system

Abstract

We provide the system. [Solution] A means for receiving book information from the user's terminal, A means of obtaining basic information from a database based on the received book information, A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information, A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence, A means of returning the generated book information to the user's device, A system that includes this.

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, the method including 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 as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the modern era of information overload, it is important to effectively provide book information on the Internet. However, many book information only contains basic information (title, author, brief summary), which is insufficient from the perspective of search engine optimization (SEO). As a result, it becomes difficult for users to quickly access the information they need, and the discoverability of books has decreased.

[0005] Furthermore, it takes a lot of time and effort to manually add detailed supplementary information (tags and detailed summaries), which is not realistic for companies with large-scale book databases. The present invention provides a system that solves these problems and provides book information with enhanced SEO effect.

Means for Solving the Problems

[0006] To solve the above problems, the present invention provides the following means.

[0007] First, a means is provided to receive book information from the user's device. Next, a means is provided to retrieve basic information (title, author, basic synopsis) from a database based on the received book information. Based on the retrieved basic information, a means is provided to request supplementary information (detailed synopsis and tags) from a generative artificial intelligence (AI). A means is provided to integrate the supplementary information and basic information returned by the generative AI to generate book information with enhanced SEO effectiveness. Finally, a means is provided to return this generated book information to the user's device.

[0008] These methods make it possible to automatically and efficiently enrich book information, enhance SEO effectiveness, and provide a system that allows users to quickly access the information they are looking for.

[0009] "Book information" refers to basic data related to a book, specifically including information such as the title, author, and basic synopsis.

[0010] "User's device" refers to a device used to request and view book information, and includes personal computers, smartphones, tablets, etc.

[0011] A "server" refers to a computer system that receives user requests and communicates with databases and generative artificial intelligence systems.

[0012] A "database" is a system for storing and managing book information, and includes SQL servers and NoSQL databases.

[0013] "Basic information" refers to the main dataset related to the book, including information such as title, author, and basic synopsis.

[0014] "Generative artificial intelligence" refers to an artificial intelligence system that has an algorithm for generating supplementary information based on specific input data.

[0015] "Supplemental information" refers to detailed data added to basic information, particularly information that enhances SEO effectiveness, such as detailed summaries and tags.

[0016] "Tags" are keywords that indicate the content or genre of a book, and they play an important role in search engine optimization (SEO).

[0017] "SEO effect" refers to the effect of improving the ease with which information can be found on the internet through search engine optimization.

[0018] "Means for generating book information" refers to the process or system for integrating basic and supplementary information to create the final book information. [Brief explanation of the drawing]

[0019] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8]It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0020] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described according to the accompanying drawings.

[0021] First, the terms used in the following description will be described.

[0022] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0023] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0024] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0025] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0027] [First Embodiment]

[0028] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0029] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] 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).

[0031] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0040] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. The details of the processing by each entity (user, server, terminal) are shown below.

[0041] 1. Request for book information

[0042] A user requests book information.

[0043] The user uses their device to enter a specific book ID and requests book information. This request is sent from the user's device to the server.

[0044] 2. Obtaining basic information

[0045] The server retrieves basic information from the database.

[0046] After receiving a request from a user, the server sends a query to the database to retrieve basic information about the book. This basic information includes the book's title, author, and any existing brief synopsis.

[0047] 3. Request to generate supplementary information

[0048] The server requests supplementary information from the generative artificial intelligence.

[0049] Based on the acquired basic information, the server requests the generative artificial intelligence (AI) to generate supplementary information. The server formats the basic information and sends it to the AI ​​service's API. Specifically, it sends a request that includes information such as the book title, author, and existing brief synopsis.

[0050] 4. Generation and reception of supplementary information

[0051] Generative artificial intelligence generates supplementary information.

[0052] Generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the basic information it receives. This supplementary information is then sent back to the server as the AI's output.

[0053] 5. Integration of book information

[0054] The server integrates supplementary information.

[0055] The server uses the received supplementary information to combine it with the basic information and generate complete book information. This book information includes a detailed synopsis and tags to enhance SEO effectiveness.

[0056] 6. Return of book information

[0057] The server sends book information back to the user's terminal.

[0058] The final generated book information is sent from the server to the user's terminal. The user then uses their terminal to verify the integrated book information.

[0059] Specific example

[0060] For example, the details of a case where a user enters "Book ID: 1" and requests book information are shown below.

[0061] User request

[0062] The user enters "Book ID: 1" on their device and clicks the "Search" button.

[0063] Obtaining basic information

[0064] The server queries the database with "Book ID: 1" and retrieves the following basic information:

[0065] Title: "Sample book"

[0066] Author: "Sample Author"

[0067] Brief summary: "This is a sample book."

[0068] Request to generate supplementary information

[0069] The server sends the acquired basic information to the AI ​​service and requests the generation of supplementary information.

[0070] Generation and reception of supplementary information

[0071] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[0072] Tags: ["Fantasy", "Adventure"]

[0073] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0074] Integration of book information

[0075] The server integrates basic and supplementary information to generate the following final book information:

[0076] Title: "Sample book"

[0077] Author: "Sample Author"

[0078] Brief summary: "This is a sample book."

[0079] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0080] Tags: ["Fantasy", "Adventure"]

[0081] Return to the user's device

[0082] The server sends the integrated book information back to the user's terminal, and the user can then view this information.

[0083] This process allows users to quickly obtain detailed and SEO-friendly book information.

[0084] The following describes the processing flow.

[0085] Step 1:

[0086] To request book information, the user uses their device to enter a specific book ID and clicks the "Search" button.

[0087] Step 2:

[0088] The terminal sends the book ID entered by the user to the server.

[0089] Step 3:

[0090] The server receives the book ID and generates and sends a query to the database to retrieve the corresponding book information.

[0091] Step 4:

[0092] The server retrieves basic book information (title, author, basic synopsis) from the database.

[0093] Step 5:

[0094] The server formats the basic information it has acquired and creates an API request to request the generative artificial intelligence (AI) to generate supplementary information.

[0095] Step 6:

[0096] The server sends a POST request to the generative AI's API endpoint.

[0097] Step 7:

[0098] The generative AI receives a request from the server and generates supplementary information (detailed synopsis, relevant tags) based on the basic information.

[0099] Step 8:

[0100] The generative AI generates supplementary information which is then returned to the server in JSON format.

[0101] Step 9:

[0102] The server integrates the supplementary information it receives with the basic information to generate book information that enhances SEO effectiveness.

[0103] Step 10:

[0104] The server sends the final, integrated book information back to the user's terminal.

[0105] Step 11:

[0106] The terminal displays book information received from the server to the user.

[0107] Step 12:

[0108] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[0109] (Example 1)

[0110] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0111] Modern book information systems are required to provide users with detailed and relevant information about the books they search for quickly and effectively. However, existing systems only provide basic information, and do not adequately provide detailed summaries or information that takes SEO into consideration. As a result, there is a problem of decreased user satisfaction with the search experience and the usefulness of the information.

[0112] 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.

[0113] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible for users to quickly obtain detailed book information with high SEO effectiveness.

[0114] "Book information" refers to a set of data related to a book, including information such as the title, author, brief synopsis, detailed synopsis, and related tags.

