information that users input as questions or consultations within the information exchange space.

[0135] "Artificial intelligence response" refers to an automated response generated using a generative AI model in response to a user's inquiry.

[0136] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0137] A "recommended section" is a display area designed to present users with official sources and related information.

[0138] An "advertising slot" is a specific area within the recommended slots that is designated for displaying advertisements.

[0139] "In-store customer support" refers to activities that provide support to customers in actual stores to help them obtain information about products and services.

[0140] "Means of providing an information exchange space" refers to technical means that enable users to access an information exchange space and exchange information.

[0141] A "generative AI model" is an artificial intelligence technology that uses natural language processing to generate answers to user inquiries.

[0142] The system for implementing this invention provides an information exchange space for specific industries and sectors, and generates artificial intelligence-based answers to user inquiries. The server utilizes a generation AI model to analyze user inquiries and generate appropriate answers. Furthermore, the server recommends multiple official information sources related to the inquiry and uses a portion of the recommendation slots as advertising space.

[0143] The server operates within the communication application, and when a user enters a product-related question in a physical store, artificial intelligence provides an immediate answer. This enhances customer support within the physical store. Users can access the information exchange space by scanning a QR code (registered trademark) in the store using a smartphone or other device.

[0144] Specifically, the server uses GPT-4 as its generative AI model and analyzes user inquiries using natural language processing techniques. Based on the analysis results, it selects relevant official information sources and recommends them to the user. The recommendation section also includes advertisements for related products.

[0145] For example, if a user asks, "How do I use this product?", the server will generate an answer such as, "This product is used in the following steps," and recommend official information sources related to the product. It will also display advertisements such as, "We also recommend our new product, XX."

[0146] An example of a prompt message is: "The user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0147] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0148] Step 1:

[0149] A user scans a QR code using their smartphone within a physical store. This allows the device to obtain a URL for accessing a specific information exchange space and launch a communication application. The input is the data from the QR code, and the output is access to the information exchange space.

[0150] Step 2:

[0151] The user enters a question about a product within a communication application. The terminal sends this question to the server. The input is the user's question text, and the output is the transmission of the question data to the server.

[0152] Step 3:

[0153] The server inputs the received question into a generating AI model (GPT-4) and analyzes the question using natural language processing. The input is the user's question data, and the output is the analyzed question content.

[0154] Step 4:

[0155] The server generates appropriate answers using an AI model based on the analysis results. The input is the analyzed question content, and the output is the generated answer text.

[0156] Step 5:

[0157] The server searches its database for official information sources related to the question and selects several recommended sources. The input is the parsed question, and the output is a list of recommended sources.

[0158] Step 6:

[0159] The server adds promotional information to the list of recommended information sources and constructs a recommendation box. The input is a list of recommended information sources, and the output is a recommendation box containing promotional information.

[0160] Step 7:

[0161] The server sends the generated answers and suggested boxes to the terminal. The input is the generated answers and suggested boxes, and the output is the data sent to the terminal.

[0162] Step 8:

[0163] The terminal displays the received responses and recommended options to the user. Input is data from the server, and output is information displayed to the user.

[0164] 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.

[0165] "Example of form 1"

[0166] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0167] "Example of form 2"

[0168] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0169] The following describes the processing flow for each example of the form.

[0170] "Example of form 1"

[0171] Step 1: The user enters a room for a specific industry or business and enters their consultation details as text.

[0172] Step 2: The emotion engine analyzes the user's emotions from their text input. For example, from the text "I've been feeling down lately because things haven't been going well at work," it recognizes that the user is feeling down.

[0173] Step 3: The AI ​​provides an answer based on the analyzed emotions. For example, it might provide an answer that responds to the user's emotions, such as, "That sounds tough. What are you having trouble with at work?"

[0174] Step 4: The AI ​​recommends official accounts that are likely to be able to resolve the issue in more detail. At this stage, the AI ​​selects official accounts considering the user's emotions. For example, if the user is feeling down, it might recommend an official account for psychological counseling.

[0175] Step 5: Use one of the recommendation slots as an advertising slot. This ad slot will display ads that are relevant to the user's inquiry and emotions.

[0176] (Example 1)

[0177] Next, we will describe Example 1 of Form 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."

[0178] In today's information and communication environment, there is a need to provide a platform for information exchange specializing in specific fields and to offer appropriate and emotionally sensitive responses to the diverse inquiries of users. However, conventional systems often fail to adequately consider users' emotions in their responses and recommend relevant information sources, making it difficult to increase user satisfaction.

[0179] 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.

[0180] In this invention, the server includes means for generating a communication space for exchanging information in a specific field, means for using artificial intelligence to analyze the content of user inquiries and generate responses, and means for analyzing the user's emotions and adjusting the responses. This makes it possible to provide responses that take the user's emotions into consideration and recommend relevant information sources.

[0181] "Specific field" is a concept that refers to information and activities related to a particular industry or sector.

[0182] A "communication space" refers to a virtual environment where users exchange information and communicate.

[0183] "User" refers to an individual or organization that uses the system to obtain information or seek advice.

[0184] "Inquiry content" refers to the questions and consultations that users submit to the system.

[0185] "Artificial intelligence" refers to technology that enables computers to mimic human intellectual activity and perform natural language processing and data analysis.

[0186] "Emotion analysis" refers to a technology that identifies emotions from user input and adjusts responses based on those emotions.

[0187] "Response" refers to the answer or information that the system provides in response to a user's inquiry.

[0188] "Related information sources" refer to external information providers or databases that provide information related to the user's inquiry.

[0189] This invention is a system for exchanging information specialized in a particular field, in which the server, terminal, and user elements work together in coordination.

[0190] The server creates a communication space for exchanging information in a specific field. This allows users to exchange information related to a particular industry or sector. The server operates within the messenger application and is designed to be accessible to users.

[0191] Users access the communication space using a terminal and input questions or inquiries. The user's input is sent to a server for processing. The server uses artificial intelligence, leveraging generative AI models, to analyze the user's inquiry and generate an appropriate response. This AI uses natural language processing technology to understand the user's intent and provide relevant information.

[0192] Furthermore, the server uses an emotion analysis engine to analyze the user's emotions from their input. This makes it possible to generate responses that take the user's feelings into consideration. For example, if a user inputs, "I've been feeling down lately because things haven't been going well at work," the server recognizes this emotion and provides a response such as, "That's tough. What are you having trouble with at work?"

[0193] The server also recommends information sources relevant to the user's inquiry. This includes highly relevant official accounts and external sources. The server can also generate revenue by inserting advertisements into the recommendations.

[0194] For example, if a user enters "I want to learn a new programming language, but I don't know which one to choose," the server will generate a response such as "Python is recommended for beginners" and recommend resources that are helpful for learning programming.

[0195] An example of a prompt message would be, "I've been feeling down lately because things haven't been going well at work. I'd appreciate some advice on what to do."

[0196] The flow of the specific processing in Example 1 will be explained using Figure 15.

[0197] Step 1:

[0198] Users access a specific communication space within a messenger application using their device and input questions or requests for advice. This input is sent to the server in text format.

[0199] Step 2:

[0200] The server analyzes the received user input using a generative AI model. Specifically, it uses natural language processing techniques to understand the intent of the input text and extract relevant information. This analysis provides the foundational data needed to generate appropriate responses to the user's questions.

[0201] Step 3:

[0202] The server uses an emotion analysis engine to analyze user input and determine their emotions. By running the input text through an emotion analysis algorithm, it identifies the user's emotional state (e.g., depressed, happy). This analysis result is then used as data to adjust the response.

[0203] Step 4:

[0204] The server uses a generative AI model to generate responses based on the analysis results. It takes the sentiment analysis results into account to create responses that are sensitive to the user's emotions. For example, if the user is feeling down, it might generate a response such as, "That sounds tough. What are you having trouble with at work?"

[0205] Step 5:

[0206] The server recommends information sources relevant to the user's question. Based on the generated responses and sentiment analysis results, it selects and presents highly relevant official accounts and external sources to the user. Advertisements may also be inserted into these recommendations.

[0207] Step 6:

[0208] Users receive responses and recommendations from the server, and can ask further questions or utilize recommended information sources as needed. This allows users to resolve their questions and obtain the information they need.

[0209] (Application Example 1)

[0210] Next, we will describe Application Example 1 of Form Example 1. In the following description, the data processing device 12 will be referred to as a "server," and the smart device 14 will be referred to as a "terminal."

[0211] In today's information and communication environment, users face challenges in efficiently obtaining information about specific industries or sectors and receiving appropriate responses. Furthermore, there is a lack of consideration for user emotions, and improved satisfaction is needed. For information providers, optimizing information provision and advertising to meet user needs is also a challenge.

[0212] 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.

[0213] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to the user's inquiries, and means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results. This enables users to efficiently acquire information and receive appropriate responses that match their emotions.

[0214] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0215] "Users" refers to individuals or corporations who use the information exchange space to seek advice or obtain information.

[0216] "Artificial intelligence response" refers to an answer generated by artificial intelligence in response to a user's question or inquiry.

[0217] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0218] A "recommended section" is a display area designed to present users with official information sources and advertisements.

[0219] An "advertising slot" is an area designated as part of the recommended slots for displaying advertisements.

[0220] "Emotional analysis" is the process of identifying emotions from user input information and evaluating their emotional state.

[0221] "Proposing countermeasures" means presenting appropriate actions or solutions based on the user's feelings and the content of their consultation.

[0222] The system for implementing this invention consists of a server and a terminal working in cooperation. The server creates an information exchange space for a specific industry or sector and receives inquiries from users. The terminal is responsible for transmitting the inquiries entered by users to the server.

[0223] The server utilizes a generative AI model to analyze the received consultation content. This AI model, for example, uses GPT-4 to generate appropriate answers to the user's questions. Furthermore, the server uses an emotion analysis engine to analyze the user's emotions and adjusts the AI ​​answers based on the results. For emotion analysis, emotion analysis libraries such as TextBlob and NLTK can be used.

[0224] For example, if a user inputs "This product was disappointing" through their device, the device sends this information to the server. The server uses an emotion analysis engine to determine that the user is "dissatisfied" and sends a prompt to the AI ​​model asking it to "suggest a solution for dissatisfied customers." The AI ​​model then generates a response such as, "We apologize. We will offer you a 10% discount on your next visit," and sends it to the device.

[0225] In this way, by linking the server and the terminal, users can efficiently obtain information and receive appropriate responses that reflect their emotions.

[0226] The flow of a specific process in Application Example 1 will be explained using Figure 16.

[0227] Step 1:

[0228] Users access an information exchange space for a specific industry or sector using their device and enter their inquiry details. The entered inquiry details are saved as text data on the device.

[0229] Step 2:

[0230] The terminal sends the entered consultation details to the server. The data sent is text data containing the user's consultation details.

[0231] Step 3:

[0232] The server passes the received consultation content to the sentiment analysis engine, which analyzes the user's emotions. The sentiment analysis engine uses TextBlob or NLTK to analyze the text data and outputs the emotional state (e.g., dissatisfaction, joy, sadness, etc.).

[0233] Step 4:

[0234] Based on the sentiment analysis results, the server sends a prompt message to the generative AI model. The prompt message contains instructions for generating a response tailored to the user's emotions. For example, it might send a prompt message such as, "Please suggest a response for a dissatisfied customer."

[0235] Step 5:

[0236] The generative AI model receives a prompt and generates an appropriate response. The AI ​​model uses GPT-4 to generate text based on the prompt and outputs the response to the user.

[0237] Step 6:

[0238] The server sends the generated response to the terminal. The terminal displays the received response to the user, ensuring the user receives appropriate action.

[0239] (Example 2)

[0240] Next, we will describe Example 2 of Form 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".

[0241] In today's communication environment, there is a challenge in that it is difficult for users to efficiently obtain information on specific fields and receive appropriate advice. Furthermore, there is a need to provide appropriate responses that respond to the user's emotions, but conventional systems have not been able to adequately achieve this.

[0242] 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.

[0243] In this invention, the server includes means for creating a communication space for a specific field, means for providing an automated response to information input by a user, means for recommending multiple official sources that are likely to resolve the information in more detail, and means for analyzing the user's emotions and adjusting the response accordingly. This enables the user to efficiently obtain information on a specific field and receive appropriate advice tailored to their emotions.

[0244] A "communication space for a specific field" is a virtual exchange space intended for the purpose of exchanging information related to a particular industry or sector.

[0245] "Information entered by the user" refers to questions and consultations provided by the user through the communication application.

[0246] "Means of providing automated responses" refers to a function that uses a generative AI model to analyze user input information and generate appropriate responses.

[0247] "Methods for recommending multiple official sources" refers to a function that selects and presents highly relevant official information providers to the user based on the information the user inputs.

[0248] "Advertising slots" refer to spaces within recommended information sources where advertisements can be inserted.

[0249] "Means for analyzing user emotions and adjusting responses" refers to a function that analyzes user emotions from input information and adjusts the content and tone of responses based on the results.

[0250] One embodiment of this invention is a system that provides a communication space specialized for a specific field. This system operates in cooperation with three parties: a server, a terminal, and a user.

[0251] The server creates a communication space for a specific field and receives information input by the user. The server uses an AI engine that leverages generative AI models to analyze the user's input and generate automated responses. This AI engine employs advanced natural language processing techniques, such as GPT-4. The server also selects and recommends relevant official information sources based on the user's input. This recommendation list also includes advertisements as promotional space.

[0252] The terminal is responsible for transmitting information entered by the user through a communication application to the server, receiving responses and recommendations from the server, and presenting them to the user. The terminal provides an intuitive interface that users can operate, enabling smooth information exchange.

[0253] Users input questions or inquiries about specific fields through their device. For example, by entering a prompt such as "What are the latest trends in the IT industry?", the AI ​​engine provides relevant information and recommends relevant official sources. Based on this information, users can decide on their next course of action.

[0254] This system allows users to efficiently obtain information in specific fields and receive appropriate advice tailored to their emotions.

[0255] The flow of the specific processing in Example 2 will be explained using Figure 17.

[0256] Step 1:

[0257] Users input questions or inquiries about specific fields through their terminals. The entered information is sent to the server in text format. This input consists of prompts that specifically express the user's questions or inquiries.

[0258] Step 2:

[0259] The server sends the received prompt text to an AI engine that utilizes a generation AI model. The AI ​​engine analyzes the prompt text using natural language processing techniques and generates an appropriate response. This analysis extracts context and keywords from the input text and searches for relevant information based on them. The output is an answer to the user's question.

[0260] Step 3:

[0261] The server receives the response generated by the AI ​​engine and then sends the user's input information to the emotion engine. The emotion engine analyzes the user's emotions from the text and adjusts the AI ​​response based on the results. For example, if the user indicates an emotion such as "depressed," the emotion engine will soften the tone of the response. This process results in an adjusted response that is appropriate to the user's emotions.

[0262] Step 4:

[0263] The server selects highly relevant official information sources based on user input and sentiment analysis results. This involves searching the database for relevant sources and choosing the ones best suited to the user's needs. The selected sources are output as a recommendation list.

[0264] Step 5:

[0265] The server inserts ads into the recommendation list. This involves selecting appropriate ads from a pre-configured ad database and incorporating them as part of the recommendation list. This completes the final recommendation list.

[0266] Step 6:

[0267] The terminal presents the user with the adjusted answers and recommendation list received from the server. The user can then decide on their next action based on this information. The answers and recommendations are displayed on the user's screen as output.

[0268] (Application Example 2)

[0269] Next, we will describe application example 2 of form example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0270] In modern brick-and-mortar stores, promptly and accurately addressing customer questions and concerns is crucial for improving customer satisfaction. However, traditional methods have faced challenges in considering customer emotions and making appropriate suggestions for related products and services. Furthermore, there is a need for effective ways to utilize advertising to increase revenue.

[0271] 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.

[0272] In this invention, the server includes means for creating an information exchange space for a specific industry or sector; means for providing artificial intelligence answers to the user's inquiries; means for recommending multiple official information sources that are likely to resolve the inquiries in more detail; means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results; and means for suggesting relevant products and services in response to the user's questions at a physical store. This enables flexible responses tailored to the customer's emotions, effective suggestions of relevant products, and increased revenue through the use of advertising.

[0273] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0274] The "means for providing an AI answer to the content consulted by the user" is a function that analyzes the questions and consultation content from the user and generates an appropriate answer using artificial intelligence.

[0275] The "means for recommending multiple official information sources" is a function that selects multiple reliable information sources related to the consultation content of the user and presents them to the user.

[0276] The "means for using one of the recommendation frames as an advertisement frame" is a function for obtaining advertising revenue by including advertisements among the recommended information sources.