[0115] "User" refers to anyone who uses this system to obtain book information.

[0116] A "terminal" is an electronic device used by a user to operate this system, and specifically includes smartphones, tablets, and personal computers.

[0117] A "server" is a central computer that handles the processing of the entire system, and its role is to access databases, communicate with generative artificial intelligence, and integrate and return the generated information.

[0118] A "database" is an electronic information system used to store and manage basic information about books.

[0119] "Basic information" refers to initial information obtained from the database, such as the book's title, author, and existing brief synopsis.

[0120] "Generative artificial intelligence" refers to an artificial intelligence system that uses machine learning techniques to generate supplementary information based on given basic information.

[0121] "Supplementary information" refers to additional information such as detailed summaries and related tags that generative artificial intelligence generates based on basic information.

[0122] "SEO effect" is an abbreviation for Search Engine Optimization, and refers to various techniques and methods used to improve the search ranking of information on the internet.

[0123] A "prompt sentence" refers to a specific sentence used to input instructions or information to a generative artificial intelligence (AI), which then generates supplementary information based on this prompt.

[0124] This invention relates to a system in which users request book information, and a server and generative artificial intelligence are used to provide detailed book information with high SEO effectiveness. The method of implementing this system, along with the hardware and software used, will be described in detail.

[0125] First, users request book information using their own devices. These devices can include PCs, smartphones, and tablets. Users enter the book ID using a browser or dedicated application on these devices and submit the request. This request is sent to the server as an HTTP request.

[0126] The server parses the received HTTP request and obtains the book ID. During this process, the server sends a query to the database to retrieve basic information. Relational databases such as MySQL® or PostgreSQL can be used as the database. The retrieved basic information includes the book title, author, and existing brief synopsis.

[0127] Next, the server requests the generative artificial intelligence to generate supplementary information based on the acquired basic information. Specifically, the server formats the basic information into JSON format and sends an HTTP POST request to the generative AI model's API. For example, OpenAI's GPT-3® can be used as this generative AI model.

[0128] Generative artificial intelligence analyzes the received information and generates supplementary information such as detailed summaries and relevant tags. The generated supplementary information is sent back from the AI ​​model to the server. The returned information is received again by the server and integrated with the basic information. This process generates book information with enhanced SEO effectiveness.

[0129] Finally, the generated book information is sent back from the server to the user's device. This allows the user to view detailed and SEO-friendly book information on their device.

[0130] Specific example

[0131] For example, the details of a user requesting book information by entering "Book ID: 1" are shown below.

[0132] The user enters "Book ID: 1" on their device and clicks the "Search" button. An HTTP request is sent to the server.

[0133] The server queries the database to retrieve basic information:

[0134] Title: "Sample book"

[0135] Author: "Sample Author"

[0136] Brief summary: "This is a sample book."

[0137] The server sends a request to the generated AI model that includes the following prompt:

[0138] Title: "Sample book"

[0139] Author: "Sample Author"

[0140] Brief summary: "This is a sample book."

[0141] Please use this as a basis to generate a detailed synopsis and related tags.

[0142] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[0143] Tags: ["Fantasy", "Adventure"]

[0144] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0145] The server integrates the basic and supplementary information to generate the following final book information:

[0146] Title: "Sample book"

[0147] Author: "Sample Author"

[0148] Brief summary: "This is a sample book."

[0149] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0150] Tags: ["Fantasy", "Adventure"]

[0151] The server then sends the final generated book information back to the user's device. The user can then view the integrated book information using a browser or a dedicated application.

[0152] In this way, users can access detailed and meaningful book information quickly through a variety of devices.

[0153] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0154] Step 1:

[0155] A user requests book information.

[0156] The user enters the book ID using a browser or a dedicated application. For example, the user enters "Book ID: 1" and clicks the "Search" button. The data entered is the book ID, and the request sent is in the form of an HTTP request. The device sends this request to the server.

[0157] Step 2:

[0158] The server receives the book ID.

[0159] The server receives an HTTP request and extracts the book ID. The input is the HTTP request, and the output is the book ID. The server then prepares to send a query to the database based on this book ID.

[0160] Step 3:

[0161] The server retrieves basic information from the database.

[0162] The server queries the database based on the book ID. It sends a query statement (for example, "SELECT FROM books WHERE id = 1"), and the database returns basic information as a response. This basic information includes the book title, author, and existing brief synopsis. The input is the book ID, and the output is the basic information. The server retains this basic information.

[0163] Step 4:

[0164] The server requests the AI ​​model to generate supplementary information.

[0165] The server formats the basic information into JSON format and sends a request to the API for generating AI models. The input is basic information, and an example of a prompt is as follows:

[0166] Title: "Sample book"

[0167] Author: "Sample Author"

[0168] Brief summary: "This is a sample book."

[0169] Please use this as a basis to generate a detailed synopsis and related tags.

[0170] The output will request the generated AI model to generate supplementary information.

[0171] Step 5:

[0172] The generative artificial intelligence generates supplementary information and sends it back to the server.

[0173] The generative AI model receives basic information and generates a detailed synopsis and related tags. The input is a prompt, and the output is the following supplementary information:

[0174] Tags: ["Fantasy", "Adventure"]

[0175] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0176] The generative AI model sends supplementary information back to the server.

[0177] Step 6:

[0178] The server integrates basic and supplementary information.

[0179] The server integrates the received supplementary and basic information. The input consists of basic and supplementary information, and the output is the integrated book information. Specifically, the data processing involves adding a detailed synopsis and tags to the basic information (title, author, brief synopsis). The following final book information is generated:

[0180] Title: "Sample book"

[0181] Author: "Sample Author"

[0182] Brief summary: "This is a sample book."

[0183] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0184] Tags: ["Fantasy", "Adventure"]

[0185] Step 7:

[0186] The server sends the integrated book information back to the user's terminal.

[0187] The server sends the integrated book information, encoded in JSON format, back to the user's device as an HTTP response. The input is the integrated book information, and the output is the HTTP response. The user's device receives this information and displays it in a browser or application. The user can then view detailed and SEO-friendly book information.

[0188] (Application Example 1)

[0189] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0190] Conventional book information systems only display basic book information, requiring users to conduct further research to obtain detailed information, which is time-consuming. Furthermore, they often fail to provide information efficiently from an SEO perspective. This invention aims to solve these problems and provide users with detailed book information that enhances SEO effectiveness, quickly and efficiently.

[0191] 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.

[0192] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for returning the generated book information to the user's terminal, and means for providing the generated book information in response to the user's search request. This makes it possible for users to quickly obtain detailed and SEO-effective book information.

[0193] "Book information" refers to information about a book, such as its title, author, synopsis, and ISBN.

[0194] "User's device" refers to electronic devices such as smartphones, tablets, and PCs that users use to obtain information via the internet.

[0195] A "database" refers to a storage system that stores basic information about books and provides that information in response to queries.

[0196] "Basic information" refers to information that makes up the book's overview, such as the book's title, author, and a brief synopsis.

[0197] "Generative artificial intelligence" refers to an artificial intelligence system that generates new information based on input data.

[0198] "Supplementary information" refers to information such as detailed summaries, related tags, and keywords generated by generative artificial intelligence.

[0199] "Integration" refers to combining basic information and supplementary information to create a single, complete book.