[0277] The "means for analyzing the user's emotions and adjusting the AI answer based on the analysis result" is a function that analyzes emotions from the user's input and adjusts the answer generated by the artificial intelligence based on the result.

[0278] The "means for proposing relevant products and services in response to the user's questions in a physical store" is a function that proposes relevant products and services in response to the questions asked by the user in a physical store.

[0279] The system for implementing this invention operates in a network environment including a server and a terminal. The server creates an information exchange space for a specific industry or business type and provides an answer using artificial intelligence to the content that the user consults through the terminal. Specifically, the server utilizes a generation AI model to analyze the input from the user and generate an appropriate answer.

[0280] The server also recommends multiple relevant official information sources based on the consultation content of the user. This includes the function of selecting reliable information sources and presenting them to the user. Furthermore, it is possible to utilize a part of the recommendation frame as an advertisement frame to obtain advertising revenue.

[0281] To analyze the user's emotions, the server uses an emotion analysis engine. This engine analyzes the emotions from the user's text input and adjusts the answers generated by artificial intelligence based on the results. For example, when the user is feeling dissatisfied, a more personal answer can be provided.

[0282] In a physical store, when a user enters a question using a terminal, the server proposes relevant products and services. This allows the user to improve their shopping experience in the store.

[0283] As a specific example, when the user asks, "I want to know more about this product," the server provides detailed product information and proposes relevant accessories and sets. Also, when the user enters, "Recently, shopping has been stressful," the emotion analysis engine detects the stress and proposes relaxing products or special offers.

[0284] Examples of prompt sentences include, "I want to know more about this product. Please provide details." and "Recently, shopping has been stressful. Do you have any recommendations?"

[0285] The flow of the specific process in Application Example 2 will be described using FIG. 18.

[0286] Step 1:

[0287] The user enters a question using a terminal. The entered question is sent to the server as text data.

[0288] Step 2:

[0289] The server inputs the received text data into the generation AI model. The generation AI model analyzes the content of the question and generates an appropriate answer. In this process, natural language processing technology is used to understand the intention of the question and extract relevant information. As an output, the generated answer is obtained.

[0290] Step 3:

[0291] The server uses an emotion analysis engine to analyze the emotions in the user's input text. The user's question text is used as input. The emotion analysis engine identifies the emotions in the text and outputs the results.

[0292] Step 4:

[0293] The server combines the generated responses with the sentiment analysis results to refine the final response for the user. For example, if the user expresses dissatisfaction, it generates a more empathetic response. This refined response is then output.

[0294] Step 5:

[0295] The server recommends multiple relevant official sources based on the user's question. The user's question is used as input. The server consults a database and selects the most relevant sources. A list of recommendations is provided as output.

[0296] Step 6:

[0297] The server utilizes a portion of the recommendation list as ad space, selecting and displaying appropriate ads. User interests and questions are used as input. An ad selection algorithm is used to output the most suitable ads.

[0298] Step 7:

[0299] In a physical store, when a user enters a question using a terminal, the server suggests relevant products and services. The user's question is used as input. The server consults a product database and selects highly relevant products and services. A list of suggestions is provided as output.

[0300] (Other examples)

[0301] Next, other embodiments will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart device 14 is referred to as a "terminal".

[0302] In modern information society, users are required to obtain various kinds of information quickly and accurately. However, due to the overabundance of information and the proliferation of inaccurate information, it is difficult for users to efficiently obtain the information they need. In addition, due to the lack of appropriate information provision according to users' feelings and needs, the user experience may be impaired.

[0303] The specific processing by the specific processing unit 290 of the data processing device 12 in other embodiments is realized by the following means.

[0304] In this invention, the server includes means for generating an information exchange space for a specific industry or business type, means for analyzing the content of a user's consultation and generating a prompt for instructing to generate an appropriate answer using a generated AI model, means for recommending a plurality of official information sources related to the consultation content and displaying some of them as advertisement frames, and means for analyzing the user's feelings and adjusting the AI answer based on the analysis result. Thereby, users can quickly and accurately obtain the information they need and receive appropriate information provision according to their feelings and needs.

[0305] The "information exchange space for a specific industry or business type" is a virtual space that aggregates information related to a specific industry or business type selected by the user and enables users to exchange information with each other.

[0306] The "generated AI model" is an artificial intelligence model for generating appropriate answers and information based on a user's input using natural language processing technology.

[0307] The "prompt" is an input sentence for instructing the generated AI model to execute a specific task and includes an instruction for the AI to generate an appropriate response.

[0308] "Official sources" refer to information provided by reliable organizations and institutions, and are used to provide accurate information related to the user's inquiry.

[0309] An "ad slot" is a space for advertisements displayed to users, and is used to show ads optimized based on the user's interests and browsing history.

[0310] "Sentiment analysis" is a technology that extracts emotional states from a user's text input and adjusts the tone of information provided and responses based on those emotions.

[0311] This invention is a system that generates an information exchange space for specific industries and sectors and provides appropriate information based on the user's consultation content. Specific embodiments of this system are described below.

[0312] The server receives requests from users and generates an information exchange space for a specific industry or sector. Based on the industry information selected by the user, it retrieves the appropriate template from a database (e.g., MySQL®) and provides a customized space that includes industry-specific information and functions. For example, if the user selects "healthcare industry," a news feed and FAQs related to healthcare will be displayed.

[0313] Next, the server receives the inquiry sent by the user and analyzes the text using a natural language processing library (e.g., spaCy). The analysis tokenizes the text and extracts important keywords such as nouns and verbs. Then, it generates prompts to instruct a generative AI model (e.g., OpenAI®'s GPT-4) to produce an appropriate response. An example of a prompt is, "The user is asking about how to use a new product. Please provide detailed instructions."

[0314] Furthermore, the server analyzes the user's past behavior history to recommend multiple official sources related to the inquiry. This behavioral history data is retrieved from a database and used to select the most relevant sources. Information displayed as ads is optimized using ad optimization algorithms (e.g., Google® Ads API). For example, if a user has previously searched for a specific product, ads related to that product will be displayed preferentially.

[0315] The server also uses a sentiment analysis engine (e.g., IBM Watson® Tone Analyzer) to analyze the emotions from the user's text input. Sentiment analysis extracts the emotional state from the user's input text and provides the results to the generating AI model. Based on the analyzed sentiment data, the tone of the AI ​​response is adjusted. For example, if the user is expressing dissatisfaction, the response is changed to a more polite and friendly tone.

[0316] The terminal provides the user with an interface to an information exchange space. This includes displaying UI components for the user to input information and receive responses from the server via a web browser (e.g., Google Chrome®) or mobile application. The user can view information in real time through the interface and ask additional questions as needed.

[0317] This system aims to meet user needs by processing information in real time based on user input and providing appropriate answers and information sources.

[0318] The flow of a specific process in another embodiment will be explained using Figure 19.

[0319] Step 1:

[0320] The server receives requests from users and generates an information exchange space for a specific industry or sector. As input, it receives industry information selected by the user and retrieves the corresponding template from a database (e.g., MySQL). The template contains industry-specific information and functions, and a customized information exchange space is generated based on this. As output, the server provides the customized information exchange space to the user.

[0321] Step 2:

[0322] The server receives the user's inquiry and analyzes the text using a natural language processing library (e.g., spaCy). It receives the user's inquiry text as input, tokenizes it, and tags its parts of speech. It extracts important keywords and generates prompts to instruct a generative AI model (e.g., OpenAI's GPT-4) to produce appropriate answers. The output is the generated prompt. An example of a prompt is, "The user is asking about how to use a new product. Please provide detailed instructions."

[0323] Step 3:

[0324] The server analyzes the user's past behavior history to recommend multiple official information sources related to the consultation topic. As input, it retrieves the user's behavior history data from a database and processes it to select the most relevant information sources. As output, it generates a list of recommended official information sources. Furthermore, it selects information to display as advertisements and optimizes it using an ad optimization algorithm (e.g., Google Ads API).

[0325] Step 4:

[0326] The server uses a sentiment analysis engine (e.g., IBM Watson Tone Analyzer) to analyze the emotions from the user's text input. It receives the user's text data as input and performs data calculations to extract the emotional state. The output is the analyzed sentiment data. Based on this sentiment data, the tone of the responses provided by the generative AI model is adjusted. For example, if the user is expressing dissatisfaction, the response is changed to a more polite and friendly tone.

[0327] Step 5:

[0328] The terminal provides the user with an interface to the information exchange space. As input, it receives information exchange space data from the server and displays UI components through a web browser (e.g., Google Chrome) or mobile application. As output, it provides an interface where the user can input information and view the server's response in real time. The user can ask additional questions through the interface.

[0329] 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.

[0330] Data generation model 58 is a form of 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> 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.

[0331] Other examples of generative AI include Gemini® (registered trademark) (Internet search). <url: https: gemini.google.com ?hl="ja">) are some examples.

[0332] 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.

[0333] [Second Embodiment]

[0334] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0335] 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.

[0336] 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).

[0337] 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.

[0338] 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.

[0339] 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).

[0340] 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.

[0341] 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.

[0342] 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.

[0343] 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.

[0344] 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.

[0345] Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0346] "Example of form 1"

[0347] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0348] "Example of form 2"

[0349] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0350] The following describes the processing flow for each example of the form.

[0351] "Example of form 1"

[0352] Step 1: Create a room for a specific industry or sector within the messenger app. For example, create a room for the IT industry, a room for the medical industry, etc.

[0353] Step 2: Provide AI answers to the user's inquiries. To do this, an AI engine utilizing GPT4 is used. This AI engine analyzes the user's questions and inquiries and generates appropriate answers.

[0354] Step 3: Recommend official accounts that are likely to resolve the issue in more detail. The AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user.

[0355] Step 4: Designate one of the recommendation slots as an advertising slot. By inserting ads into the recommendation list, it becomes possible to simultaneously increase message subscription revenue from an increase in the number of new friend registrations to the messenger app's official account and friend addition advertising revenue.

[0356] (Example 1)

[0357] Next, we will describe Example 1 of Form Example 1. 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".

[0358] In modern information exchange, there is a need to efficiently acquire information specific to particular fields and easily find relevant information sources. However, conventional systems struggle to provide users with the information they need quickly and accurately, and lack effective means of recommending relevant information sources. Therefore, improving the efficiency of information acquisition for users is a key challenge.

[0359] 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.

[0360] In this invention, the server includes means for generating an information exchange space for a specific field, means for generating an automated response based on information input by a user, and means for recommending multiple information sources related to the input information. This enables users to efficiently acquire information specific to a particular field and easily find related information sources.

[0361] A "specific field" refers to an area of ​​information or activities related to a particular industry or sector.

[0362] An "information exchange space" refers to a virtual environment where users can share information and communicate.

[0363] "User" refers to an individual or organization that uses the system to input information and receive responses.

[0364] "Automated response" refers to answers or information that a system automatically generates based on user input.

[0365] "Information sources" refer to external data and services that may provide the information users are looking for.

[0366] "Recommendation" refers to the act of presenting users with specific information sources or options and encouraging them to make a choice.

[0367] "Promotional information" refers to information intended to inform users about specific products or services and to attract their interest.

[0368] A "communication application" refers to software that allows users to send and receive messages and share information.

[0369] This invention is a system that provides an information exchange space specialized for a specific field. The server operates within a communication application and generates an information exchange space for that specific field. This allows users to efficiently obtain information related to a specific industry or business using their own devices.

[0370] The server uses artificial intelligence (AI) that leverages natural language processing technology to generate automated responses based on information entered by the user. This AI employs a generative AI model, specifically GPT-4. It analyzes questions and inquiries entered by the user through the terminal and generates appropriate answers.

[0371] Furthermore, the server recommends multiple information sources related to the input information. This makes it easy for the user to find relevant information sources. Some of the recommended information includes promotional material, which broadens the range of information sources available and enhances the effectiveness of the promotion.

[0372] For example, if a user asks, "Please tell me about the latest IT technologies using AI," the server will use GPT-4 to generate an answer such as, "One example of the latest IT technologies utilizing AI is data analysis using machine learning." It will also recommend the "AI News Official Account" as a relevant information source and display an advertisement for an "AI technology seminar" as promotional information.

[0373] An example of a prompt message would be, "Please tell me about the latest trends in the IT industry. I'm particularly interested in information about AI technology." Based on this prompt message, the server will provide appropriate information and assist the user in obtaining the information they need.

[0374] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0375] Step 1:

[0376] A user accesses a specific information exchange space within a communication application using a terminal. The user inputs questions or inquiries related to their area of ​​interest in text format. This input serves as the starting point for the system's processing.

[0377] Step 2:

[0378] The server sends the text input received from the user to an artificial intelligence that utilizes natural language processing technology. Specifically, it uses the generative AI model GPT-4 to analyze the input text. This analysis helps the AI ​​understand the user's intent and the content of the question, and processes the data to generate an appropriate response.

[0379] Step 3:

[0380] The server provides the user with a response generated by GPT-4. This response is a direct answer to the user's question and is displayed within the information exchange space. The output response is generated based on the user's input and is intended to satisfy the user's information needs.

[0381] Step 4:

[0382] The server selects multiple information sources relevant to the user's input and presents them to the user as recommendations. These recommendations include highly relevant information sources and official accounts. The server performs data calculations based on the user's input data to select the most relevant information sources.

[0383] Step 5:

[0384] The server includes promotional information as part of its recommendations. This allows users to find relevant information sources while simultaneously receiving promotional information for related products and services. The server processes the data to insert promotional information into the recommendation list.

[0385] Step 6:

[0386] Based on the responses and recommendations provided, users can obtain further information or access relevant sources. This allows users to efficiently acquire information in specific fields.

[0387] (Application Example 1)

[0388] Next, we will describe Application Example 1 of Form Example 1. 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."

[0389] In physical stores, there is a challenge in providing customers with quick and accurate information when they ask questions about products and services. Furthermore, the lack of effective means to communicate relevant product and service information to customers makes it difficult to maximize the promotional effectiveness of stores.

[0390] 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.

[0391] In this invention, the server includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiries in more detail, means for designating one of the recommendation slots as an advertising slot, means for providing real-time answers when customers ask questions about products or services in physical stores, and means for recommending official accounts of related products and services and displaying advertisements. This enables the rapid and accurate provision of information to customers and maximizes the promotional effect of stores.

[0392] A "Specific Industry / Business Room" is a dedicated virtual space created for providing information and consultations related to a specific industry or business.

[0393] "Means of providing AI answers" refers to a function that uses artificial intelligence to generate and provide appropriate answers to user questions and inquiries.

[0394] The "method for recommending multiple official accounts" is a function that selects highly relevant official accounts based on the user's inquiry and recommends them to the user.

[0395] "The method of using one of the recommendation slots as an advertising slot" refers to a function that inserts advertisements into the recommendation list and displays them to the user.

[0396] "A means of providing real-time answers when customers ask questions about products or services in a physical store" refers to a function that provides immediate answers when customers ask questions about products or services within a physical store.

[0397] "A means of recommending and displaying advertisements for official accounts of related products and services" refers to a function that recommends official accounts of related products and services based on the customer's interests and questions, and simultaneously displays advertisements for them.

[0398] The system for implementing this invention includes a program for creating rooms for specific industries and sectors and providing AI-powered answers to user inquiries. The server utilizes a generative AI model to analyze user questions and generate appropriate answers. Specifically, the server operates on the cloud and performs natural language processing using the GPT-4 API. The user's terminal is a mobile device such as a smartphone or tablet, through which the user inputs their questions.

[0399] When a user asks a question about a product or service in a physical store, the terminal sends the question to a server. The server analyzes the question, searches its database for relevant official accounts, and recommends them to the user. The recommendation list also includes advertisements, which are dynamically selected based on the user's interests.

[0400] For example, if a user asks, "How do I use this product?", the server will respond, "This product is ideal for use in XX. For detailed instructions, please see our official account," and recommend the relevant official account. An example of a prompt to the generating AI model would be, "A user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0401] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0402] Step 1:

[0403] Users enter questions about products or services using their devices. The entered questions are saved as text data on the device.

[0404] Step 2:

[0405] The terminal sends the entered question to the server. The server receives this text data and uses a generative AI model to analyze the content of the question. As a result of the analysis, the intent of the question and related keywords are extracted.

[0406] Step 3:

[0407] Based on the analysis results, the server generates an appropriate response using the GPT-4 API. The generated response is stored on the server as text data.

[0408] Step 4:

[0409] The server searches its database for relevant official accounts based on the content of the question. The search results generate a list of highly relevant official accounts.

[0410] Step 5:

[0411] The server sends the generated answers and a list of official accounts to the device. The device receives this data and displays it to the user.

[0412] Step 6:

[0413] The device inserts ads into the recommendation list. The ads are dynamically selected and displayed based on the user's interests.

[0414] Step 7:

[0415] Users view the answers, official accounts, and advertisements displayed through their devices, and follow official accounts or click on advertisements as needed.

[0416] (Example 2)

[0417] Next, we will describe Example 2 of Form 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".

[0418] There is a need to provide a communication space for efficient information exchange and consultation in specific fields, enabling users to quickly and accurately obtain the information they seek. Furthermore, there is a need for methods to effectively present relevant information sources and attract user interest. Additionally, there is a need for means to effectively utilize advertising to increase revenue.

[0419] 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.

[0420] In this invention, the server includes means for generating a communication space in a specific field, means for generating an automatic response based on information input by the user, means for presenting multiple information sources related to the information, means for designating a portion of the presentation space as an advertising space, and means for analyzing the user's input in the communication space and selecting an appropriate information source. This enables the user to efficiently acquire information in a specific field and gain further knowledge through related information sources. Furthermore, it allows for increased revenue through advertising.

[0421] A "specific field" refers to a particular industry, sector, or specialized area, and is the area in which information and activities related to that field take place.

[0422] A "communication space" refers to a digital environment where users can exchange information and seek advice, enabling online dialogue and information sharing.

[0423] "User" refers to an individual or organization that uses the system to input information and receives responses or information sources.

[0424] "Automated response" refers to answers and information generated by artificial intelligence based on user input, and is generated using natural language processing technology.

[0425] "Information sources" refer to media or platforms that provide data and knowledge related to the information that users are seeking.

[0426] A "display frame" refers to a space used to display information sources and advertisements to users, and is an area for providing information visually.

[0427] "Advertising space" refers to a space reserved as part of the display area for displaying advertisements, and is used to increase revenue.

[0428] "Analysis" refers to the process of data processing performed to understand user input and select appropriate responses and information sources.

[0429] This invention is a system for efficiently exchanging information in a specific field, and it operates through the cooperation of three parties: a server, a terminal, and a user.

[0430] The server first creates a communication space for a specific field. This provides a platform for exchanging information related to a particular industry or sector on a digital platform. The server uses a database to manage the communication spaces corresponding to each field and makes them accessible to users.

[0431] The user accesses this communication space using a terminal and inputs information. The information entered by the user is sent to the server. The server analyzes the received information using a generative AI model that utilizes natural language processing technology, specifically GPT-4. Through this analysis, the server understands the user's intent and generates an appropriate automated response.

[0432] Furthermore, the server presents multiple relevant information sources based on the analysis results. This includes a process of selecting highly relevant information sources from the database and presenting them to the user. Some of these presentation slots can display advertisements. This allows users to obtain the information they need while simultaneously gaining new information through relevant advertisements.

[0433] For example, if a user enters "Please tell me about the latest medical technologies," the server will use GPT-4 to generate an automated response such as, "The latest medical technologies attracting attention include AI-powered diagnostic systems and telemedicine." It can also present "medical technology news" as a relevant source of information and display "advertisements from medical device manufacturers" in the advertising slots.

[0434] An example of a prompt might be, "Please tell me about the latest technologies in the IT industry." In response to this prompt, the server will provide appropriate responses and information.

[0435] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0436] Step 1:

[0437] The user accesses the communication space using a terminal and inputs information. The user enters questions or inquiries related to a specific field into a text box and presses the submit button. The entered information is sent from the terminal to the server. The input data consists of the user's questions or inquiries.

[0438] Step 2:

[0439] The server analyzes the user input it receives. Using the generative AI model GPT-4, the server analyzes the user input using natural language processing techniques. This analysis helps the server understand the user's intent and generate an appropriate automated response. The input is the user's question, and the output is the generated automated response.

[0440] Step 3:

[0441] The server selects relevant information sources and presents them to the user. Based on the analysis results, the server searches the database for highly relevant information sources. The selected information sources are presented to the user. The input is the analysis result, and the output is a list of relevant information sources.

[0442] Step 4:

[0443] The server inserts advertisements into the display slots. The server uses a portion of the display slots as advertising space to display advertisements relevant to the user's interests. This allows the user to view both information sources and advertisements simultaneously. The input is data based on the user's interests, and the output is the displayed advertisements.

[0444] Step 5:

[0445] Users review the presented information sources and advertisements and take additional actions as needed. Users can click on information sources of interest to learn more, or explore related services and products through advertisements. The input is the presented information sources and advertisements, and the output is the user's actions.

[0446] (Application Example 2)

[0447] Next, we will describe application example 2 of form example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0448] In physical stores, there is a challenge in that customers have difficulty obtaining product information quickly and accurately. Furthermore, there is a lack of effective means to recommend official sources related to the information customers are seeking. In addition, there is a need for effective information provision methods to improve the in-store customer experience.

[0449] 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.

[0450] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to inquiries made by users, and means for recommending multiple official sources that are likely to resolve the inquiries in more detail. This enhances customer support in physical stores, allowing artificial intelligence to immediately provide answers and recommend relevant official sources for products when a customer enters a question about a product.

[0451] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0452] "User" refers to an individual or group that makes an inquiry using the information exchange space.

[0453] "Inquiry content" refers to information that users input as questions or consultations within the information exchange space.

[0454] "Artificial intelligence response" refers to an automated response generated using a generative AI model in response to a user's inquiry.

[0455] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0456] A "recommended section" is a display area designed to present users with official sources and related information.

[0457] An "advertising slot" is a specific area within the recommended slots that is designated for displaying advertisements.

[0458] "In-store customer support" refers to activities that provide support to customers in actual stores to help them obtain information about products and services.

[0459] "Means of providing an information exchange space" refers to technical means that enable users to access an information exchange space and exchange information.

[0460] A "generative AI model" is an artificial intelligence technology that uses natural language processing to generate answers to user inquiries.

[0461] The system for implementing this invention provides an information exchange space for specific industries and sectors, and generates artificial intelligence-based answers to user inquiries. The server utilizes a generation AI model to analyze user inquiries and generate appropriate answers. Furthermore, the server recommends multiple official information sources related to the inquiry and uses a portion of the recommendation slots as advertising space.

[0462] The server operates within the communication application, and when a user enters a product-related question in a physical store, artificial intelligence provides an immediate answer. This enhances customer support within the physical store. Users can access the information exchange space by scanning a QR code in the store using a smartphone or other device.

[0463] Specifically, the server uses GPT-4 as its generative AI model and analyzes user inquiries using natural language processing techniques. Based on the analysis results, it selects relevant official information sources and recommends them to the user. The recommendation section also includes advertisements for related products.

[0464] For example, if a user asks, "How do I use this product?", the server will generate an answer such as, "This product is used in the following steps," and recommend official information sources related to the product. It will also display advertisements such as, "We also recommend our new product, XX."

[0465] An example of a prompt message is: "The user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0466] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0467] Step 1:

[0468] A user scans a QR code using their smartphone within a physical store. This allows the device to obtain a URL for accessing a specific information exchange space and launch a communication application. The input is the data from the QR code, and the output is access to the information exchange space.

[0469] Step 2:

[0470] The user enters a question about a product within a communication application. The terminal sends this question to the server. The input is the user's question text, and the output is the transmission of the question data to the server.

[0471] Step 3:

[0472] The server inputs the received question into a generating AI model (GPT-4) and analyzes the question using natural language processing. The input is the user's question data, and the output is the analyzed question content.

[0473] Step 4:

[0474] The server generates appropriate answers using an AI model based on the analysis results. The input is the analyzed question content, and the output is the generated answer text.

[0475] Step 5:

[0476] The server searches its database for official information sources related to the question and selects several recommended sources. The input is the parsed question, and the output is a list of recommended sources.

[0477] Step 6:

[0478] The server adds promotional information to the list of recommended information sources and constructs a recommendation box. The input is a list of recommended information sources, and the output is a recommendation box containing promotional information.

[0479] Step 7:

[0480] The server sends the generated answers and suggested boxes to the terminal. The input is the generated answers and suggested boxes, and the output is the data sent to the terminal.

[0481] Step 8:

[0482] The terminal displays the received responses and recommended options to the user. Input is data from the server, and output is information displayed to the user.

[0483] 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.

[0484] "Example of form 1"

[0485] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0486] "Example of form 2"

[0487] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0488] The following describes the processing flow for each example of the form.

[0489] "Example of form 1"

[0490] Step 1: The user enters a room for a specific industry or business and enters their consultation details as text.

[0491] Step 2: The emotion engine analyzes the user's emotions from their text input. For example, from the text "I've been feeling down lately because things haven't been going well at work," it recognizes that the user is feeling down.

[0492] Step 3: The AI ​​provides an answer based on the analyzed emotions. For example, it might provide an answer that responds to the user's emotions, such as, "That sounds tough. What are you having trouble with at work?"

[0493] Step 4: The AI ​​recommends official accounts that are likely to be able to resolve the issue in more detail. At this stage, the AI ​​selects official accounts considering the user's emotions. For example, if the user is feeling down, it might recommend an official account for psychological counseling.

[0494] Step 5: Use one of the recommendation slots as an advertising slot. This ad slot will display ads that are relevant to the user's inquiry and emotions.

[0495] (Example 1)

[0496] Next, we will describe Example 1 of Form Example 1. 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".

[0497] In today's information and communication environment, there is a need to provide a platform for information exchange specializing in specific fields and to offer appropriate and emotionally sensitive responses to the diverse inquiries of users. However, conventional systems often fail to adequately consider users' emotions in their responses and recommend relevant information sources, making it difficult to increase user satisfaction.

[0498] 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.

[0499] In this invention, the server includes means for generating a communication space for exchanging information in a specific field, means for using artificial intelligence to analyze the content of user inquiries and generate responses, and means for analyzing the user's emotions and adjusting the responses. This makes it possible to provide responses that take the user's emotions into consideration and recommend relevant information sources.

[0500] "Specific field" is a concept that refers to information and activities related to a particular industry or sector.

[0501] A "communication space" refers to a virtual environment where users exchange information and communicate.

[0502] "User" refers to an individual or organization that uses the system to obtain information or seek advice.

[0503] "Inquiry content" refers to the questions and consultations that users submit to the system.

[0504] "Artificial intelligence" refers to technology that enables computers to mimic human intellectual activity and perform natural language processing and data analysis.

[0505] "Emotion analysis" refers to a technology that identifies emotions from user input and adjusts responses based on those emotions.

[0506] "Response" refers to the answer or information that the system provides in response to a user's inquiry.

[0507] "Related information sources" refer to external information providers or databases that provide information related to the user's inquiry.

[0508] This invention is a system for exchanging information specialized in a particular field, in which the server, terminal, and user elements work together in coordination.

[0509] The server creates a communication space for exchanging information in a specific field. This allows users to exchange information related to a particular industry or sector. The server operates within the messenger application and is designed to be accessible to users.

[0510] Users access the communication space using a terminal and input questions or inquiries. The user's input is sent to a server for processing. The server uses artificial intelligence, leveraging generative AI models, to analyze the user's inquiry and generate an appropriate response. This AI uses natural language processing technology to understand the user's intent and provide relevant information.

[0511] Furthermore, the server uses an emotion analysis engine to analyze the user's emotions from their input. This makes it possible to generate responses that take the user's feelings into consideration. For example, if a user inputs, "I've been feeling down lately because things haven't been going well at work," the server recognizes this emotion and provides a response such as, "That's tough. What are you having trouble with at work?"

[0512] The server also recommends information sources relevant to the user's inquiry. This includes highly relevant official accounts and external sources. The server can also generate revenue by inserting advertisements into the recommendations.

[0513] For example, if a user enters "I want to learn a new programming language, but I don't know which one to choose," the server will generate a response such as "Python is recommended for beginners" and recommend resources that are helpful for learning programming.

[0514] An example of a prompt message would be, "I've been feeling down lately because things haven't been going well at work. I'd appreciate some advice on what to do."

[0515] The flow of the specific processing in Example 1 will be explained using Figure 15.

[0516] Step 1:

[0517] Users access a specific communication space within a messenger application using their device and input questions or requests for advice. This input is sent to the server in text format.

[0518] Step 2:

[0519] The server analyzes the received user input using a generative AI model. Specifically, it uses natural language processing techniques to understand the intent of the input text and extract relevant information. This analysis provides the foundational data needed to generate appropriate responses to the user's questions.

[0520] Step 3:

[0521] The server uses an emotion analysis engine to analyze user input and determine their emotions. By running the input text through an emotion analysis algorithm, it identifies the user's emotional state (e.g., depressed, happy). This analysis result is then used as data to adjust the response.

[0522] Step 4:

[0523] The server uses a generative AI model to generate responses based on the analysis results. It takes the sentiment analysis results into account to create responses that are sensitive to the user's emotions. For example, if the user is feeling down, it might generate a response such as, "That sounds tough. What are you having trouble with at work?"

[0524] Step 5:

[0525] The server recommends information sources relevant to the user's question. Based on the generated responses and sentiment analysis results, it selects and presents highly relevant official accounts and external sources to the user. Advertisements may also be inserted into these recommendations.

[0526] Step 6:

[0527] Users receive responses and recommendations from the server, and can ask further questions or utilize recommended information sources as needed. This allows users to resolve their questions and obtain the information they need.

[0528] (Application Example 1)

[0529] Next, we will describe Application Example 1 of Form Example 1. 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."

[0530] In today's information and communication environment, users face challenges in efficiently obtaining information about specific industries or sectors and receiving appropriate responses. Furthermore, there is a lack of consideration for user emotions, and improved satisfaction is needed. For information providers, optimizing information provision and advertising to meet user needs is also a challenge.

[0531] 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.

[0532] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to the user's inquiries, and means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results. This enables users to efficiently acquire information and receive appropriate responses that match their emotions.

[0533] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0534] "Users" refers to individuals or corporations who use the information exchange space to seek advice or obtain information.

[0535] "Artificial intelligence response" refers to an answer generated by artificial intelligence in response to a user's question or inquiry.

[0536] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0537] A "recommended section" is a display area designed to present users with official information sources and advertisements.

[0538] An "advertising slot" is an area designated as part of the recommended slots for displaying advertisements.

[0539] "Emotional analysis" is the process of identifying emotions from user input information and evaluating their emotional state.

[0540] "Proposing countermeasures" means presenting appropriate actions or solutions based on the user's feelings and the content of their consultation.

[0541] The system for implementing this invention consists of a server and a terminal working in cooperation. The server creates an information exchange space for a specific industry or sector and receives inquiries from users. The terminal is responsible for transmitting the inquiries entered by users to the server.

[0542] The server utilizes a generative AI model to analyze the received consultation content. This AI model, for example, uses GPT-4 to generate appropriate answers to the user's questions. Furthermore, the server uses an emotion analysis engine to analyze the user's emotions and adjusts the AI ​​answers based on the results. For emotion analysis, emotion analysis libraries such as TextBlob and NLTK can be used.

[0543] For example, if a user inputs "This product was disappointing" through their device, the device sends this information to the server. The server uses an emotion analysis engine to determine that the user is "dissatisfied" and sends a prompt to the AI ​​model asking it to "suggest a solution for dissatisfied customers." The AI ​​model then generates a response such as, "We apologize. We will offer you a 10% discount on your next visit," and sends it to the device.

[0544] In this way, by linking the server and the terminal, users can efficiently obtain information and receive appropriate responses that reflect their emotions.

[0545] The flow of a specific process in Application Example 1 will be explained using Figure 16.

[0546] Step 1:

[0547] Users access an information exchange space for a specific industry or sector using their device and enter their inquiry details. The entered inquiry details are saved as text data on the device.

[0548] Step 2:

[0549] The terminal sends the entered consultation details to the server. The data sent is text data containing the user's consultation details.

[0550] Step 3:

[0551] The server passes the received consultation content to the sentiment analysis engine, which analyzes the user's emotions. The sentiment analysis engine uses TextBlob or NLTK to analyze the text data and outputs the emotional state (e.g., dissatisfaction, joy, sadness, etc.).

[0552] Step 4:

[0553] Based on the sentiment analysis results, the server sends a prompt message to the generative AI model. The prompt message contains instructions for generating a response tailored to the user's emotions. For example, it might send a prompt message such as, "Please suggest a response for a dissatisfied customer."

[0554] Step 5:

[0555] The generative AI model receives a prompt and generates an appropriate response. The AI ​​model uses GPT-4 to generate text based on the prompt and outputs the response to the user.

[0556] Step 6:

[0557] The server sends the generated response to the terminal. The terminal displays the received response to the user, ensuring the user receives appropriate action.

[0558] (Example 2)

[0559] Next, we will describe Example 2 of Form 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".

[0560] In today's communication environment, there is a challenge in that it is difficult for users to efficiently obtain information on specific fields and receive appropriate advice. Furthermore, there is a need to provide appropriate responses that respond to the user's emotions, but conventional systems have not been able to adequately achieve this.