[0200] "SEO effect" refers to the effect of search engine optimization (SEO) on web pages to achieve higher rankings in search engine results pages.

[0201] A "search request" refers to the book selections or queries that users enter to retrieve book information.

[0202] "Return" refers to the process of sending book information generated by the server to the user's device.

[0203] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. This system consists of a server, a user terminal, a database, and a generative AI model.

[0204] Program processing

[0205] Hardware and software usage

[0206] Hardware: Servers (cloud servers, etc.), user terminals (smartphones, tablets, PCs)

[0207] Software: REST API, Generative AI Models, Database Management Systems

[0208] Examples of generative AI models: OpenAI GPT-3, Google Cloud AI (registered trademark)

[0209] Database examples: PostgreSQL, MySQL

[0210] Data processing and calculation

[0211] 1. Receiving book information:

[0212] The user requests book information from their device. The device has a search field where the user can enter the book title, author name, ISBN, etc. This entered information is sent to the server.

[0213] 2. Obtaining basic information:

[0214] The server sends queries to the database based on the book information submitted by the user to retrieve basic information. This basic information includes the book's title, author, and any existing brief synopsis.

[0215] 3. Request for generation of supplementary information:

[0216] The server sends the acquired basic information to the generating AI model and requests the generation of supplementary information such as a detailed synopsis and related tags. The generating AI model generates the supplementary information based on the information sent from the server.

[0217] 4. Generating supplementary information:

[0218] The generative AI model generates a detailed synopsis and related tags from the received basic information and sends them back to the server. An example of a prompt message is: "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'"

[0219] 5. Integration of book information:

[0220] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database to generate book information with enhanced SEO effectiveness. This book information also includes a detailed synopsis and related tags.

[0221] 6. Return of book information:

[0222] The server returns the generated book information to the user's terminal. The user can then view this information.

[0223] Specific example

[0224] For example, if a user enters "Book ID: 1" and requests book information, the server retrieves the following basic information from the database.

[0225] Title: "Sample book"

[0226] Author: "Sample Author"

[0227] Brief summary: "This is a sample book."

[0228] The server sends this basic information to the generating AI model and requests the generation of supplementary information. The generating AI model generates the following supplementary information and sends it back to the server.

[0229] Tags: ["Fantasy", "Adventure"]

[0230] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0231] The server integrates basic and supplementary information to generate the final book information. The following book information will be displayed on the user's terminal.

[0232] Title: "Sample book"

[0233] Author: "Sample Author"

[0234] Brief summary: "This is a sample book."

[0235] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0236] Tags: ["Fantasy", "Adventure"]

[0237] This allows users to quickly obtain detailed and SEO-friendly book information.

[0238] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0239] Step 1:

[0240] A user requests book information. The user enters the book title, author name, or ISBN into the search field on their device and presses the search button. This action is sent to the server as input information. The server receives this request and proceeds to the next step.

[0241] Step 2:

[0242] The server sends a query to the database to retrieve basic information. The response from the database includes the book title, author, and existing synopsis. The input here is the book information obtained in step 1, and the output is the basic information obtained from the database.

[0243] Step 3:

[0244] The server requests the generative AI model to generate supplementary information based on the acquired basic information. This basic information includes the title, author name, and a brief synopsis. The server sends this information to the generative AI model, requesting the generation of a detailed synopsis and related tags. The input is the basic information, and the output is the request to the generative AI model.

[0245] Step 4:

[0246] The generative AI model generates supplementary information based on the basic information it receives. Specifically, it generates a detailed synopsis and related tags. The input for this process is the basic information sent from the server, and the output is the generated supplementary information.

[0247] Step 5:

[0248] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database. The server combines both sets of data to generate the final book information. The input here is supplementary and basic information, and the output is the integrated, detailed book information.

[0249] Step 6:

[0250] The server returns the generated book information to the user's terminal. The user can then view the integrated book information on their terminal. In this case, the input is the integrated book information, and the output is the transmission of data to the user's terminal.

[0251] As a concrete example, when a user enters book ID "1" and searches, the server retrieves "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'" from the database and sends it to the generating AI model. The generating AI model then generates "Detailed Synopsis: 'This is an epic adventure story set in a fantastical world.', Tags: ['Fantasy', 'Adventure']" and sends it back to the server. The server integrates this information and sends the final book information back to the user's device.

[0252] 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.

[0253] This invention aims to provide book information that is more relevant to the user by combining a system that provides book information with enhanced SEO effectiveness with an emotion engine that recognizes the user's emotions. The details of the processing by each entity (server, terminal, user) are shown below.

[0254] 1. Requesting book information and obtaining sentiment information.

[0255] A user requests book information.

[0256] The user enters a specific book ID using their device and clicks the "Search" button. At this time, the device has an emotion engine built in, which acquires emotional information in real time from the user's facial expressions and voice.

[0257] The device analyzes emotional information.

[0258] When a user requests book information, the emotion engine on the device analyzes the user's emotions (e.g., joy, sadness, excitement, etc.) and prepares to send the emotion data to the server.

[0259] 2. Acquisition of basic information and transmission of emotional information

[0260] The device sends the book ID and sentiment information to the server.

[0261] The terminal sends the book ID entered by the user and the emotion information obtained from the emotion engine to the server.

[0262] The server retrieves basic information from the database.

[0263] The server receives the book ID from the terminal and sends a query to the database to retrieve basic information about the corresponding book. This basic information includes the book's title, author, and a brief synopsis.

[0264] 3. Requests for generating supplementary information and the use of sentiment information

[0265] The server requests supplementary information from the generative artificial intelligence.

[0266] The server uses the acquired basic information, along with the emotional information transmitted from the terminal, to request the generative artificial intelligence (AI) to generate supplementary information. It then sends data containing both basic and emotional information to the AI ​​service's API.

[0267] Generative artificial intelligence generates supplementary information.

[0268] The generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the received basic and emotional information. The generated supplementary information is then sent back to the server.

[0269] 4. Integration of book information and return to users

[0270] The server integrates supplementary information.

[0271] The server integrates supplementary information returned from the generative artificial intelligence with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is appropriate for the user's emotions.

[0272] The server sends the integrated book information to the terminal.

[0273] The final, integrated book information is sent from the server to the terminal.

[0274] 5. Displaying book information to the user

[0275] The device displays book information to the user.

[0276] The terminal displays integrated book information received from the server to the user. Users can browse book information that is optimized for SEO and suits their own interests.

[0277] Specific example

[0278] For example, when the user enters "Book ID: 1" to request book information and at the same time the emotion of "joy" is recognized, the details are shown below:

[0279] User request

[0280] The user enters "Book ID: 1" on the terminal and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[0281] Obtaining emotion information and basic book information

[0282] The terminal sends the book ID and the emotion information of "joy" to the server, and the server obtains the following basic information from the database:

[0283] Title: "Sample Book"

[0284] Author: "Sample Author"

[0285] Brief summary: "This is a sample book."

[0286] Request for generating supplementary information

[0287] The server sends the basic information and the emotion information of "joy" to the generative artificial intelligence.

[0288] Generation and reception of supplementary information

[0289] The generative artificial intelligence generates the following supplementary information suitable for the emotion of "joy" and returns it to the server:

[0290] Tags: ["fun", "adventure"]

[0291] Detailed summary: "This is a joyful and exciting adventure set in a fantastical world."

[0292] Integration and display of book information

[0293] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[0294] This process allows users to quickly obtain more comprehensive book information that aligns with their own emotional needs.

[0295] The following describes the processing flow.

[0296] Step 1:

[0297] To request book information, the user enters a specific book ID using the device and clicks the "Search" button. The device incorporates an emotion engine that acquires emotional information in real time from the user's facial expressions and voice.

[0298] Step 2:

[0299] The emotion engine analyzes the user's emotions and generates emotion data (e.g., joy, sadness, excitement). This emotion data is sent from the terminal to the server along with the book request information.

[0300] Step 3:

[0301] The device sends a request to the server that includes the book ID and sentiment data.

[0302] Step 4:

[0303] The server receives the book ID and sentiment data, and generates a query to retrieve the corresponding book information from the database.

[0304] Step 5:

[0305] The server retrieves basic book information (title, author, basic synopsis) from the database.

[0306] Step 6:

[0307] Combine the basic information and sentiment data obtained by the server to create an API request for transmission to the generative AI.

[0308] Step 7:

[0309] The server sends a POST request to the API endpoint of the generative AI.

[0310] Step 8:

[0311] The generative AI receives the request from the server and generates supplementary information (detailed summaries and related tags) based on the basic information and sentiment data.

[0312] Step 9:

[0313] The generative AI returns the supplementary information generated in JSON format to the server.

[0314] Step 10:

[0315] The server integrates the received supplementary information with the basic information to generate book information with enhanced SEO effects. This book information reflects content suitable for the user's sentiment.

[0316] Step 11: [[ID=4)3]]

[0317] The server sends the integrated book information to the user's terminal.

[0318] Step 12:

[0319] The terminal displays the book information received from the server to the user.

[0320] Step 13:

[0321] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[0322] Details of specific examples

[0323] Step 1:

[0324] The user enters "Book ID: 1" on their device and clicks the "Search" button. At this point, the emotion engine recognizes the emotion of "joy" from the user's facial expression.

[0325] Step 2:

[0326] The emotion engine generates emotional data, specifically "joy," and packages this data along with the request information.

[0327] Step 3:

[0328] The device sends a request to the server containing "Book ID: 1" and emotion data for "Joy".

[0329] Step 4:

[0330] The server receives the request and sends a query to the database with "Book ID: 1".

[0331] Step 5:

[0332] The server retrieves the following basic information from the database:

[0333] Title: "Sample book"

[0334] Author: "Sample Author"

[0335] Brief summary: "This is a sample book."

[0336] Step 6:

[0337] The server combines basic information and "joy" emotion data to create an API request to send to the generative artificial intelligence.

[0338] Step 7:

[0339] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[0340] Step 8:

[0341] The generative artificial intelligence generates the following supplementary information based on basic information and emotional data:

[0342] Tags: ["fun", "adventure"]

[0343] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0344] Step 9:

[0345] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[0346] Step 10:

[0347] The server integrates the basic and supplementary information to generate the following final book information:

[0348] Title: "Sample book"

[0349] Author: "Sample Author"

[0350] Brief summary: "This is a sample book."

[0351] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0352] Tags: ["fun", "adventure"]

[0353] Step 11:

[0354] The server sends the integrated book information to the terminal.

[0355] Step 12:

[0356] The device receives integrated book information and displays it to the user.

[0357] Step 13:

[0358] Users can view detailed and SEO-friendly book information on their devices and find content that resonates with their emotions.

[0359] (Example 2)

[0360] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0361] Conventional book information systems failed to consider the user's emotional state, making it impossible to present the most suitable content. Furthermore, even with the use of generative artificial intelligence, emotional information could not be reflected, resulting in limited SEO effectiveness. Additionally, the lack of means to analyze emotions made it difficult to improve the user experience.

[0362] 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.

[0363] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for obtaining the user's emotional information using an emotion engine installed in the terminal and analyzing the emotional information, means for requesting supplementary information from a generative artificial intelligence based on the analyzed emotional information and basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible to provide optimal book information tailored to the user's emotions and improve SEO effectiveness.

[0364] "Book information" refers to data that includes basic and supplementary information about a book.

[0365] "User's device" refers to electronic devices such as computers, smartphones, and tablets that users use to search for and view book information.

[0366] An "emotion engine" is a combination of software and hardware that analyzes the user's facial expressions and voice to detect their emotional state.

[0367] "Basic information" refers to static data such as the book's title, author, and basic synopsis.

[0368] "Supplementary information" refers to additional data such as detailed summaries and related tags that generative artificial intelligence generates based on basic information and emotional information.

[0369] "Generative artificial intelligence" is a type of artificial intelligence that performs natural language processing, and it is a technology that generates new text and data based on a given prompt.

[0370] "SEO effect" refers to the effect of search engine optimization, meaning technical improvements that make web pages rank higher in search engine results.

[0371] A "database management system" is software used to build, manage, and operate databases, and is a technology that enables efficient storage, retrieval, and retrieval of data.

[0372] "Analysis" is the act of extracting data and deciphering its meaning and patterns.

[0373] A "book ID" is an identifier used to uniquely identify a book.

[0374] "API" stands for Application Programming Interface, and it is an interface for exchanging data and functions between different software programs.

[0375] This invention is a system that enhances SEO effectiveness by providing book information and delivers optimal book information to users. This system has the feature of analyzing users' emotions and generating supplementary information using generative artificial intelligence.

[0376] Server roles and functions

[0377] The server first receives a request from the user's terminal that includes the book ID. Based on the received book ID, the server sends a query to a database management system (e.g., MySQL or PostgreSQL) to retrieve basic information about the book (title, author, and a brief synopsis).

[0378] Next, the emotional information and basic information sent from the terminal are combined to create a prompt message and send a request to a generative artificial intelligence API (for example, a natural language processing engine). Based on this prompt message, the generative artificial intelligence generates supplementary information such as a detailed synopsis and related tags, and sends it back to the server.

[0379] Finally, the server integrates the generated supplementary and basic information and formats it into book information with enhanced SEO effectiveness. This final book information is then sent back to the user's device.

[0380] Terminal roles and functions

[0381] The terminal provides an interface for requesting book information. When a user enters a specific book ID and clicks the "Search" button, the terminal uses its built-in emotion engine to obtain the user's emotional information. The emotion engine uses the camera and microphone to analyze facial expressions and voice, and generates emotional data. This emotional data and the book ID are sent to the server.

[0382] User operation

[0383] Users can obtain book information that reflects emotional information simply by entering the book ID into the terminal interface and clicking the "Search" button. For example, if "Book ID: 1" is entered and the emotion engine detects "joy," a request containing the emotional information "joy" is sent to the server. Based on this information, the server uses a generative artificial intelligence to create a prompt message and obtain detailed information.

[0384] Specific example

[0385] For example, if a user enters "Book ID: 1" to request book information and simultaneously recognizes the emotion "Joy," the following will occur:

[0386] 1. User Request

[0387] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[0388] 2. Acquisition of emotional information and basic book information

[0389] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[0390] Title: "Sample book"

[0391] Author: "Sample Author"

[0392] Brief summary: "This is a sample book."