[0561] 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.

[0562] In this invention, the server includes means for creating a communication space for a specific field, means for providing an automated response to information input by a user, means for recommending multiple official sources that are likely to resolve the information in more detail, and means for analyzing the user's emotions and adjusting the response accordingly. This enables the user to efficiently obtain information on a specific field and receive appropriate advice tailored to their emotions.

[0563] A "communication space for a specific field" is a virtual exchange space intended for the purpose of exchanging information related to a particular industry or sector.

[0564] "Information entered by the user" refers to questions and consultations provided by the user through the communication application.

[0565] "Means of providing automated responses" refers to a function that uses a generative AI model to analyze user input information and generate appropriate responses.

[0566] "Methods for recommending multiple official sources" refers to a function that selects and presents highly relevant official information providers to the user based on the information the user inputs.

[0567] "Advertising slots" refer to spaces within recommended information sources where advertisements can be inserted.

[0568] "Means for analyzing user emotions and adjusting responses" refers to a function that analyzes user emotions from input information and adjusts the content and tone of responses based on the results.

[0569] One embodiment of this invention is a system that provides a communication space specialized for a specific field. This system operates in cooperation with three parties: a server, a terminal, and a user.

[0570] The server creates a communication space for a specific field and receives information input by the user. The server uses an AI engine that leverages generative AI models to analyze the user's input and generate automated responses. This AI engine employs advanced natural language processing techniques, such as GPT-4. The server also selects and recommends relevant official information sources based on the user's input. This recommendation list also includes advertisements as promotional space.

[0571] The terminal is responsible for transmitting information entered by the user through a communication application to the server, receiving responses and recommendations from the server, and presenting them to the user. The terminal provides an intuitive interface that users can operate, enabling smooth information exchange.

[0572] Users input questions or inquiries about specific fields through their device. For example, by entering a prompt such as "What are the latest trends in the IT industry?", the AI ​​engine provides relevant information and recommends relevant official sources. Based on this information, users can decide on their next course of action.

[0573] This system allows users to efficiently obtain information in specific fields and receive appropriate advice tailored to their emotions.

[0574] The flow of the specific processing in Example 2 will be explained using Figure 17.

[0575] Step 1:

[0576] Users input questions or inquiries about specific fields through their terminals. The entered information is sent to the server in text format. This input consists of prompts that specifically express the user's questions or inquiries.

[0577] Step 2:

[0578] The server sends the received prompt text to an AI engine that utilizes a generation AI model. The AI ​​engine analyzes the prompt text using natural language processing techniques and generates an appropriate response. This analysis extracts context and keywords from the input text and searches for relevant information based on them. The output is an answer to the user's question.

[0579] Step 3:

[0580] The server receives the response generated by the AI ​​engine and then sends the user's input information to the emotion engine. The emotion engine analyzes the user's emotions from the text and adjusts the AI ​​response based on the results. For example, if the user indicates an emotion such as "depressed," the emotion engine will soften the tone of the response. This process results in an adjusted response that is appropriate to the user's emotions.

[0581] Step 4:

[0582] The server selects highly relevant official information sources based on user input and sentiment analysis results. This involves searching the database for relevant sources and choosing the ones best suited to the user's needs. The selected sources are output as a recommendation list.

[0583] Step 5:

[0584] The server inserts ads into the recommendation list. This involves selecting appropriate ads from a pre-configured ad database and incorporating them as part of the recommendation list. This completes the final recommendation list.

[0585] Step 6:

[0586] The terminal presents the user with the adjusted answers and recommendation list received from the server. The user can then decide on their next action based on this information. The answers and recommendations are displayed on the user's screen as output.

[0587] (Application Example 2)

[0588] Next, we will describe application example 2 of form example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0589] In modern brick-and-mortar stores, promptly and accurately addressing customer questions and concerns is crucial for improving customer satisfaction. However, traditional methods have faced challenges in considering customer emotions and making appropriate suggestions for related products and services. Furthermore, there is a need for effective ways to utilize advertising to increase revenue.

[0590] 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.

[0591] In this invention, the server includes means for creating an information exchange space for a specific industry or sector; means for providing artificial intelligence answers to the user's inquiries; means for recommending multiple official information sources that are likely to resolve the inquiries in more detail; means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results; and means for suggesting relevant products and services in response to the user's questions at a physical store. This enables flexible responses tailored to the customer's emotions, effective suggestions of relevant products, and increased revenue through the use of advertising.

[0592] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0593] "A means of providing AI-powered answers to user inquiries" refers to a function that analyzes user questions and inquiries and generates appropriate answers using artificial intelligence.

[0594] "A means of recommending multiple official sources" refers to a function that selects and presents to the user multiple reliable sources related to the user's consultation content.

[0595] "The method of using one of the recommendation slots as an advertising slot" refers to a function that generates advertising revenue by including advertisements among the recommended information sources.

[0596] "Means for analyzing the user's emotions and adjusting the AI ​​response based on the analysis results" refers to a function that analyzes the user's emotions from their input and adjusts the response generated by the AI ​​based on the results.

[0597] "A means of suggesting relevant products and services in response to customer inquiries at physical stores" refers to a function that suggests relevant products and services in response to questions asked by customers at physical stores.

[0598] The system for implementing this invention operates in a network environment including a server and terminals. The server creates an information exchange space for a specific industry or sector and provides answers using artificial intelligence to the inquiries made by users through the terminals. Specifically, the server utilizes a generative AI model to analyze user input and generate appropriate answers.

[0599] The server also recommends multiple relevant official sources based on the user's inquiry. This includes a function to select and present reliable sources to the user. Furthermore, it is possible to utilize a portion of the recommendation slots as advertising space and generate advertising revenue.

[0600] To analyze the user's emotions, the server uses an emotion analysis engine. This engine analyzes the user's emotions from their text input and adjusts the responses generated by artificial intelligence based on the results. For example, if the user is feeling dissatisfied, it can provide a more empathetic response.

[0601] In physical stores, when a user enters a question using a terminal, the server suggests relevant products and services. This enhances the user's in-store shopping experience.

[0602] For example, if a user asks, "I want to know more about this product," the server will provide detailed product information and suggest related accessories and sets. Also, if a user enters, "Shopping has been stressful lately," the emotion analysis engine will detect the stress and suggest relaxing products or special offers.

[0603] Examples of prompt messages include, "I'd like to know more about this product. Please tell me the details," and "Shopping has been stressful lately. Do you have any recommendations?"

[0604] The flow of a specific process in Application Example 2 will be explained using Figure 18.

[0605] Step 1:

[0606] The user enters a question using a terminal. The entered question is sent to the server as text data.

[0607] Step 2:

[0608] The server inputs the received text data into a generative AI model. The generative AI model analyzes the content of the question and generates an appropriate answer. In this process, it uses natural language processing techniques to understand the intent of the question and extract relevant information. The generated answer is obtained as output.

[0609] Step 3:

[0610] The server uses an emotion analysis engine to analyze the emotions in the user's input text. The user's question text is used as input. The emotion analysis engine identifies the emotions in the text and outputs the results.

[0611] Step 4:

[0612] The server combines the generated responses with the sentiment analysis results to refine the final response for the user. For example, if the user expresses dissatisfaction, it generates a more empathetic response. This refined response is then output.

[0613] Step 5:

[0614] The server recommends multiple relevant official sources based on the user's question. The user's question is used as input. The server consults a database and selects the most relevant sources. A list of recommendations is provided as output.

[0615] Step 6:

[0616] The server utilizes a portion of the recommendation list as ad space, selecting and displaying appropriate ads. User interests and questions are used as input. An ad selection algorithm is used to output the most suitable ads.

[0617] Step 7:

[0618] In a physical store, when a user enters a question using a terminal, the server suggests relevant products and services. The user's question is used as input. The server consults a product database and selects highly relevant products and services. A list of suggestions is provided as output.

[0619] (Other examples)

[0620] Since this is the same as the specific processing described in the other embodiments of the first embodiment above, the explanation will be omitted.

[0621] 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.

[0622] The data generation model 58 is a form of so-called generative AI (Artificial Intelligence). One example of the data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> 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.

[0623] Other examples of generative AI include Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) are some examples.

[0624] 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.

[0625] [Third Embodiment]

[0626] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0627] 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.

[0628] 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).

[0629] 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.

[0630] 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.

[0631] 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).

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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.

[0637] Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0638] "Example of form 1"

[0639] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0640] "Example of form 2"

[0641] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0642] The following describes the processing flow for each example of the form.

[0643] "Example of form 1"

[0644] Step 1: Create a room for a specific industry or sector within the messenger app. For example, create a room for the IT industry, a room for the medical industry, etc.

[0645] Step 2: Provide AI answers to the user's inquiries. To do this, an AI engine utilizing GPT4 is used. This AI engine analyzes the user's questions and inquiries and generates appropriate answers.

[0646] Step 3: Recommend official accounts that are likely to resolve the issue in more detail. The AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user.

[0647] Step 4: Designate one of the recommendation slots as an advertising slot. By inserting ads into the recommendation list, it becomes possible to simultaneously increase message subscription revenue from an increase in the number of new friend registrations to the messenger app's official account and friend addition advertising revenue.

[0648] (Example 1)

[0649] Next, we will describe Embodiment 1 of 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."

[0650] In modern information exchange, there is a need to efficiently acquire information specific to particular fields and easily find relevant information sources. However, conventional systems struggle to provide users with the information they need quickly and accurately, and lack effective means of recommending relevant information sources. Therefore, improving the efficiency of information acquisition for users is a key challenge.

[0651] 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.

[0652] In this invention, the server includes means for generating an information exchange space for a specific field, means for generating an automated response based on information input by a user, and means for recommending multiple information sources related to the input information. This enables users to efficiently acquire information specific to a particular field and easily find related information sources.

[0653] A "specific field" refers to an area of ​​information or activities related to a particular industry or sector.

[0654] An "information exchange space" refers to a virtual environment where users can share information and communicate.

[0655] "User" refers to an individual or organization that uses the system to input information and receive responses.

[0656] "Automated response" refers to answers or information that a system automatically generates based on user input.

[0657] "Information sources" refer to external data and services that may provide the information users are looking for.

[0658] "Recommendation" refers to the act of presenting users with specific information sources or options and encouraging them to make a choice.

[0659] "Promotional information" refers to information intended to inform users about specific products or services and to attract their interest.

[0660] A "communication application" refers to software that allows users to send and receive messages and share information.

[0661] This invention is a system that provides an information exchange space specialized for a specific field. The server operates within a communication application and generates an information exchange space for that specific field. This allows users to efficiently obtain information related to a specific industry or business using their own devices.

[0662] The server uses artificial intelligence (AI) that leverages natural language processing technology to generate automated responses based on information entered by the user. This AI employs a generative AI model, specifically GPT-4. It analyzes questions and inquiries entered by the user through the terminal and generates appropriate answers.

[0663] Furthermore, the server recommends multiple information sources related to the input information. This makes it easy for the user to find relevant information sources. Some of the recommended information includes promotional material, which broadens the range of information sources available and enhances the effectiveness of the promotion.

[0664] For example, if a user asks, "Please tell me about the latest IT technologies using AI," the server will use GPT-4 to generate an answer such as, "One example of the latest IT technologies utilizing AI is data analysis using machine learning." It will also recommend the "AI News Official Account" as a relevant information source and display an advertisement for an "AI technology seminar" as promotional information.

[0665] An example of a prompt message would be, "Please tell me about the latest trends in the IT industry. I'm particularly interested in information about AI technology." Based on this prompt message, the server will provide appropriate information and assist the user in obtaining the information they need.

[0666] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0667] Step 1:

[0668] A user accesses a specific information exchange space within a communication application using a terminal. The user inputs questions or inquiries related to their area of ​​interest in text format. This input serves as the starting point for the system's processing.

[0669] Step 2:

[0670] The server sends the text input received from the user to an artificial intelligence that utilizes natural language processing technology. Specifically, it uses the generative AI model GPT-4 to analyze the input text. This analysis helps the AI ​​understand the user's intent and the content of the question, and processes the data to generate an appropriate response.

[0671] Step 3:

[0672] The server provides the user with a response generated by GPT-4. This response is a direct answer to the user's question and is displayed within the information exchange space. The output response is generated based on the user's input and is intended to satisfy the user's information needs.

[0673] Step 4:

[0674] The server selects multiple information sources relevant to the user's input and presents them to the user as recommendations. These recommendations include highly relevant information sources and official accounts. The server performs data calculations based on the user's input data to select the most relevant information sources.

[0675] Step 5:

[0676] The server includes promotional information as part of its recommendations. This allows users to find relevant information sources while simultaneously receiving promotional information for related products and services. The server processes the data to insert promotional information into the recommendation list.

[0677] Step 6:

[0678] Based on the responses and recommendations provided, users can obtain further information or access relevant sources. This allows users to efficiently acquire information in specific fields.

[0679] (Application Example 1)

[0680] Next, we will describe Application Example 1 of Form 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."

[0681] In physical stores, there is a challenge in providing customers with quick and accurate information when they ask questions about products and services. Furthermore, the lack of effective means to communicate relevant product and service information to customers makes it difficult to maximize the promotional effectiveness of stores.

[0682] 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.

[0683] In this invention, the server includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiries in more detail, means for designating one of the recommendation slots as an advertising slot, means for providing real-time answers when customers ask questions about products or services in physical stores, and means for recommending official accounts of related products and services and displaying advertisements. This enables the rapid and accurate provision of information to customers and maximizes the promotional effect of stores.

[0684] A "Specific Industry / Business Room" is a dedicated virtual space created for providing information and consultations related to a specific industry or business.

[0685] "Means of providing AI answers" refers to a function that uses artificial intelligence to generate and provide appropriate answers to user questions and inquiries.

[0686] The "method for recommending multiple official accounts" is a function that selects highly relevant official accounts based on the user's inquiry and recommends them to the user.

[0687] "The method of using one of the recommendation slots as an advertising slot" refers to a function that inserts advertisements into the recommendation list and displays them to the user.

[0688] "A means of providing real-time answers when customers ask questions about products or services in a physical store" refers to a function that provides immediate answers when customers ask questions about products or services within a physical store.

[0689] "A means of recommending and displaying advertisements for official accounts of related products and services" refers to a function that recommends official accounts of related products and services based on the customer's interests and questions, and simultaneously displays advertisements for them.

[0690] The system for implementing this invention includes a program for creating rooms for specific industries and sectors and providing AI-powered answers to user inquiries. The server utilizes a generative AI model to analyze user questions and generate appropriate answers. Specifically, the server operates on the cloud and performs natural language processing using the GPT-4 API. The user's terminal is a mobile device such as a smartphone or tablet, through which the user inputs their questions.

[0691] When a user asks a question about a product or service in a physical store, the terminal sends the question to a server. The server analyzes the question, searches its database for relevant official accounts, and recommends them to the user. The recommendation list also includes advertisements, which are dynamically selected based on the user's interests.

[0692] For example, if a user asks, "How do I use this product?", the server will respond, "This product is ideal for use in XX. For detailed instructions, please see our official account," and recommend the relevant official account. An example of a prompt to the generating AI model would be, "A user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0693] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0694] Step 1:

[0695] Users enter questions about products or services using their devices. The entered questions are saved as text data on the device.

[0696] Step 2:

[0697] The terminal sends the entered question to the server. The server receives this text data and uses a generative AI model to analyze the content of the question. As a result of the analysis, the intent of the question and related keywords are extracted.

[0698] Step 3:

[0699] Based on the analysis results, the server generates an appropriate response using the GPT-4 API. The generated response is stored on the server as text data.

[0700] Step 4:

[0701] The server searches its database for relevant official accounts based on the content of the question. The search results generate a list of highly relevant official accounts.

[0702] Step 5:

[0703] The server sends the generated answers and a list of official accounts to the device. The device receives this data and displays it to the user.

[0704] Step 6:

[0705] The device inserts ads into the recommendation list. The ads are dynamically selected and displayed based on the user's interests.

[0706] Step 7:

[0707] Users view the answers, official accounts, and advertisements displayed through their devices, and follow official accounts or click on advertisements as needed.

[0708] (Example 2)

[0709] Next, we will describe Example 2 of the morphological example. 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."

[0710] There is a need to provide a communication space for efficient information exchange and consultation in specific fields, enabling users to quickly and accurately obtain the information they seek. Furthermore, there is a need for methods to effectively present relevant information sources and attract user interest. Additionally, there is a need for means to effectively utilize advertising to increase revenue.

[0711] 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.

[0712] In this invention, the server includes means for generating a communication space in a specific field, means for generating an automatic response based on information input by the user, means for presenting multiple information sources related to the information, means for designating a portion of the presentation space as an advertising space, and means for analyzing the user's input in the communication space and selecting an appropriate information source. This enables the user to efficiently acquire information in a specific field and gain further knowledge through related information sources. Furthermore, it allows for increased revenue through advertising.

[0713] A "specific field" refers to a particular industry, sector, or specialized area, and is the area in which information and activities related to that field take place.

[0714] A "communication space" refers to a digital environment where users can exchange information and seek advice, enabling online dialogue and information sharing.

[0715] "User" refers to an individual or organization that uses the system to input information and receives responses or information sources.

[0716] "Automated response" refers to answers and information generated by artificial intelligence based on user input, and is generated using natural language processing technology.

[0717] "Information sources" refer to media or platforms that provide data and knowledge related to the information that users are seeking.

[0718] A "display frame" refers to a space used to display information sources and advertisements to users, and is an area for providing information visually.

[0719] "Advertising space" refers to a space reserved as part of the display area for displaying advertisements, and is used to increase revenue.

[0720] "Analysis" refers to the process of data processing performed to understand user input and select appropriate responses and information sources.

[0721] This invention is a system for efficiently exchanging information in a specific field, and it operates through the cooperation of three parties: a server, a terminal, and a user.

[0722] The server first creates a communication space for a specific field. This provides a platform for exchanging information related to a particular industry or sector on a digital platform. The server uses a database to manage the communication spaces corresponding to each field and makes them accessible to users.

[0723] The user accesses this communication space using a terminal and inputs information. The information entered by the user is sent to the server. The server analyzes the received information using a generative AI model that utilizes natural language processing technology, specifically GPT-4. Through this analysis, the server understands the user's intent and generates an appropriate automated response.

[0724] Furthermore, the server presents multiple relevant information sources based on the analysis results. This includes a process of selecting highly relevant information sources from the database and presenting them to the user. Some of these presentation slots can display advertisements. This allows users to obtain the information they need while simultaneously gaining new information through relevant advertisements.

[0725] For example, if a user enters "Please tell me about the latest medical technologies," the server will use GPT-4 to generate an automated response such as, "The latest medical technologies attracting attention include AI-powered diagnostic systems and telemedicine." It can also present "medical technology news" as a relevant source of information and display "advertisements from medical device manufacturers" in the advertising slots.

[0726] An example of a prompt might be, "Please tell me about the latest technologies in the IT industry." In response to this prompt, the server will provide appropriate responses and information.

[0727] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0728] Step 1:

[0729] The user accesses the communication space using a terminal and inputs information. The user enters questions or inquiries related to a specific field into a text box and presses the submit button. The entered information is sent from the terminal to the server. The input data consists of the user's questions or inquiries.

[0730] Step 2:

[0731] The server analyzes the user input it receives. Using the generative AI model GPT-4, the server analyzes the user input using natural language processing techniques. This analysis helps the server understand the user's intent and generate an appropriate automated response. The input is the user's question, and the output is the generated automated response.

[0732] Step 3:

[0733] The server selects relevant information sources and presents them to the user. Based on the analysis results, the server searches the database for highly relevant information sources. The selected information sources are presented to the user. The input is the analysis result, and the output is a list of relevant information sources.

[0734] Step 4:

[0735] The server inserts advertisements into the display slots. The server uses a portion of the display slots as advertising space to display advertisements relevant to the user's interests. This allows the user to view both information sources and advertisements simultaneously. The input is data based on the user's interests, and the output is the displayed advertisements.

[0736] Step 5:

[0737] Users review the presented information sources and advertisements and take additional actions as needed. Users can click on information sources of interest to learn more, or explore related services and products through advertisements. The input is the presented information sources and advertisements, and the output is the user's actions.

[0738] (Application Example 2)

[0739] Next, we will describe application example 2 of form 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."

[0740] In physical stores, there is a challenge in that customers have difficulty obtaining product information quickly and accurately. Furthermore, there is a lack of effective means to recommend official sources related to the information customers are seeking. In addition, there is a need for effective information provision methods to improve the in-store customer experience.

[0741] 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.

[0742] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to inquiries made by users, and means for recommending multiple official sources that are likely to resolve the inquiries in more detail. This enhances customer support in physical stores, allowing artificial intelligence to immediately provide answers and recommend relevant official sources for products when a customer enters a question about a product.

[0743] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0744] "User" refers to an individual or group that makes an inquiry using the information exchange space.

[0745] "Inquiry content" refers to information that users input as questions or consultations within the information exchange space.

[0746] "Artificial intelligence response" refers to an automated response generated using a generative AI model in response to a user's inquiry.

[0747] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0748] A "recommended section" is a display area designed to present users with official sources and related information.

[0749] An "advertising slot" is a specific area within the recommended slots that is designated for displaying advertisements.

[0750] "In-store customer support" refers to activities that provide support to customers in actual stores to help them obtain information about products and services.

[0751] "Means of providing an information exchange space" refers to technical means that enable users to access an information exchange space and exchange information.

[0752] A "generative AI model" is an artificial intelligence technology that uses natural language processing to generate answers to user inquiries.

[0753] The system for implementing this invention provides an information exchange space for specific industries and sectors, and generates artificial intelligence-based answers to user inquiries. The server utilizes a generation AI model to analyze user inquiries and generate appropriate answers. Furthermore, the server recommends multiple official information sources related to the inquiry and uses a portion of the recommendation slots as advertising space.

[0754] The server operates within the communication application, and when a user enters a product-related question in a physical store, artificial intelligence provides an immediate answer. This enhances customer support within the physical store. Users can access the information exchange space by scanning a QR code in the store using a smartphone or other device.

[0755] Specifically, the server uses GPT-4 as its generative AI model and analyzes user inquiries using natural language processing techniques. Based on the analysis results, it selects relevant official information sources and recommends them to the user. The recommendation section also includes advertisements for related products.

[0756] For example, if a user asks, "How do I use this product?", the server will generate an answer such as, "This product is used in the following steps," and recommend official information sources related to the product. It will also display advertisements such as, "We also recommend our new product, XX."

[0757] An example of a prompt message is: "The user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0758] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0759] Step 1:

[0760] A user scans a QR code using their smartphone within a physical store. This allows the device to obtain a URL for accessing a specific information exchange space and launch a communication application. The input is the data from the QR code, and the output is access to the information exchange space.

[0761] Step 2:

[0762] The user enters a question about a product within a communication application. The terminal sends this question to the server. The input is the user's question text, and the output is the transmission of the question data to the server.

[0763] Step 3:

[0764] The server inputs the received question into a generating AI model (GPT-4) and analyzes the question using natural language processing. The input is the user's question data, and the output is the analyzed question content.

[0765] Step 4:

[0766] The server generates appropriate answers using an AI model based on the analysis results. The input is the analyzed question content, and the output is the generated answer text.

[0767] Step 5:

[0768] The server searches its database for official information sources related to the question and selects several recommended sources. The input is the parsed question, and the output is a list of recommended sources.

[0769] Step 6:

[0770] The server adds promotional information to the list of recommended information sources and constructs a recommendation box. The input is a list of recommended information sources, and the output is a recommendation box containing promotional information.

[0771] Step 7:

[0772] The server sends the generated answers and suggested boxes to the terminal. The input is the generated answers and suggested boxes, and the output is the data sent to the terminal.

[0773] Step 8:

[0774] The terminal displays the received responses and recommended options to the user. Input is data from the server, and output is information displayed to the user.

[0775] 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.

[0776] "Example of form 1"

[0777] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0778] "Example of form 2"

[0779] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[0780] The following describes the processing flow for each example of the form.

[0781] "Example of form 1"

[0782] Step 1: The user enters a room for a specific industry or business and enters their consultation details as text.

[0783] Step 2: The emotion engine analyzes the user's emotions from their text input. For example, from the text "I've been feeling down lately because things haven't been going well at work," it recognizes that the user is feeling down.

[0784] Step 3: The AI ​​provides an answer based on the analyzed emotions. For example, it might provide an answer that responds to the user's emotions, such as, "That sounds tough. What are you having trouble with at work?"

[0785] Step 4: The AI ​​recommends official accounts that are likely to be able to resolve the issue in more detail. At this stage, the AI ​​selects official accounts considering the user's emotions. For example, if the user is feeling down, it might recommend an official account for psychological counseling.

[0786] Step 5: Use one of the recommendation slots as an advertising slot. This ad slot will display ads that are relevant to the user's inquiry and emotions.

[0787] (Example 1)

[0788] Next, we will describe Embodiment 1 of 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."

[0789] In today's information and communication environment, there is a need to provide a platform for information exchange specializing in specific fields and to offer appropriate and emotionally sensitive responses to the diverse inquiries of users. However, conventional systems often fail to adequately consider users' emotions in their responses and recommend relevant information sources, making it difficult to increase user satisfaction.

[0790] 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.

[0791] In this invention, the server includes means for generating a communication space for exchanging information in a specific field, means for using artificial intelligence to analyze the content of user inquiries and generate responses, and means for analyzing the user's emotions and adjusting the responses. This makes it possible to provide responses that take the user's emotions into consideration and recommend relevant information sources.

[0792] "Specific field" is a concept that refers to information and activities related to a particular industry or sector.

[0793] A "communication space" refers to a virtual environment where users exchange information and communicate.

[0794] "User" refers to an individual or organization that uses the system to obtain information or seek advice.

[0795] "Inquiry content" refers to the questions and consultations that users submit to the system.

[0796] "Artificial intelligence" refers to technology that enables computers to mimic human intellectual activity and perform natural language processing and data analysis.

[0797] "Emotion analysis" refers to a technology that identifies emotions from user input and adjusts responses based on those emotions.

[0798] "Response" refers to the answer or information that the system provides in response to a user's inquiry.

[0799] "Related information sources" refer to external information providers or databases that provide information related to the user's inquiry.

[0800] This invention is a system for exchanging information specialized in a particular field, in which the server, terminal, and user elements work together in coordination.

[0801] The server creates a communication space for exchanging information in a specific field. This allows users to exchange information related to a particular industry or sector. The server operates within the messenger application and is designed to be accessible to users.

[0802] Users access the communication space using a terminal and input questions or inquiries. The user's input is sent to a server for processing. The server uses artificial intelligence, leveraging generative AI models, to analyze the user's inquiry and generate an appropriate response. This AI uses natural language processing technology to understand the user's intent and provide relevant information.

[0803] Furthermore, the server uses an emotion analysis engine to analyze the user's emotions from their input. This makes it possible to generate responses that take the user's feelings into consideration. For example, if a user inputs, "I've been feeling down lately because things haven't been going well at work," the server recognizes this emotion and provides a response such as, "That's tough. What are you having trouble with at work?"

[0804] The server also recommends information sources relevant to the user's inquiry. This includes highly relevant official accounts and external sources. The server can also generate revenue by inserting advertisements into the recommendations.

[0805] For example, if a user enters "I want to learn a new programming language, but I don't know which one to choose," the server will generate a response such as "Python is recommended for beginners" and recommend resources that are helpful for learning programming.

[0806] An example of a prompt message would be, "I've been feeling down lately because things haven't been going well at work. I'd appreciate some advice on what to do."

[0807] The flow of the specific processing in Example 1 will be explained using Figure 15.

[0808] Step 1:

[0809] Users access a specific communication space within a messenger application using their device and input questions or requests for advice. This input is sent to the server in text format.

[0810] Step 2:

[0811] The server analyzes the received user input using a generative AI model. Specifically, it uses natural language processing techniques to understand the intent of the input text and extract relevant information. This analysis provides the foundational data needed to generate appropriate responses to the user's questions.

[0812] Step 3:

[0813] The server uses an emotion analysis engine to analyze user input and determine their emotions. By running the input text through an emotion analysis algorithm, it identifies the user's emotional state (e.g., depressed, happy). This analysis result is then used as data to adjust the response.

[0814] Step 4:

[0815] The server uses a generative AI model to generate responses based on the analysis results. It takes the sentiment analysis results into account to create responses that are sensitive to the user's emotions. For example, if the user is feeling down, it might generate a response such as, "That sounds tough. What are you having trouble with at work?"

[0816] Step 5:

[0817] The server recommends information sources relevant to the user's question. Based on the generated responses and sentiment analysis results, it selects and presents highly relevant official accounts and external sources to the user. Advertisements may also be inserted into these recommendations.

[0818] Step 6:

[0819] Users receive responses and recommendations from the server, and can ask further questions or utilize recommended information sources as needed. This allows users to resolve their questions and obtain the information they need.

[0820] (Application Example 1)

[0821] Next, we will describe Application Example 1 of Form 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."

[0822] In today's information and communication environment, users face challenges in efficiently obtaining information about specific industries or sectors and receiving appropriate responses. Furthermore, there is a lack of consideration for user emotions, and improved satisfaction is needed. For information providers, optimizing information provision and advertising to meet user needs is also a challenge.

[0823] 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.

[0824] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to the user's inquiries, and means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results. This enables users to efficiently acquire information and receive appropriate responses that match their emotions.

[0825] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0826] "Users" refers to individuals or corporations who use the information exchange space to seek advice or obtain information.

[0827] "Artificial intelligence response" refers to an answer generated by artificial intelligence in response to a user's question or inquiry.

[0828] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[0829] A "recommended section" is a display area designed to present users with official information sources and advertisements.

[0830] An "advertising slot" is an area designated as part of the recommended slots for displaying advertisements.

[0831] "Emotional analysis" is the process of identifying emotions from user input information and evaluating their emotional state.

[0832] "Proposing countermeasures" means presenting appropriate actions or solutions based on the user's feelings and the content of their consultation.

[0833] The system for implementing this invention consists of a server and a terminal working in cooperation. The server creates an information exchange space for a specific industry or sector and receives inquiries from users. The terminal is responsible for transmitting the inquiries entered by users to the server.

[0834] The server utilizes a generative AI model to analyze the received consultation content. This AI model, for example, uses GPT-4 to generate appropriate answers to the user's questions. Furthermore, the server uses an emotion analysis engine to analyze the user's emotions and adjusts the AI ​​answers based on the results. For emotion analysis, emotion analysis libraries such as TextBlob and NLTK can be used.

[0835] For example, if a user inputs "This product was disappointing" through their device, the device sends this information to the server. The server uses an emotion analysis engine to determine that the user is "dissatisfied" and sends a prompt to the AI ​​model asking it to "suggest a solution for dissatisfied customers." The AI ​​model then generates a response such as, "We apologize. We will offer you a 10% discount on your next visit," and sends it to the device.

[0836] In this way, by linking the server and the terminal, users can efficiently obtain information and receive appropriate responses that reflect their emotions.

[0837] The flow of a specific process in Application Example 1 will be explained using Figure 16.

[0838] Step 1:

[0839] Users access an information exchange space for a specific industry or sector using their device and enter their inquiry details. The entered inquiry details are saved as text data on the device.

[0840] Step 2:

[0841] The terminal sends the entered consultation details to the server. The data sent is text data containing the user's consultation details.

[0842] Step 3:

[0843] The server passes the received consultation content to the sentiment analysis engine, which analyzes the user's emotions. The sentiment analysis engine uses TextBlob or NLTK to analyze the text data and outputs the emotional state (e.g., dissatisfaction, joy, sadness, etc.).

[0844] Step 4:

[0845] Based on the sentiment analysis results, the server sends a prompt message to the generative AI model. The prompt message contains instructions for generating a response tailored to the user's emotions. For example, it might send a prompt message such as, "Please suggest a response for a dissatisfied customer."

[0846] Step 5:

[0847] The generative AI model receives a prompt and generates an appropriate response. The AI ​​model uses GPT-4 to generate text based on the prompt and outputs the response to the user.

[0848] Step 6:

[0849] The server sends the generated response to the terminal. The terminal displays the received response to the user, ensuring the user receives appropriate action.

[0850] (Example 2)

[0851] Next, we will describe Example 2 of the morphological example. 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."

[0852] In today's communication environment, there is a challenge in that it is difficult for users to efficiently obtain information on specific fields and receive appropriate advice. Furthermore, there is a need to provide appropriate responses that respond to the user's emotions, but conventional systems have not been able to adequately achieve this.

[0853] 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.

[0854] In this invention, the server includes means for creating a communication space for a specific field, means for providing an automated response to information input by a user, means for recommending multiple official sources that are likely to resolve the information in more detail, and means for analyzing the user's emotions and adjusting the response accordingly. This enables the user to efficiently obtain information on a specific field and receive appropriate advice tailored to their emotions.

[0855] A "communication space for a specific field" is a virtual exchange space intended for the purpose of exchanging information related to a particular industry or sector.

[0856] "Information entered by the user" refers to questions and consultations provided by the user through the communication application.

[0857] "Means of providing automated responses" refers to a function that uses a generative AI model to analyze user input information and generate appropriate responses.

[0858] "Methods for recommending multiple official sources" refers to a function that selects and presents highly relevant official information providers to the user based on the information the user inputs.