[0393] 3. Request to generate supplementary information

[0394] The server includes basic information and emotional information about "joy" in the prompt message sent to the generative artificial intelligence. For example, "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'."

[0395] 4. Generation and reception of supplementary information

[0396] Generative artificial intelligence generates supplementary information tailored to the user's emotions, such as "joyful and exciting adventure," and sends it back to the server.

[0397] Tags: ["fun", "adventure"]

[0398] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0399] 5. Integration and display of book information

[0400] The server integrates basic and supplementary information and sends it back to the terminal. The terminal displays the integrated book information to the user. Users can quickly obtain more comprehensive book information that suits their own interests.

[0401] In this way, the present invention provides optimal book information that reflects the emotional state of the user, thereby enhancing SEO effectiveness.

[0402] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0403] Step 1:

[0404] A user requests book information.

[0405] Input: Enter the book ID.

[0406] Operation: The user enters the book ID into the input form on the device and clicks the "Search" button. The device's built-in camera and microphone capture the user's facial expressions and voice, and the emotion engine analyzes this to generate emotion data.

[0407] Output: Book ID and sentiment information (Example: Book ID = "1", Sentiment Information = "joy")

[0408] Step 2:

[0409] The device analyzes emotional information.

[0410] Input: Captured facial expression data and audio data

[0411] Operation: The device's emotion engine analyzes the user's facial expressions and voice, and structures them as emotion data. The emotion data is formatted as "emotion: joy".

[0412] Output: Analyzed sentiment data

[0413] Step 3:

[0414] The device sends the book ID and analyzed sentiment information to the server.

[0415] Input: Book ID, Analyzed sentiment data

[0416] Operation: The device sends the book ID and sentiment data to the server in JSON format.

[0417] Output: Request sent to the server (e.g., {"bookID": "1", "emotion": "joy"})

[0418] Step 4:

[0419] The server retrieves basic information from the database.

[0420] Input: Book ID

[0421] Operation: When the server receives a request, it sends a query based on the book ID to the database management system (e.g., MySQL or PostgreSQL) to retrieve the corresponding basic information. For example, the basic information for "Sample Book" would include the title, author, and a brief synopsis.

[0422] Output: Basic information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book."})

[0423] Step 5:

[0424] The server requests supplementary information from the generative artificial intelligence.

[0425] Input: Basic information, sentiment data

[0426] Operation: The server generates a prompt based on the received basic information and sentiment data, and sends a request to the generative artificial intelligence API. For example, it might generate a prompt such as "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'".

[0427] Output: Prompt request to generative artificial intelligence

[0428] Step 6:

[0429] Generative artificial intelligence generates supplementary information.

[0430] Input: Prompt message

[0431] Operation: The generative AI receives a prompt and generates supplementary information such as a detailed synopsis and tags. If the emotion information is "joy," supplementary information containing positive content will be generated.

[0432] Output: Generated supplementary information (Example: {"tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[0433] Step 7:

[0434] The server integrates supplementary information.

[0435] Input: Basic information, supplementary information

[0436] Operation: The server integrates the generated supplementary information with the basic information and formats it into final book information with enhanced SEO effectiveness. For example, it integrates the basic and supplementary information into an HTML template.

[0437] Output: Integrated book information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book.", "tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[0438] Step 8:

[0439] The server sends the integrated book information to the terminal.

[0440] Input: Integrated book information

[0441] Operation: The server sends integrated book information to the terminal. HTTPS is used for communication.

[0442] Output: Book information returned to the terminal

[0443] Step 9:

[0444] The device displays book information to the user.

[0445] Input: Received book information

[0446] Operation: The terminal renders the received book information in HTML format and displays it to the user. The interface displays the book title, author, detailed synopsis, and related tags.

[0447] Output: Book information displayed to the user

[0448] The above outlines the specific processing steps. This process allows users to quickly obtain more comprehensive book information that matches their own emotional needs.

[0449] (Application Example 2)

[0450] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0451] In recent years, it has become common practice for book information systems to display uniform information without considering the user's emotions. As a result, users are often provided with book information that does not match their emotions, and there is a need to improve the user experience. In particular, if it becomes possible to provide personalized information that corresponds to the user's emotional state, it is expected that user satisfaction will increase and the desire to purchase books will be stimulated. However, current systems lack the means to achieve this, and therefore, effective book information provision is not possible.

[0452] 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.

[0453] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for recognizing the user's emotions in real time and obtaining the recognized emotion information, means for sending data containing the recognized emotion information to the server and requesting the generation of supplementary information based on the emotion information, and means for returning the generated book information to the user's terminal. This makes it possible to provide personalized book information that is appropriate to the user's emotions.

[0454] Definitions of important words

[0455] "Book information" refers to various data related to a book, such as the book's title, author, synopsis, and tags.

[0456] "Terminal" refers to a device used by a user to search for book information, and includes smartphones, tablets, and personal computers.

[0457] A "database" refers to a collection of information that stores basic information about a book, and it can be accessed through queries.

[0458] "Basic information" refers to fundamental data stored in the database, such as the book's title, author, and basic synopsis.

[0459] "Generative artificial intelligence" refers to artificial intelligence that generates new information or text based on input data.

[0460] "Supplementary information" refers to detailed summaries, related tags, and other information generated by generative artificial intelligence to complement the basic information.

[0461] "SEO effect" refers to the phenomenon where information about a particular book appears higher in search results due to search engine optimization.

[0462] An "emotion engine" refers to technology or software that recognizes a user's emotions from facial expressions, voice, and other sources.

[0463] "Emotional information" refers to data about the user's emotions as recognized by the emotion engine.

[0464] A "request" refers to the act of requesting specific information or services, and in this context, it means a request aimed at obtaining book information or supplementary information.

[0465] "Integration" refers to the act of combining multiple pieces of information into one; in this context, it means combining basic information and supplementary information to create book information.

[0466] A "user" refers to a person who uses this system to search for and retrieve book information.

[0467] Modes for carrying out the invention

[0468] This invention relates to a system that personalizes book information to the user's emotions and provides it in real time. The details of the server, terminal, and user processing are described below.

[0469] Server Processing

[0470] The server first receives a book information request sent from the user's terminal. This request includes the book ID and the user's sentiment information as recognized by the sentiment engine. Based on the book ID, the server retrieves basic information about the book from the database. This basic information includes the book's title, author, and a brief synopsis.

[0471] Next, the server requests the generative artificial intelligence (AI) to generate supplementary information using the basic information and emotional information. This request is made via the AI's API. The AI ​​combines the basic information with the emotional information to generate supplementary information such as a detailed synopsis and related tags. The generated supplementary information is then sent back to the server.

[0472] The server integrates the returned supplementary information with the basic information to generate book information with enhanced SEO effectiveness. The generated book information reflects content that resonates with the user's emotions. Finally, this integrated book information is sent back to the terminal.

[0473] Terminal processing

[0474] The terminal first sends a book information request to the server when the user enters the book ID and clicks the "Search" button. At this time, the terminal's emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional information. The emotion engine uses facial recognition and voice analysis technologies.

[0475] The acquired emotion information and book ID are sent together to the server. Once the server returns the integrated book information, the terminal displays that information to the user. The displayed book information includes content that matches the user's emotions, improving the user experience.

[0476] Hardware and software to be used

[0477] The hardware used includes smartphones, tablets, and personal computers. The emotion engine implementation utilizes facial recognition and voice analysis software. For example, the EmotionEngine library is used as the emotion engine. On the server side, an SQL database is used, and the AIGenerator module is utilized for generative artificial intelligence. The requests library is used for API requests.

[0478] Specific example

[0479] The user enters book ID "1" and clicks the "Search" button. The emotion engine recognizes the user's emotion of "joy." The terminal sends the book ID and emotion information of "joy" to the server. The server retrieves the following basic information from the database:

[0480] Title: "Sample book"

[0481] Author: "Sample Author"

[0482] Brief summary: "This is a sample book."

[0483] This basic information and the emotion information of "joy" are sent to the generative artificial intelligence system, which then generates the following supplementary information:

[0484] Tags: ["fun", "adventure"]

[0485] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0486] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[0487] Example of a prompt

[0488] "book_id = '1'

[0489] display_book_info(book_id)"

[0490] Entering this prompt will execute the process that occurs when the user searches for "Book ID: 1".

[0491] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0492] Program processing steps

[0493] Step 1:

[0494] The user enters the book ID using their device and clicks the search button.

[0495] Specific action: The user enters "Book ID: 1" into the input form on their smartphone or tablet and presses the "Search" button.

[0496] Input: Book ID

[0497] Output: The book ID is recognized by the device.

[0498] Step 2:

[0499] The device's emotion engine analyzes the user's facial expressions and voice to obtain emotional information.

[0500] Specific operation: EmotionEngine, which performs facial recognition and voice analysis, is launched and recognizes emotions in real time while the user is inputting. For example, it detects the emotion of "joy" from facial expressions.

[0501] Input: User's facial expressions and voice data

[0502] Output: Recognized emotion information (e.g., "joy")

[0503] Step 3:

[0504] The device sends the book ID and sentiment information to the server.

[0505] Specific operation: The device combines the book ID and recognized emotion information into a single packet and sends it to the server.

[0506] Input: Book ID, sentiment information

[0507] Output: Request data received by the server

[0508] Step 4:

[0509] The server retrieves basic information from the database.

[0510] Specific operation: The server uses the book ID to query the database and retrieves basic information (title, author, synopsis) for the relevant book.

[0511] Input: Book ID

[0512] Output: Basic information (title, author, basic synopsis)

[0513] Step 5:

[0514] The server sends basic information and emotional information to a generative artificial intelligence system and requests the generation of supplementary information.

[0515] Specific operation: The server sends basic information and emotional information to the API of a generative artificial intelligence system and requests that it generate supplementary information in a format appropriate to the emotions.

[0516] Input: Basic information, emotional information

[0517] Output: Supplementary information generated by a generative artificial intelligence.

[0518] Step 6:

[0519] The server receives supplementary information returned by the generative artificial intelligence and integrates it with the basic information.

[0520] Specific operation: Receive supplementary information returned from the generative artificial intelligence and integrate the basic information and supplementary information into a single dataset.

[0521] Input: Supplementary information, basic information

[0522] Output: Integrated book information (book information with enhanced SEO effectiveness)

[0523] Step 7:

[0524] The server sends the integrated book information back to the terminal.

[0525] Specific operation: The server sends the integrated book information to the terminal, making it accessible to the user.

[0526] Input: Integrated book information

[0527] Output: Integrated book information received by the device

[0528] Step 8:

[0529] The device displays integrated book information to the user.

[0530] Specific operation: The device analyzes the received data and displays the book's title, author, synopsis, tags, etc., on the screen.

[0531] Input: Integrated book information

[0532] Output: Personalized book information displayed on the screen

[0533] 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.

[0534] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0535] 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.

[0536] [Second Embodiment]

[0537] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0538] 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.

[0539] 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).

[0540] 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.

[0541] 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.

[0542] 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).

[0543] 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.

[0544] 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.

[0545] 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.

[0546] 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.

[0547] 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.

[0548] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0549] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. The details of the processing by each entity (user, server, terminal) are shown below.

[0550] 1. Request for book information

[0551] A user requests book information.

[0552] The user uses their device to enter a specific book ID and requests book information. This request is sent from the user's device to the server.

[0553] 2. Obtaining basic information

[0554] The server retrieves basic information from the database.

[0555] After receiving a request from a user, the server sends a query to the database to retrieve basic information about the book. This basic information includes the book's title, author, and any existing brief synopsis.

[0556] 3. Request to generate supplementary information

[0557] The server requests supplementary information from the generative artificial intelligence.

[0558] Based on the acquired basic information, the server requests the generative artificial intelligence (AI) to generate supplementary information. The server formats the basic information and sends it to the AI ​​service's API. Specifically, it sends a request that includes information such as the book title, author, and existing brief synopsis.

[0559] 4. Generation and reception of supplementary information

[0560] Generative artificial intelligence generates supplementary information.

[0561] Generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the basic information it receives. This supplementary information is then sent back to the server as the AI's output.

[0562] 5. Integration of book information

[0563] The server integrates supplementary information.

[0564] The server uses the received supplementary information to combine it with the basic information and generate complete book information. This book information includes a detailed synopsis and tags to enhance SEO effectiveness.

[0565] 6. Return of book information

[0566] The server sends book information back to the user's terminal.

[0567] The final generated book information is sent from the server to the user's terminal. The user then uses their terminal to verify the integrated book information.

[0568] Specific example

[0569] For example, the details of a case where a user enters "Book ID: 1" and requests book information are shown below.

[0570] User request

[0571] The user enters "Book ID: 1" on their device and clicks the "Search" button.

[0572] Obtaining basic information

[0573] The server queries the database with "Book ID: 1" and retrieves the following basic information:

[0574] Title: "Sample book"

[0575] Author: "Sample Author"

[0576] Brief summary: "This is a sample book."

[0577] Request to generate supplementary information

[0578] The server sends the acquired basic information to the AI ​​service and requests the generation of supplementary information.

[0579] Generation and reception of supplementary information

[0580] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[0581] Tags: ["Fantasy", "Adventure"]

[0582] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0583] Integration of book information

[0584] The server integrates basic and supplementary information to generate the following final book information:

[0585] Title: "Sample book"

[0586] Author: "Sample Author"

[0587] Brief summary: "This is a sample book."

[0588] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0589] Tags: ["Fantasy", "Adventure"]

[0590] Return to the user's device

[0591] The server sends the integrated book information back to the user's terminal, and the user can then view this information.

[0592] This process allows users to quickly obtain detailed and SEO-friendly book information.

[0593] The following describes the processing flow.

[0594] Step 1:

[0595] To request book information, the user uses their device to enter a specific book ID and clicks the "Search" button.

[0596] Step 2:

[0597] The terminal sends the book ID entered by the user to the server.

[0598] Step 3:

[0599] The server receives the book ID and generates and sends a query to the database to retrieve the corresponding book information.

[0600] Step 4:

[0601] The server retrieves basic book information (title, author, basic synopsis) from the database.

[0602] Step 5:

[0603] The server formats the basic information it has acquired and creates an API request to request the generative artificial intelligence (AI) to generate supplementary information.