[0859] "Advertising slots" refer to spaces within recommended information sources where advertisements can be inserted.

[0860] "Means for analyzing user emotions and adjusting responses" refers to a function that analyzes user emotions from input information and adjusts the content and tone of responses based on the results.

[0861] One embodiment of this invention is a system that provides a communication space specialized for a specific field. This system operates in cooperation with three parties: a server, a terminal, and a user.

[0862] The server creates a communication space for a specific field and receives information input by the user. The server uses an AI engine that leverages generative AI models to analyze the user's input and generate automated responses. This AI engine employs advanced natural language processing techniques, such as GPT-4. The server also selects and recommends relevant official information sources based on the user's input. This recommendation list also includes advertisements as promotional space.

[0863] The terminal is responsible for transmitting information entered by the user through a communication application to the server, receiving responses and recommendations from the server, and presenting them to the user. The terminal provides an intuitive interface that users can operate, enabling smooth information exchange.

[0864] Users input questions or inquiries about specific fields through their device. For example, by entering a prompt such as "What are the latest trends in the IT industry?", the AI ​​engine provides relevant information and recommends relevant official sources. Based on this information, users can decide on their next course of action.

[0865] This system allows users to efficiently obtain information in specific fields and receive appropriate advice tailored to their emotions.

[0866] The flow of the specific processing in Example 2 will be explained using Figure 17.

[0867] Step 1:

[0868] Users input questions or inquiries about specific fields through their terminals. The entered information is sent to the server in text format. This input consists of prompts that specifically express the user's questions or inquiries.

[0869] Step 2:

[0870] The server sends the received prompt text to an AI engine that utilizes a generation AI model. The AI ​​engine analyzes the prompt text using natural language processing techniques and generates an appropriate response. This analysis extracts context and keywords from the input text and searches for relevant information based on them. The output is an answer to the user's question.

[0871] Step 3:

[0872] The server receives the response generated by the AI ​​engine and then sends the user's input information to the emotion engine. The emotion engine analyzes the user's emotions from the text and adjusts the AI ​​response based on the results. For example, if the user indicates an emotion such as "depressed," the emotion engine will soften the tone of the response. This process results in an adjusted response that is appropriate to the user's emotions.

[0873] Step 4:

[0874] The server selects highly relevant official information sources based on user input and sentiment analysis results. This involves searching the database for relevant sources and choosing the ones best suited to the user's needs. The selected sources are output as a recommendation list.

[0875] Step 5:

[0876] The server inserts ads into the recommendation list. This involves selecting appropriate ads from a pre-configured ad database and incorporating them as part of the recommendation list. This completes the final recommendation list.

[0877] Step 6:

[0878] The terminal presents the user with the adjusted answers and recommendation list received from the server. The user can then decide on their next action based on this information. The answers and recommendations are displayed on the user's screen as output.

[0879] (Application Example 2)

[0880] Next, we will describe application example 2 of form 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."

[0881] In modern brick-and-mortar stores, promptly and accurately addressing customer questions and concerns is crucial for improving customer satisfaction. However, traditional methods have faced challenges in considering customer emotions and making appropriate suggestions for related products and services. Furthermore, there is a need for effective ways to utilize advertising to increase revenue.

[0882] 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.

[0883] In this invention, the server includes means for creating an information exchange space for a specific industry or sector; means for providing artificial intelligence answers to the user's inquiries; means for recommending multiple official information sources that are likely to resolve the inquiries in more detail; means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results; and means for suggesting relevant products and services in response to the user's questions at a physical store. This enables flexible responses tailored to the customer's emotions, effective suggestions of relevant products, and increased revenue through the use of advertising.

[0884] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[0885] "A means of providing AI-powered answers to user inquiries" refers to a function that analyzes user questions and inquiries and generates appropriate answers using artificial intelligence.

[0886] "A means of recommending multiple official sources" refers to a function that selects and presents to the user multiple reliable sources related to the user's consultation content.

[0887] "The method of using one of the recommendation slots as an advertising slot" refers to a function that generates advertising revenue by including advertisements among the recommended information sources.

[0888] "Means for analyzing the user's emotions and adjusting the AI ​​response based on the analysis results" refers to a function that analyzes the user's emotions from their input and adjusts the response generated by the AI ​​based on the results.

[0889] "A means of suggesting relevant products and services in response to customer inquiries at physical stores" refers to a function that suggests relevant products and services in response to questions asked by customers at physical stores.

[0890] The system for implementing this invention operates in a network environment including a server and terminals. The server creates an information exchange space for a specific industry or sector and provides answers using artificial intelligence to the inquiries made by users through the terminals. Specifically, the server utilizes a generative AI model to analyze user input and generate appropriate answers.

[0891] The server also recommends multiple relevant official sources based on the user's inquiry. This includes a function to select and present reliable sources to the user. Furthermore, it is possible to utilize a portion of the recommendation slots as advertising space and generate advertising revenue.

[0892] To analyze the user's emotions, the server uses an emotion analysis engine. This engine analyzes the user's emotions from their text input and adjusts the responses generated by artificial intelligence based on the results. For example, if the user is feeling dissatisfied, it can provide a more empathetic response.

[0893] In physical stores, when a user enters a question using a terminal, the server suggests relevant products and services. This enhances the user's in-store shopping experience.

[0894] For example, if a user asks, "I want to know more about this product," the server will provide detailed product information and suggest related accessories and sets. Also, if a user enters, "Shopping has been stressful lately," the emotion analysis engine will detect the stress and suggest relaxing products or special offers.

[0895] Examples of prompt messages include, "I'd like to know more about this product. Please tell me the details," and "Shopping has been stressful lately. Do you have any recommendations?"

[0896] The flow of a specific process in Application Example 2 will be explained using Figure 18.

[0897] Step 1:

[0898] The user enters a question using a terminal. The entered question is sent to the server as text data.

[0899] Step 2:

[0900] The server inputs the received text data into a generative AI model. The generative AI model analyzes the content of the question and generates an appropriate answer. In this process, it uses natural language processing techniques to understand the intent of the question and extract relevant information. The generated answer is obtained as output.

[0901] Step 3:

[0902] The server uses an emotion analysis engine to analyze the emotions in the user's input text. The user's question text is used as input. The emotion analysis engine identifies the emotions in the text and outputs the results.

[0903] Step 4:

[0904] The server combines the generated responses with the sentiment analysis results to refine the final response for the user. For example, if the user expresses dissatisfaction, it generates a more empathetic response. This refined response is then output.

[0905] Step 5:

[0906] The server recommends multiple relevant official sources based on the user's question. The user's question is used as input. The server consults a database and selects the most relevant sources. A list of recommendations is provided as output.

[0907] Step 6:

[0908] The server utilizes a portion of the recommendation list as ad space, selecting and displaying appropriate ads. User interests and questions are used as input. An ad selection algorithm is used to output the most suitable ads.

[0909] Step 7:

[0910] In a physical store, when a user enters a question using a terminal, the server suggests relevant products and services. The user's question is used as input. The server consults a product database and selects highly relevant products and services. A list of suggestions is provided as output.

[0911] (Other examples)

[0912] Since this is the same as the specific processing described in the other embodiments of the first embodiment above, the explanation will be omitted.

[0913] 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.

[0914] The data generation model 58 is a form of so-called generative AI (Artificial Intelligence). One example of the data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> 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.

[0915] Other examples of generative AI include Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) are some examples.

[0916] 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.

[0917] [Fourth Embodiment]

[0918] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0919] 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.

[0920] 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).

[0921] 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.

[0922] 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.

[0923] 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).

[0924] 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.

[0925] 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.

[0926] 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.

[0927] 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.

[0928] 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.

[0929] 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.

[0930] Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0931] "Example of form 1"

[0932] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0933] "Example of form 2"

[0934] One embodiment of the present invention involves creating dedicated chat rooms within a messenger app as a means of creating rooms for specific industries or sectors. For example, rooms for the IT industry, the medical industry, etc., are created. An AI engine utilizing GPT4 is used as a means of providing AI answers to the content of user inquiries. This AI engine analyzes the user's questions and inquiries and generates appropriate answers. As a means of recommending official accounts that are likely to resolve the inquiry in more detail, the AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user. As a means of using one of the recommendation slots as an advertising slot, an advertisement is inserted into the recommendation list. This makes it possible to simultaneously increase message charges from an increase in the number of new friend registrations to the messenger app's official accounts and friend addition advertising revenue.

[0935] The following describes the processing flow for each example of the form.

[0936] "Example of form 1"

[0937] Step 1: Create a room for a specific industry or sector within the messenger app. For example, create a room for the IT industry, a room for the medical industry, etc.

[0938] Step 2: Provide AI answers to the user's inquiries. To do this, an AI engine utilizing GPT4 is used. This AI engine analyzes the user's questions and inquiries and generates appropriate answers.

[0939] Step 3: Recommend official accounts that are likely to resolve the issue in more detail. The AI ​​engine selects official accounts that are highly relevant to the inquiry and recommends them to the user.

[0940] Step 4: Designate one of the recommendation slots as an advertising slot. By inserting ads into the recommendation list, it becomes possible to simultaneously increase message subscription revenue from an increase in the number of new friend registrations to the messenger app's official account and friend addition advertising revenue.

[0941] (Example 1)

[0942] Next, we will describe Embodiment 1 of Example Form 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0943] In modern information exchange, there is a need to efficiently acquire information specific to particular fields and easily find relevant information sources. However, conventional systems struggle to provide users with the information they need quickly and accurately, and lack effective means of recommending relevant information sources. Therefore, improving the efficiency of information acquisition for users is a key challenge.

[0944] 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.

[0945] In this invention, the server includes means for generating an information exchange space for a specific field, means for generating an automated response based on information input by a user, and means for recommending multiple information sources related to the input information. This enables users to efficiently acquire information specific to a particular field and easily find related information sources.

[0946] A "specific field" refers to an area of ​​information or activities related to a particular industry or sector.

[0947] An "information exchange space" refers to a virtual environment where users can share information and communicate.

[0948] "User" refers to an individual or organization that uses the system to input information and receive responses.

[0949] "Automated response" refers to answers or information that a system automatically generates based on user input.

[0950] "Information sources" refer to external data and services that may provide the information users are looking for.

[0951] "Recommendation" refers to the act of presenting users with specific information sources or options and encouraging them to make a choice.

[0952] "Promotional information" refers to information intended to inform users about specific products or services and to attract their interest.

[0953] A "communication application" refers to software that allows users to send and receive messages and share information.

[0954] This invention is a system that provides an information exchange space specialized for a specific field. The server operates within a communication application and generates an information exchange space for that specific field. This allows users to efficiently obtain information related to a specific industry or business using their own devices.

[0955] The server uses artificial intelligence (AI) that leverages natural language processing technology to generate automated responses based on information entered by the user. This AI employs a generative AI model, specifically GPT-4. It analyzes questions and inquiries entered by the user through the terminal and generates appropriate answers.

[0956] Furthermore, the server recommends multiple information sources related to the input information. This makes it easy for the user to find relevant information sources. Some of the recommended information includes promotional material, which broadens the range of information sources available and enhances the effectiveness of the promotion.

[0957] For example, if a user asks, "Please tell me about the latest IT technologies using AI," the server will use GPT-4 to generate an answer such as, "One example of the latest IT technologies utilizing AI is data analysis using machine learning." It will also recommend the "AI News Official Account" as a relevant information source and display an advertisement for an "AI technology seminar" as promotional information.

[0958] An example of a prompt message would be, "Please tell me about the latest trends in the IT industry. I'm particularly interested in information about AI technology." Based on this prompt message, the server will provide appropriate information and assist the user in obtaining the information they need.

[0959] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0960] Step 1:

[0961] A user accesses a specific information exchange space within a communication application using a terminal. The user inputs questions or inquiries related to their area of ​​interest in text format. This input serves as the starting point for the system's processing.

[0962] Step 2:

[0963] The server sends the text input received from the user to an artificial intelligence that utilizes natural language processing technology. Specifically, it uses the generative AI model GPT-4 to analyze the input text. This analysis helps the AI ​​understand the user's intent and the content of the question, and processes the data to generate an appropriate response.

[0964] Step 3:

[0965] The server provides the user with a response generated by GPT-4. This response is a direct answer to the user's question and is displayed within the information exchange space. The output response is generated based on the user's input and is intended to satisfy the user's information needs.

[0966] Step 4:

[0967] The server selects multiple information sources relevant to the user's input and presents them to the user as recommendations. These recommendations include highly relevant information sources and official accounts. The server performs data calculations based on the user's input data to select the most relevant information sources.

[0968] Step 5:

[0969] The server includes promotional information as part of its recommendations. This allows users to find relevant information sources while simultaneously receiving promotional information for related products and services. The server processes the data to insert promotional information into the recommendation list.

[0970] Step 6:

[0971] Based on the responses and recommendations provided, users can obtain further information or access relevant sources. This allows users to efficiently acquire information in specific fields.

[0972] (Application Example 1)

[0973] Next, we will describe Application Example 1 of Form 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".

[0974] In physical stores, there is a challenge in providing customers with quick and accurate information when they ask questions about products and services. Furthermore, the lack of effective means to communicate relevant product and service information to customers makes it difficult to maximize the promotional effectiveness of stores.

[0975] 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.

[0976] In this invention, the server includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiries in more detail, means for designating one of the recommendation slots as an advertising slot, means for providing real-time answers when customers ask questions about products or services in physical stores, and means for recommending official accounts of related products and services and displaying advertisements. This enables the rapid and accurate provision of information to customers and maximizes the promotional effect of stores.

[0977] A "Specific Industry / Business Room" is a dedicated virtual space created for providing information and consultations related to a specific industry or business.

[0978] "Means of providing AI answers" refers to a function that uses artificial intelligence to generate and provide appropriate answers to user questions and inquiries.

[0979] The "method for recommending multiple official accounts" is a function that selects highly relevant official accounts based on the user's inquiry and recommends them to the user.

[0980] "The method of using one of the recommendation slots as an advertising slot" refers to a function that inserts advertisements into the recommendation list and displays them to the user.

[0981] "A means of providing real-time answers when customers ask questions about products or services in a physical store" refers to a function that provides immediate answers when customers ask questions about products or services within a physical store.

[0982] "A means of recommending and displaying advertisements for official accounts of related products and services" refers to a function that recommends official accounts of related products and services based on the customer's interests and questions, and simultaneously displays advertisements for them.

[0983] The system for implementing this invention includes a program for creating rooms for specific industries and sectors and providing AI-powered answers to user inquiries. The server utilizes a generative AI model to analyze user questions and generate appropriate answers. Specifically, the server operates on the cloud and performs natural language processing using the GPT-4 API. The user's terminal is a mobile device such as a smartphone or tablet, through which the user inputs their questions.

[0984] When a user asks a question about a product or service in a physical store, the terminal sends the question to a server. The server analyzes the question, searches its database for relevant official accounts, and recommends them to the user. The recommendation list also includes advertisements, which are dynamically selected based on the user's interests.

[0985] For example, if a user asks, "How do I use this product?", the server will respond, "This product is ideal for use in XX. For detailed instructions, please see our official account," and recommend the relevant official account. An example of a prompt to the generating AI model would be, "A user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[0986] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0987] Step 1:

[0988] Users enter questions about products or services using their devices. The entered questions are saved as text data on the device.

[0989] Step 2:

[0990] The terminal sends the entered question to the server. The server receives this text data and uses a generative AI model to analyze the content of the question. As a result of the analysis, the intent of the question and related keywords are extracted.

[0991] Step 3:

[0992] Based on the analysis results, the server generates an appropriate response using the GPT-4 API. The generated response is stored on the server as text data.

[0993] Step 4:

[0994] The server searches its database for relevant official accounts based on the content of the question. The search results generate a list of highly relevant official accounts.

[0995] Step 5:

[0996] The server sends the generated answers and a list of official accounts to the device. The device receives this data and displays it to the user.

[0997] Step 6:

[0998] The device inserts ads into the recommendation list. The ads are dynamically selected and displayed based on the user's interests.

[0999] Step 7:

[1000] Users view the answers, official accounts, and advertisements displayed through their devices, and follow official accounts or click on advertisements as needed.

[1001] (Example 2)

[1002] Next, we will describe Example 2 of the morphological example. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1003] There is a need to provide a communication space for efficient information exchange and consultation in specific fields, enabling users to quickly and accurately obtain the information they seek. Furthermore, there is a need for methods to effectively present relevant information sources and attract user interest. Additionally, there is a need for means to effectively utilize advertising to increase revenue.

[1004] 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.