[0604] Step 6:

[0605] The server sends a POST request to the generative AI's API endpoint.

[0606] Step 7:

[0607] The generative AI receives a request from the server and generates supplementary information (detailed synopsis, relevant tags) based on the basic information.

[0608] Step 8:

[0609] The generative AI generates supplementary information which is then returned to the server in JSON format.

[0610] Step 9:

[0611] The server integrates the supplementary information it receives with the basic information to generate book information that enhances SEO effectiveness.

[0612] Step 10:

[0613] The server sends the final, integrated book information back to the user's terminal.

[0614] Step 11:

[0615] The terminal displays book information received from the server to the user.

[0616] Step 12:

[0617] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[0618] (Example 1)

[0619] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0620] Modern book information systems are required to provide users with detailed and relevant information about the books they search for quickly and effectively. However, existing systems only provide basic information, and do not adequately provide detailed summaries or information that takes SEO into consideration. As a result, there is a problem of decreased user satisfaction with the search experience and the usefulness of the information.

[0621] 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.

[0622] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible for users to quickly obtain detailed book information with high SEO effectiveness.

[0623] "Book information" refers to a set of data related to a book, including information such as the title, author, brief synopsis, detailed synopsis, and related tags.

[0624] "User" refers to anyone who uses this system to obtain book information.

[0625] A "terminal" is an electronic device used by a user to operate this system, and specifically includes smartphones, tablets, and personal computers.

[0626] A "server" is a central computer that handles the processing of the entire system, and its role is to access databases, communicate with generative artificial intelligence, and integrate and return the generated information.

[0627] A "database" is an electronic information system used to store and manage basic information about books.

[0628] "Basic information" refers to initial information obtained from the database, such as the book's title, author, and existing brief synopsis.

[0629] "Generative artificial intelligence" refers to an artificial intelligence system that uses machine learning techniques to generate supplementary information based on given basic information.

[0630] "Supplementary information" refers to additional information such as detailed summaries and related tags that generative artificial intelligence generates based on basic information.

[0631] "SEO effect" is an abbreviation for Search Engine Optimization, and refers to various techniques and methods used to improve the search ranking of information on the internet.

[0632] A "prompt sentence" refers to a specific sentence used to input instructions or information to a generative artificial intelligence (AI), which then generates supplementary information based on this prompt.

[0633] This invention relates to a system in which users request book information, and a server and generative artificial intelligence are used to provide detailed book information with high SEO effectiveness. The method of implementing this system, along with the hardware and software used, will be described in detail.

[0634] First, users request book information using their own devices. These devices can include PCs, smartphones, and tablets. Users enter the book ID using a browser or dedicated application on these devices and submit the request. This request is sent to the server as an HTTP request.

[0635] The server parses the received HTTP request and obtains the book ID. During this process, the server sends a query to the database to retrieve basic information. Relational databases such as MySQL or PostgreSQL can be used as the database. The retrieved basic information includes the book title, author, and existing brief synopsis.

[0636] Next, the server requests the generative artificial intelligence to generate supplementary information based on the acquired basic information. Specifically, the server formats the basic information into JSON format and sends an HTTP POST request to the generative AI model's API. For example, OpenAI's GPT-3 can be used as this generative AI model.

[0637] Generative artificial intelligence analyzes the received information and generates supplementary information such as detailed summaries and relevant tags. The generated supplementary information is sent back from the AI ​​model to the server. The returned information is received again by the server and integrated with the basic information. This process generates book information with enhanced SEO effectiveness.

[0638] Finally, the generated book information is sent back from the server to the user's device. This allows the user to view detailed and SEO-friendly book information on their device.

[0639] Specific example

[0640] For example, the details of a user requesting book information by entering "Book ID: 1" are shown below.

[0641] The user enters "Book ID: 1" on their device and clicks the "Search" button. An HTTP request is sent to the server.

[0642] The server queries the database to retrieve basic information:

[0643] Title: "Sample book"

[0644] Author: "Sample Author"

[0645] Brief summary: "This is a sample book."

[0646] The server sends a request to the generated AI model that includes the following prompt:

[0647] Title: "Sample book"

[0648] Author: "Sample Author"

[0649] Brief summary: "This is a sample book."

[0650] Please use this as a basis to generate a detailed synopsis and related tags.

[0651] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[0652] Tags: ["Fantasy", "Adventure"]

[0653] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0654] The server integrates the basic and supplementary information to generate the following final book information:

[0655] Title: "Sample book"

[0656] Author: "Sample Author"

[0657] Brief summary: "This is a sample book."

[0658] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0659] Tags: ["Fantasy", "Adventure"]

[0660] The server then sends the final generated book information back to the user's device. The user can then view the integrated book information using a browser or a dedicated application.

[0661] In this way, users can access detailed and meaningful book information quickly through a variety of devices.

[0662] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0663] Step 1:

[0664] A user requests book information.

[0665] The user enters the book ID using a browser or a dedicated application. For example, the user enters "Book ID: 1" and clicks the "Search" button. The data entered is the book ID, and the request sent is in the form of an HTTP request. The device sends this request to the server.

[0666] Step 2:

[0667] The server receives the book ID.

[0668] The server receives an HTTP request and extracts the book ID. The input is the HTTP request, and the output is the book ID. The server then prepares to send a query to the database based on this book ID.

[0669] Step 3:

[0670] The server retrieves basic information from the database.

[0671] The server queries the database based on the book ID. It sends a query statement (for example, "SELECT FROM books WHERE id = 1"), and the database returns basic information as a response. This basic information includes the book title, author, and existing brief synopsis. The input is the book ID, and the output is the basic information. The server retains this basic information.

[0672] Step 4:

[0673] The server requests the AI ​​model to generate supplementary information.

[0674] The server formats the basic information into JSON format and sends a request to the API for generating AI models. The input is basic information, and an example of a prompt is as follows:

[0675] Title: "Sample book"

[0676] Author: "Sample Author"

[0677] Brief summary: "This is a sample book."

[0678] Please use this as a basis to generate a detailed synopsis and related tags.

[0679] The output will request the generated AI model to generate supplementary information.

[0680] Step 5:

[0681] The generative artificial intelligence generates supplementary information and sends it back to the server.

[0682] The generative AI model receives basic information and generates a detailed synopsis and related tags. The input is a prompt, and the output is the following supplementary information:

[0683] Tags: ["Fantasy", "Adventure"]

[0684] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0685] The generative AI model sends supplementary information back to the server.

[0686] Step 6:

[0687] The server integrates basic and supplementary information.

[0688] The server integrates the received supplementary and basic information. The input consists of basic and supplementary information, and the output is the integrated book information. Specifically, the data processing involves adding a detailed synopsis and tags to the basic information (title, author, brief synopsis). The following final book information is generated:

[0689] Title: "Sample book"

[0690] Author: "Sample Author"

[0691] Brief summary: "This is a sample book."

[0692] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0693] Tags: ["Fantasy", "Adventure"]

[0694] Step 7:

[0695] The server sends the integrated book information back to the user's terminal.

[0696] The server sends the integrated book information, encoded in JSON format, back to the user's device as an HTTP response. The input is the integrated book information, and the output is the HTTP response. The user's device receives this information and displays it in a browser or application. The user can then view detailed and SEO-friendly book information.