[1005] In this invention, the server includes means for generating a communication space in a specific field, means for generating an automatic response based on information input by the user, means for presenting multiple information sources related to the information, means for designating a portion of the presentation space as an advertising space, and means for analyzing the user's input in the communication space and selecting an appropriate information source. This enables the user to efficiently acquire information in a specific field and gain further knowledge through related information sources. Furthermore, it allows for increased revenue through advertising.

[1006] A "specific field" refers to a particular industry, sector, or specialized area, and is the area in which information and activities related to that field take place.

[1007] A "communication space" refers to a digital environment where users can exchange information and seek advice, enabling online dialogue and information sharing.

[1008] "User" refers to an individual or organization that uses the system to input information and receives responses or information sources.

[1009] "Automated response" refers to answers and information generated by artificial intelligence based on user input, and is generated using natural language processing technology.

[1010] "Information sources" refer to media or platforms that provide data and knowledge related to the information that users are seeking.

[1011] A "display frame" refers to a space used to display information sources and advertisements to users, and is an area for providing information visually.

[1012] "Advertising space" refers to a space reserved as part of the display area for displaying advertisements, and is used to increase revenue.

[1013] "Analysis" refers to the process of data processing performed to understand user input and select appropriate responses and information sources.

[1014] This invention is a system for efficiently exchanging information in a specific field, and it operates through the cooperation of three parties: a server, a terminal, and a user.

[1015] The server first creates a communication space for a specific field. This provides a platform for exchanging information related to a particular industry or sector on a digital platform. The server uses a database to manage the communication spaces corresponding to each field and makes them accessible to users.

[1016] The user accesses this communication space using a terminal and inputs information. The information entered by the user is sent to the server. The server analyzes the received information using a generative AI model that utilizes natural language processing technology, specifically GPT-4. Through this analysis, the server understands the user's intent and generates an appropriate automated response.

[1017] Furthermore, the server presents multiple relevant information sources based on the analysis results. This includes a process of selecting highly relevant information sources from the database and presenting them to the user. Some of these presentation slots can display advertisements. This allows users to obtain the information they need while simultaneously gaining new information through relevant advertisements.

[1018] For example, if a user enters "Please tell me about the latest medical technologies," the server will use GPT-4 to generate an automated response such as, "The latest medical technologies attracting attention include AI-powered diagnostic systems and telemedicine." It can also present "medical technology news" as a relevant source of information and display "advertisements from medical device manufacturers" in the advertising slots.

[1019] An example of a prompt might be, "Please tell me about the latest technologies in the IT industry." In response to this prompt, the server will provide appropriate responses and information.

[1020] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1021] Step 1:

[1022] The user accesses the communication space using a terminal and inputs information. The user enters questions or inquiries related to a specific field into a text box and presses the submit button. The entered information is sent from the terminal to the server. The input data consists of the user's questions or inquiries.

[1023] Step 2:

[1024] The server analyzes the user input it receives. Using the generative AI model GPT-4, the server analyzes the user input using natural language processing techniques. This analysis helps the server understand the user's intent and generate an appropriate automated response. The input is the user's question, and the output is the generated automated response.

[1025] Step 3:

[1026] The server selects relevant information sources and presents them to the user. Based on the analysis results, the server searches the database for highly relevant information sources. The selected information sources are presented to the user. The input is the analysis result, and the output is a list of relevant information sources.

[1027] Step 4:

[1028] The server inserts advertisements into the display slots. The server uses a portion of the display slots as advertising space to display advertisements relevant to the user's interests. This allows the user to view both information sources and advertisements simultaneously. The input is data based on the user's interests, and the output is the displayed advertisements.

[1029] Step 5:

[1030] Users review the presented information sources and advertisements and take additional actions as needed. Users can click on information sources of interest to learn more, or explore related services and products through advertisements. The input is the presented information sources and advertisements, and the output is the user's actions.

[1031] (Application Example 2)

[1032] Next, we will describe application example 2 of form 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".

[1033] In physical stores, there is a challenge in that customers have difficulty obtaining product information quickly and accurately. Furthermore, there is a lack of effective means to recommend official sources related to the information customers are seeking. In addition, there is a need for effective information provision methods to improve the in-store customer experience.

[1034] 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.

[1035] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to inquiries made by users, and means for recommending multiple official sources that are likely to resolve the inquiries in more detail. This enhances customer support in physical stores, allowing artificial intelligence to immediately provide answers and recommend relevant official sources for products when a customer enters a question about a product.

[1036] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[1037] "User" refers to an individual or group that makes an inquiry using the information exchange space.

[1038] "Inquiry content" refers to information that users input as questions or consultations within the information exchange space.

[1039] "Artificial intelligence response" refers to an automated response generated using a generative AI model in response to a user's inquiry.

[1040] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[1041] A "recommended section" is a display area designed to present users with official sources and related information.

[1042] An "advertising slot" is a specific area within the recommended slots that is designated for displaying advertisements.

[1043] "In-store customer support" refers to activities that provide support to customers in actual stores to help them obtain information about products and services.

[1044] "Means of providing an information exchange space" refers to technical means that enable users to access an information exchange space and exchange information.

[1045] A "generative AI model" is an artificial intelligence technology that uses natural language processing to generate answers to user inquiries.

[1046] The system for implementing this invention provides an information exchange space for specific industries and sectors, and generates artificial intelligence-based answers to user inquiries. The server utilizes a generation AI model to analyze user inquiries and generate appropriate answers. Furthermore, the server recommends multiple official information sources related to the inquiry and uses a portion of the recommendation slots as advertising space.

[1047] The server operates within the communication application, and when a user enters a product-related question in a physical store, artificial intelligence provides an immediate answer. This enhances customer support within the physical store. Users can access the information exchange space by scanning a QR code in the store using a smartphone or other device.

[1048] Specifically, the server uses GPT-4 as its generative AI model and analyzes user inquiries using natural language processing techniques. Based on the analysis results, it selects relevant official information sources and recommends them to the user. The recommendation section also includes advertisements for related products.

[1049] For example, if a user asks, "How do I use this product?", the server will generate an answer such as, "This product is used in the following steps," and recommend official information sources related to the product. It will also display advertisements such as, "We also recommend our new product, XX."

[1050] An example of a prompt message is: "The user is asking a question about a product. The question is, 'How do I use this product?' Please generate an appropriate answer."

[1051] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1052] Step 1:

[1053] A user scans a QR code using their smartphone within a physical store. This allows the device to obtain a URL for accessing a specific information exchange space and launch a communication application. The input is the data from the QR code, and the output is access to the information exchange space.

[1054] Step 2:

[1055] The user enters a question about a product within a communication application. The terminal sends this question to the server. The input is the user's question text, and the output is the transmission of the question data to the server.

[1056] Step 3:

[1057] The server inputs the received question into a generating AI model (GPT-4) and analyzes the question using natural language processing. The input is the user's question data, and the output is the analyzed question content.

[1058] Step 4:

[1059] The server generates appropriate answers using an AI model based on the analysis results. The input is the analyzed question content, and the output is the generated answer text.

[1060] Step 5:

[1061] The server searches its database for official information sources related to the question and selects several recommended sources. The input is the parsed question, and the output is a list of recommended sources.

[1062] Step 6:

[1063] The server adds promotional information to the list of recommended information sources and constructs a recommendation box. The input is a list of recommended information sources, and the output is a recommendation box containing promotional information.

[1064] Step 7:

[1065] The server sends the generated answers and suggested boxes to the terminal. The input is the generated answers and suggested boxes, and the output is the data sent to the terminal.

[1066] Step 8:

[1067] The terminal displays the received responses and recommended options to the user. Input is data from the server, and output is information displayed to the user.

[1068] 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.

[1069] "Example of form 1"

[1070] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[1071] "Example of form 2"

[1072] One embodiment of the present invention incorporates an emotion engine that recognizes the user's emotions into a system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot. This emotion engine analyzes the user's emotions from their text input and adjusts the AI ​​answer based on the analysis results. For example, if a user asks for advice saying, "I'm feeling down because things haven't been going well at work lately," the emotion engine recognizes from this text that the user is feeling down. It then provides an AI answer that corresponds to that emotion, such as, "That's tough. What are you having trouble with at work?" The system also considers the user's emotions when recommending official accounts that are likely to resolve the inquiry in more detail. For example, if the user is feeling down, the system can recommend an official account for psychological counseling, enabling recommendations that correspond to the user's emotions.

[1073] The following describes the processing flow for each example of the form.

[1074] "Example of form 1"

[1075] Step 1: The user enters a room for a specific industry or business and enters their consultation details as text.

[1076] Step 2: The emotion engine analyzes the user's emotions from their text input. For example, from the text "I've been feeling down lately because things haven't been going well at work," it recognizes that the user is feeling down.

[1077] Step 3: The AI ​​provides an answer based on the analyzed emotions. For example, it might provide an answer that responds to the user's emotions, such as, "That sounds tough. What are you having trouble with at work?"

[1078] Step 4: The AI ​​recommends official accounts that are likely to be able to resolve the issue in more detail. At this stage, the AI ​​selects official accounts considering the user's emotions. For example, if the user is feeling down, it might recommend an official account for psychological counseling.

[1079] Step 5: Use one of the recommendation slots as an advertising slot. This ad slot will display ads that are relevant to the user's inquiry and emotions.

[1080] (Example 1)

[1081] Next, we will describe Embodiment 1 of Example Form 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1082] In today's information and communication environment, there is a need to provide a platform for information exchange specializing in specific fields and to offer appropriate and emotionally sensitive responses to the diverse inquiries of users. However, conventional systems often fail to adequately consider users' emotions in their responses and recommend relevant information sources, making it difficult to increase user satisfaction.

[1083] 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.

[1084] In this invention, the server includes means for generating a communication space for exchanging information in a specific field, means for using artificial intelligence to analyze the content of user inquiries and generate responses, and means for analyzing the user's emotions and adjusting the responses. This makes it possible to provide responses that take the user's emotions into consideration and recommend relevant information sources.

[1085] "Specific field" is a concept that refers to information and activities related to a particular industry or sector.

[1086] A "communication space" refers to a virtual environment where users exchange information and communicate.

[1087] "User" refers to an individual or organization that uses the system to obtain information or seek advice.

[1088] "Inquiry content" refers to the questions and consultations that users submit to the system.

[1089] "Artificial intelligence" refers to technology that enables computers to mimic human intellectual activity and perform natural language processing and data analysis.

[1090] "Emotion analysis" refers to a technology that identifies emotions from user input and adjusts responses based on those emotions.

[1091] "Response" refers to the answer or information that the system provides in response to a user's inquiry.

[1092] "Related information sources" refer to external information providers or databases that provide information related to the user's inquiry.

[1093] This invention is a system for exchanging information specialized in a particular field, in which the server, terminal, and user elements work together in coordination.

[1094] The server creates a communication space for exchanging information in a specific field. This allows users to exchange information related to a particular industry or sector. The server operates within the messenger application and is designed to be accessible to users.

[1095] Users access the communication space using a terminal and input questions or inquiries. The user's input is sent to a server for processing. The server uses artificial intelligence, leveraging generative AI models, to analyze the user's inquiry and generate an appropriate response. This AI uses natural language processing technology to understand the user's intent and provide relevant information.

[1096] Furthermore, the server uses an emotion analysis engine to analyze the user's emotions from their input. This makes it possible to generate responses that take the user's feelings into consideration. For example, if a user inputs, "I've been feeling down lately because things haven't been going well at work," the server recognizes this emotion and provides a response such as, "That's tough. What are you having trouble with at work?"

[1097] The server also recommends information sources relevant to the user's inquiry. This includes highly relevant official accounts and external sources. The server can also generate revenue by inserting advertisements into the recommendations.

[1098] For example, if a user enters "I want to learn a new programming language, but I don't know which one to choose," the server will generate a response such as "Python is recommended for beginners" and recommend resources that are helpful for learning programming.

[1099] An example of a prompt message would be, "I've been feeling down lately because things haven't been going well at work. I'd appreciate some advice on what to do."

[1100] The flow of the specific processing in Example 1 will be explained using Figure 15.

[1101] Step 1:

[1102] Users access a specific communication space within a messenger application using their device and input questions or requests for advice. This input is sent to the server in text format.

[1103] Step 2:

[1104] The server analyzes the received user input using a generative AI model. Specifically, it uses natural language processing techniques to understand the intent of the input text and extract relevant information. This analysis provides the foundational data needed to generate appropriate responses to the user's questions.

[1105] Step 3:

[1106] The server uses an emotion analysis engine to analyze user input and determine their emotions. By running the input text through an emotion analysis algorithm, it identifies the user's emotional state (e.g., depressed, happy). This analysis result is then used as data to adjust the response.

[1107] Step 4:

[1108] The server uses a generative AI model to generate responses based on the analysis results. It takes the sentiment analysis results into account to create responses that are sensitive to the user's emotions. For example, if the user is feeling down, it might generate a response such as, "That sounds tough. What are you having trouble with at work?"

[1109] Step 5:

[1110] The server recommends information sources relevant to the user's question. Based on the generated responses and sentiment analysis results, it selects and presents highly relevant official accounts and external sources to the user. Advertisements may also be inserted into these recommendations.

[1111] Step 6:

[1112] Users receive responses and recommendations from the server, and can ask further questions or utilize recommended information sources as needed. This allows users to resolve their questions and obtain the information they need.

[1113] (Application Example 1)

[1114] Next, we will describe Application Example 1 of Form 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".

[1115] In today's information and communication environment, users face challenges in efficiently obtaining information about specific industries or sectors and receiving appropriate responses. Furthermore, there is a lack of consideration for user emotions, and improved satisfaction is needed. For information providers, optimizing information provision and advertising to meet user needs is also a challenge.

[1116] 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.

[1117] In this invention, the server includes means for creating an information exchange space for a specific industry or sector, means for providing artificial intelligence answers to the user's inquiries, and means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results. This enables users to efficiently acquire information and receive appropriate responses that match their emotions.

[1118] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[1119] "Users" refers to individuals or corporations who use the information exchange space to seek advice or obtain information.

[1120] "Artificial intelligence response" refers to an answer generated by artificial intelligence in response to a user's question or inquiry.

[1121] "Official sources" refer to official accounts or information providers that offer reliable information within a particular industry or sector.

[1122] A "recommended section" is a display area designed to present users with official information sources and advertisements.

[1123] An "advertising slot" is an area designated as part of the recommended slots for displaying advertisements.

[1124] "Emotional analysis" is the process of identifying emotions from user input information and evaluating their emotional state.

[1125] "Proposing countermeasures" means presenting appropriate actions or solutions based on the user's feelings and the content of their consultation.

[1126] The system for implementing this invention consists of a server and a terminal working in cooperation. The server creates an information exchange space for a specific industry or sector and receives inquiries from users. The terminal is responsible for transmitting the inquiries entered by users to the server.

[1127] The server utilizes a generative AI model to analyze the received consultation content. This AI model, for example, uses GPT-4 to generate appropriate answers to the user's questions. Furthermore, the server uses an emotion analysis engine to analyze the user's emotions and adjusts the AI ​​answers based on the results. For emotion analysis, emotion analysis libraries such as TextBlob and NLTK can be used.

[1128] For example, if a user inputs "This product was disappointing" through their device, the device sends this information to the server. The server uses an emotion analysis engine to determine that the user is "dissatisfied" and sends a prompt to the AI ​​model asking it to "suggest a solution for dissatisfied customers." The AI ​​model then generates a response such as, "We apologize. We will offer you a 10% discount on your next visit," and sends it to the device.

[1129] In this way, by linking the server and the terminal, users can efficiently obtain information and receive appropriate responses that reflect their emotions.

[1130] The flow of a specific process in Application Example 1 will be explained using Figure 16.

[1131] Step 1:

[1132] Users access an information exchange space for a specific industry or sector using their device and enter their inquiry details. The entered inquiry details are saved as text data on the device.

[1133] Step 2:

[1134] The terminal sends the entered consultation details to the server. The data sent is text data containing the user's consultation details.

[1135] Step 3:

[1136] The server passes the received consultation content to the sentiment analysis engine, which analyzes the user's emotions. The sentiment analysis engine uses TextBlob or NLTK to analyze the text data and outputs the emotional state (e.g., dissatisfaction, joy, sadness, etc.).

[1137] Step 4:

[1138] Based on the sentiment analysis results, the server sends a prompt message to the generative AI model. The prompt message contains instructions for generating a response tailored to the user's emotions. For example, it might send a prompt message such as, "Please suggest a response for a dissatisfied customer."

[1139] Step 5:

[1140] The generative AI model receives a prompt and generates an appropriate response. The AI ​​model uses GPT-4 to generate text based on the prompt and outputs the response to the user.

[1141] Step 6:

[1142] The server sends the generated response to the terminal. The terminal displays the received response to the user, ensuring the user receives appropriate action.

[1143] (Example 2)

[1144] Next, we will describe Example 2 of the morphological example. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1145] In today's communication environment, there is a challenge in that it is difficult for users to efficiently obtain information on specific fields and receive appropriate advice. Furthermore, there is a need to provide appropriate responses that respond to the user's emotions, but conventional systems have not been able to adequately achieve this.

[1146] 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.

[1147] In this invention, the server includes means for creating a communication space for a specific field, means for providing an automated response to information input by a user, means for recommending multiple official sources that are likely to resolve the information in more detail, and means for analyzing the user's emotions and adjusting the response accordingly. This enables the user to efficiently obtain information on a specific field and receive appropriate advice tailored to their emotions.

[1148] A "communication space for a specific field" is a virtual exchange space intended for the purpose of exchanging information related to a particular industry or sector.

[1149] "Information entered by the user" refers to questions and consultations provided by the user through the communication application.

[1150] "Means of providing automated responses" refers to a function that uses a generative AI model to analyze user input information and generate appropriate responses.

[1151] "Methods for recommending multiple official sources" refers to a function that selects and presents highly relevant official information providers to the user based on the information the user inputs.

[1152] "Advertising slots" refer to spaces within recommended information sources where advertisements can be inserted.

[1153] "Means for analyzing user emotions and adjusting responses" refers to a function that analyzes user emotions from input information and adjusts the content and tone of responses based on the results.

[1154] One embodiment of this invention is a system that provides a communication space specialized for a specific field. This system operates in cooperation with three parties: a server, a terminal, and a user.

[1155] The server creates a communication space for a specific field and receives information input by the user. The server uses an AI engine that leverages generative AI models to analyze the user's input and generate automated responses. This AI engine employs advanced natural language processing techniques, such as GPT-4. The server also selects and recommends relevant official information sources based on the user's input. This recommendation list also includes advertisements as promotional space.

[1156] The terminal is responsible for transmitting information entered by the user through a communication application to the server, receiving responses and recommendations from the server, and presenting them to the user. The terminal provides an intuitive interface that users can operate, enabling smooth information exchange.

[1157] Users input questions or inquiries about specific fields through their device. For example, by entering a prompt such as "What are the latest trends in the IT industry?", the AI ​​engine provides relevant information and recommends relevant official sources. Based on this information, users can decide on their next course of action.

[1158] This system allows users to efficiently obtain information in specific fields and receive appropriate advice tailored to their emotions.

[1159] The flow of the specific processing in Example 2 will be explained using Figure 17.

[1160] Step 1:

[1161] Users input questions or inquiries about specific fields through their terminals. The entered information is sent to the server in text format. This input consists of prompts that specifically express the user's questions or inquiries.

[1162] Step 2:

[1163] The server sends the received prompt text to an AI engine that utilizes a generation AI model. The AI ​​engine analyzes the prompt text using natural language processing techniques and generates an appropriate response. This analysis extracts context and keywords from the input text and searches for relevant information based on them. The output is an answer to the user's question.

[1164] Step 3:

[1165] The server receives the response generated by the AI ​​engine and then sends the user's input information to the emotion engine. The emotion engine analyzes the user's emotions from the text and adjusts the AI ​​response based on the results. For example, if the user indicates an emotion such as "depressed," the emotion engine will soften the tone of the response. This process results in an adjusted response that is appropriate to the user's emotions.

[1166] Step 4:

[1167] The server selects highly relevant official information sources based on user input and sentiment analysis results. This involves searching the database for relevant sources and choosing the ones best suited to the user's needs. The selected sources are output as a recommendation list.

[1168] Step 5:

[1169] The server inserts ads into the recommendation list. This involves selecting appropriate ads from a pre-configured ad database and incorporating them as part of the recommendation list. This completes the final recommendation list.

[1170] Step 6:

[1171] The terminal presents the user with the adjusted answers and recommendation list received from the server. The user can then decide on their next action based on this information. The answers and recommendations are displayed on the user's screen as output.

[1172] (Application Example 2)

[1173] Next, we will describe application example 2 of form 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".

[1174] In modern brick-and-mortar stores, promptly and accurately addressing customer questions and concerns is crucial for improving customer satisfaction. However, traditional methods have faced challenges in considering customer emotions and making appropriate suggestions for related products and services. Furthermore, there is a need for effective ways to utilize advertising to increase revenue.

[1175] 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.

[1176] In this invention, the server includes means for creating an information exchange space for a specific industry or sector; means for providing artificial intelligence answers to the user's inquiries; means for recommending multiple official information sources that are likely to resolve the inquiries in more detail; means for analyzing the user's emotions and adjusting the artificial intelligence answers based on the analysis results; and means for suggesting relevant products and services in response to the user's questions at a physical store. This enables flexible responses tailored to the customer's emotions, effective suggestions of relevant products, and increased revenue through the use of advertising.

[1177] A "specific industry / sector information exchange space" is a virtual communication space established for the exchange of information related to a specific industry or sector.

[1178] "A means of providing AI-powered answers to user inquiries" refers to a function that analyzes user questions and inquiries and generates appropriate answers using artificial intelligence.

[1179] "A means of recommending multiple official sources" refers to a function that selects and presents to the user multiple reliable sources related to the user's consultation content.

[1180] "The method of using one of the recommendation slots as an advertising slot" refers to a function that generates advertising revenue by including advertisements among the recommended information sources.

[1181] "Means for analyzing the user's emotions and adjusting the AI ​​response based on the analysis results" refers to a function that analyzes the user's emotions from their input and adjusts the response generated by the AI ​​based on the results.

[1182] "A means of suggesting relevant products and services in response to customer inquiries at physical stores" refers to a function that suggests relevant products and services in response to questions asked by customers at physical stores.

[1183] The system for implementing this invention operates in a network environment including a server and terminals. The server creates an information exchange space for a specific industry or sector and provides answers using artificial intelligence to the inquiries made by users through the terminals. Specifically, the server utilizes a generative AI model to analyze user input and generate appropriate answers.

[1184] The server also recommends multiple relevant official sources based on the user's inquiry. This includes a function to select and present reliable sources to the user. Furthermore, it is possible to utilize a portion of the recommendation slots as advertising space and generate advertising revenue.

[1185] To analyze the user's emotions, the server uses an emotion analysis engine. This engine analyzes the user's emotions from their text input and adjusts the responses generated by artificial intelligence based on the results. For example, if the user is feeling dissatisfied, it can provide a more empathetic response.

[1186] In physical stores, when a user enters a question using a terminal, the server suggests relevant products and services. This enhances the user's in-store shopping experience.

[1187] For example, if a user asks, "I want to know more about this product," the server will provide detailed product information and suggest related accessories and sets. Also, if a user enters, "Shopping has been stressful lately," the emotion analysis engine will detect the stress and suggest relaxing products or special offers.

[1188] Examples of prompt messages include, "I'd like to know more about this product. Please tell me the details," and "Shopping has been stressful lately. Do you have any recommendations?"

[1189] The flow of a specific process in Application Example 2 will be explained using Figure 18.

[1190] Step 1:

[1191] The user enters a question using a terminal. The entered question is sent to the server as text data.

[1192] Step 2:

[1193] The server inputs the received text data into a generative AI model. The generative AI model analyzes the content of the question and generates an appropriate answer. In this process, it uses natural language processing techniques to understand the intent of the question and extract relevant information. The generated answer is obtained as output.

[1194] Step 3:

[1195] The server uses an emotion analysis engine to analyze the emotions in the user's input text. The user's question text is used as input. The emotion analysis engine identifies the emotions in the text and outputs the results.

[1196] Step 4:

[1197] The server combines the generated responses with the sentiment analysis results to refine the final response for the user. For example, if the user expresses dissatisfaction, it generates a more empathetic response. This refined response is then output.

[1198] Step 5:

[1199] The server recommends multiple relevant official sources based on the user's question. The user's question is used as input. The server consults a database and selects the most relevant sources. A list of recommendations is provided as output.

[1200] Step 6:

[1201] The server utilizes a portion of the recommendation list as ad space, selecting and displaying appropriate ads. User interests and questions are used as input. An ad selection algorithm is used to output the most suitable ads.

[1202] Step 7:

[1203] In a physical store, when a user enters a question using a terminal, the server suggests relevant products and services. The user's question is used as input. The server consults a product database and selects highly relevant products and services. A list of suggestions is provided as output.

[1204] (Other examples)

[1205] Since this is the same as the specific processing described in the other embodiments of the first embodiment above, the explanation will be omitted.

[1206] 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.

[1207] The data generation model 58 is a form of so-called generative AI (Artificial Intelligence). One example of the data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> 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.

[1208] Other examples of generative AI include Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) are some examples.

[1209] 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.

[1210] 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.

[1211] 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.

[1212] 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.

[1213] 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.

[1214] 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 based, for example, 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.

[1215] 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."

[1216] 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.

[1217] 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 method for the specific process may be used, which includes computer 22 and multiple other computers.

[1218] 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.

[1219] 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.

[1220] 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.

[1221] 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.

[1222] 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.

[1223] 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.

[1224] 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.

[1225] 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.

[1226] 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.

[1227] The following is further disclosed regarding the embodiments described above.

[1228] (Claim 1)

[1229] A system that includes means for creating rooms for specific industries and sectors, means for providing AI answers to user inquiries, means for recommending multiple official accounts that are likely to resolve the inquiry in more detail, and means for designating one of the recommendation slots as an advertising slot.

[1230] (Claim 2)

[1231] The system according to claim 1, wherein the means for providing the AI ​​response is an AI utilizing GPT4.

[1232] (Claim 3)

[1233] The system according to claim 1, wherein the system operates within a messenger application.

[1234] (Claim 4)

[1235] The system according to claim 1, wherein the means for providing the AI ​​response includes an emotion engine that recognizes the user's emotions.

[1236] (Claim 5)

[1237] The system according to claim 4, wherein the emotion engine analyzes emotions from the user's text input.

[1238] (Claim 6)

[1239] The system according to claim 4, wherein the emotion engine adjusts the AI ​​response based on the analyzed emotion.

[1240] "Example 1"

[1241] (Claim 1)

[1242] Means for generating an information exchange space in a specific field,

[1243] A means for generating an automated response based on information entered by the user,

[1244] A means of recommending multiple sources of information related to the input information,

[1245] A system that includes means of displaying some of the recommended information as promotional information.

[1246] (Claim 2)

[1247] The system according to claim 1, wherein the means for generating the automatic response is artificial intelligence utilizing natural language processing technology.

[1248] (Claim 3)

[1249] The system according to claim 1, wherein the system operates within a communication application.

[1250] "Application Example 1"

[1251] (Claim 1)

[1252] A means of creating rooms for specific industries and sectors,

[1253] A means of providing AI answers to questions from users,

[1254] A means of recommending multiple official accounts that are likely to be able to resolve the matter in question in more detail,

[1255] One method is to use one of the recommendation slots as an advertising slot,

[1256] A means of providing real-time answers when customers ask questions about products or services in a physical store,

[1257] A system that includes means of recommending and displaying advertisements for official accounts of related products and services.

[1258] (Claim 2)

[1259] The system according to claim 1, wherein the means for providing the AI ​​response is an AI that utilizes a generative AI model.

[1260] (Claim 3)

[1261] The system according to claim 1, wherein the system operates within a mobile information terminal.

[1262] Example 2

[1263] (Claim 1)

[1264] Means for generating a communication space in a specific field,

[1265] A means for generating an automated response based on information entered by the user,

[1266] A means of presenting multiple sources of information related to the information,

[1267] One method is to use a portion of the displayed space as advertising space,

[1268] A means for analyzing user input in the communication space and selecting an appropriate information source,

[1269] A system that includes this.

[1270] (Claim 2)

[1271] The system according to claim 1, wherein the means for generating the automatic response is artificial intelligence utilizing natural language processing technology.

[1272] (Claim 3)

[1273] The system according to claim 1, wherein the system operates within a communication application.

[1274] "Application Example 2"

[1275] (Claim 1)

[1276] A means of creating an information exchange space for specific industries and sectors,

[1277] A means of providing AI-powered answers to user inquiries,

[1278] A means of recommending multiple official sources that are likely to resolve the inquiry in more detail,

[1279] One method is to use one of the recommended slots as an advertising slot,

[1280] A means of providing an information exchange space to strengthen customer support within physical stores,

[1281] When a user enters a question about a product in a physical store, artificial intelligence provides an immediate answer and recommends official sources of information related to the product.

[1282] A system that includes this.

[1283] (Claim 2)

[1284] The system according to claim 1, wherein the means for providing the artificial intelligence response is artificial intelligence utilizing a generative AI model.

[1285] (Claim 3)

[1286] The system according to claim 1, wherein the system operates within a communication application.

[1287] "Example 1 of combining an emotion engine"

[1288] (Claim 1)

[1289] A means for generating a communication space for exchanging information in a specific field,

[1290] A method using artificial intelligence to analyze user inquiries and generate responses,

[1291] A means of recommending multiple sources of information related to the content of the inquiry,

[1292] Methods for inserting promotional information into recommended information,

[1293] A means of analyzing the user's emotions and adjusting the response,

[1294] A system that includes means for selecting relevant information sources based on sentiment analysis.

[1295] (Claim 2)

[1296] The system according to claim 1, wherein the artificial intelligence that generates the response utilizes a natural language processing model.

[1297] (Claim 3)

[1298] The system according to claim 1, wherein the system operates within a communication application.

[1299] "Application example 1 of combining emotional engines"

[1300] (Claim 1)

[1301] A means of creating an information exchange space for specific industries and sectors,

[1302] A means of providing AI-powered answers to the questions users ask,

[1303] A means of recommending multiple official sources that are likely to resolve the matter in question in more detail,

[1304] One method is to use one of the recommended slots as an advertising slot,

[1305] A means for analyzing the user's emotions and adjusting the AI ​​response based on the analysis results,

[1306] A system that includes means for suggesting countermeasures that respond to the user's emotions.

[1307] (Claim 2)

[1308] The system according to claim 1, wherein the means for providing the artificial intelligence response is artificial intelligence utilizing a generative AI model.

[1309] (Claim 3)

[1310] The system according to claim 1, wherein the system operates within an information and communication application.

[1311] "Example 2 of combining an emotion engine"

[1312] (Claim 1)

[1313] Means for creating a communication space in a specific field,

[1314] A means of providing an automated response to information entered by the user,

[1315] A means of recommending multiple official sources that could potentially resolve the information in more detail,

[1316] One method is to use one of the recommended slots as an advertising slot,

[1317] A system that includes means for analyzing user emotions and adjusting responses accordingly.

[1318] (Claim 2)

[1319] The system according to claim 1, wherein the means for providing the automated response utilizes a generative AI model.

[1320] (Claim 3)

[1321] The system according to claim 1, wherein the system operates within a communication application.

[1322] "Application example 2 when combining with an emotional engine"

[1323] (Claim 1)

[1324] A means of creating an information exchange space for specific industries and sectors,

[1325] A means of providing AI-powered answers to the questions users ask,

[1326] A means of recommending multiple official sources that could potentially resolve the matter in question in more detail,

[1327] One method is to use one of the recommendation slots as an advertising slot,

[1328] A means for analyzing the user's emotions and adjusting the AI ​​response based on the analysis results,

[1329] A system that includes means of suggesting relevant products and services in response to customer inquiries at physical stores.

[1330] (Claim 2)

[1331] The system according to claim 1, wherein the means for providing the artificial intelligence response is artificial intelligence utilizing a generative AI model.

[1332] (Claim 3)

[1333] The system according to claim 1, wherein the system operates within a communication application. [Explanation of Symbols]

[1334] 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. Equipped with a processor, The processor receives industry information selected by the user, retrieves the corresponding template from the database, and generates an information exchange space, which is a virtual communication space established for exchanging customized information related to a specific industry and business sector. The text data of the user's consultation received in the aforementioned information exchange space is analyzed to extract important keywords. Based on the extracted keywords, a prompt statement is generated to instruct the generative AI model to generate an appropriate response. Using the generated prompt sentence, the AI ​​model generates the response, and the emotions of the user are analyzed from the text data to obtain emotion data. Based on the acquired sentiment data, the tone of the response generated by the generative AI model is adjusted. In order to recommend multiple official information sources related to the aforementioned consultation content, the user's past behavioral history is analyzed to generate a list of recommended official information sources. Selected advertisements from a pre-configured advertising database are incorporated and inserted as part of the list of recommended official information sources. A system that provides the user's terminal with the aforementioned tone-adjusted response and the list with the aforementioned advertisement inserted.

2. The system according to claim 1, wherein the processor analyzes the text data using natural language processing technology and generates the prompt sentence.

3. The system according to claim 1, wherein the processor operates within a communication application and enables bidirectional communication through a user interface of the information exchange space.

Images