[0697] (Application Example 1)

[0698] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0699] Conventional book information systems only display basic book information, requiring users to conduct further research to obtain detailed information, which is time-consuming. Furthermore, they often fail to provide information efficiently from an SEO perspective. This invention aims to solve these problems and provide users with detailed book information that enhances SEO effectiveness, quickly and efficiently.

[0700] 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.

[0701] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for returning the generated book information to the user's terminal, and means for providing the generated book information in response to the user's search request. This makes it possible for users to quickly obtain detailed and SEO-effective book information.

[0702] "Book information" refers to information about a book, such as its title, author, synopsis, and ISBN.

[0703] "User's device" refers to electronic devices such as smartphones, tablets, and PCs that users use to obtain information via the internet.

[0704] A "database" refers to a storage system that stores basic information about books and provides that information in response to queries.

[0705] "Basic information" refers to information that makes up the book's overview, such as the book's title, author, and a brief synopsis.

[0706] "Generative artificial intelligence" refers to an artificial intelligence system that generates new information based on input data.

[0707] "Supplementary information" refers to information such as detailed summaries, related tags, and keywords generated by generative artificial intelligence.

[0708] "Integration" refers to combining basic information and supplementary information to create a single, complete book.

[0709] "SEO effect" refers to the effect of search engine optimization (SEO) on web pages to achieve higher rankings in search engine results pages.

[0710] A "search request" refers to the book selections or queries that users enter to retrieve book information.

[0711] "Return" refers to the process of sending book information generated by the server to the user's device.

[0712] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. This system consists of a server, a user terminal, a database, and a generative AI model.

[0713] Program processing

[0714] Hardware and software usage

[0715] Hardware: Servers (cloud servers, etc.), user terminals (smartphones, tablets, PCs)

[0716] Software: REST API, Generative AI Models, Database Management Systems

[0717] Examples of generative AI models: OpenAI GPT-3, Google Cloud AI

[0718] Database examples: PostgreSQL, MySQL

[0719] Data processing and calculation

[0720] 1. Receiving book information:

[0721] The user requests book information from their device. The device has a search field where the user can enter the book title, author name, ISBN, etc. This entered information is sent to the server.

[0722] 2. Obtaining basic information:

[0723] The server sends queries to the database based on the book information submitted by the user to retrieve basic information. This basic information includes the book's title, author, and any existing brief synopsis.

[0724] 3. Request for generation of supplementary information:

[0725] The server sends the acquired basic information to the generating AI model and requests the generation of supplementary information such as a detailed synopsis and related tags. The generating AI model generates the supplementary information based on the information sent from the server.

[0726] 4. Generating supplementary information:

[0727] The generative AI model generates a detailed synopsis and related tags from the received basic information and sends them back to the server. An example of a prompt message is: "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'"

[0728] 5. Integration of book information:

[0729] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database to generate book information with enhanced SEO effectiveness. This book information also includes a detailed synopsis and related tags.

[0730] 6. Return of book information:

[0731] The server returns the generated book information to the user's terminal. The user can then view this information.

[0732] Specific example

[0733] For example, if a user enters "Book ID: 1" and requests book information, the server retrieves the following basic information from the database.

[0734] Title: "Sample book"

[0735] Author: "Sample Author"

[0736] Brief summary: "This is a sample book."

[0737] The server sends this basic information to the generating AI model and requests the generation of supplementary information. The generating AI model generates the following supplementary information and sends it back to the server.

[0738] Tags: ["Fantasy", "Adventure"]

[0739] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0740] The server integrates basic and supplementary information to generate the final book information. The following book information will be displayed on the user's terminal.

[0741] Title: "Sample book"

[0742] Author: "Sample Author"

[0743] Brief summary: "This is a sample book."

[0744] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[0745] Tags: ["Fantasy", "Adventure"]

[0746] This allows users to quickly obtain detailed and SEO-friendly book information.

[0747] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0748] Step 1:

[0749] A user requests book information. The user enters the book title, author name, or ISBN into the search field on their device and presses the search button. This action is sent to the server as input information. The server receives this request and proceeds to the next step.

[0750] Step 2:

[0751] The server sends a query to the database to retrieve basic information. The response from the database includes the book title, author, and existing synopsis. The input here is the book information obtained in step 1, and the output is the basic information obtained from the database.

[0752] Step 3:

[0753] The server requests the generative AI model to generate supplementary information based on the acquired basic information. This basic information includes the title, author name, and a brief synopsis. The server sends this information to the generative AI model, requesting the generation of a detailed synopsis and related tags. The input is the basic information, and the output is the request to the generative AI model.

[0754] Step 4:

[0755] The generative AI model generates supplementary information based on the basic information it receives. Specifically, it generates a detailed synopsis and related tags. The input for this process is the basic information sent from the server, and the output is the generated supplementary information.

[0756] Step 5:

[0757] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database. The server combines both sets of data to generate the final book information. The input here is supplementary and basic information, and the output is the integrated, detailed book information.

[0758] Step 6:

[0759] The server returns the generated book information to the user's terminal. The user can then view the integrated book information on their terminal. In this case, the input is the integrated book information, and the output is the transmission of data to the user's terminal.

[0760] As a concrete example, when a user enters book ID "1" and searches, the server retrieves "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'" from the database and sends it to the generating AI model. The generating AI model then generates "Detailed Synopsis: 'This is an epic adventure story set in a fantastical world.', Tags: ['Fantasy', 'Adventure']" and sends it back to the server. The server integrates this information and sends the final book information back to the user's device.

[0761] 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.

[0762] This invention aims to provide book information that is more relevant to the user by combining a system that provides book information with enhanced SEO effectiveness with an emotion engine that recognizes the user's emotions. The details of the processing by each entity (server, terminal, user) are shown below.

[0763] 1. Requesting book information and obtaining sentiment information.

[0764] A user requests book information.

[0765] The user enters a specific book ID using their device and clicks the "Search" button. At this time, the device has an emotion engine built in, which acquires emotional information in real time from the user's facial expressions and voice.

[0766] The device analyzes emotional information.

[0767] When a user requests book information, the emotion engine on the device analyzes the user's emotions (e.g., joy, sadness, excitement, etc.) and prepares to send the emotion data to the server.

[0768] 2. Acquisition of basic information and transmission of emotional information

[0769] The device sends the book ID and sentiment information to the server.

[0770] The terminal sends the book ID entered by the user and the emotion information obtained from the emotion engine to the server.

[0771] The server retrieves basic information from the database.

[0772] The server receives the book ID from the terminal and sends a query to the database to retrieve basic information about the corresponding book. This basic information includes the book's title, author, and a brief synopsis.

[0773] 3. Requests for generating supplementary information and the use of sentiment information

[0774] The server requests supplementary information from the generative artificial intelligence.

[0775] The server uses the acquired basic information, along with the emotional information transmitted from the terminal, to request the generative artificial intelligence (AI) to generate supplementary information. It then sends data containing both basic and emotional information to the AI ​​service's API.

[0776] Generative artificial intelligence generates supplementary information.

[0777] The generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the received basic and emotional information. The generated supplementary information is then sent back to the server.

[0778] 4. Integration of book information and return to users

[0779] The server integrates supplementary information.

[0780] The server integrates supplementary information returned from the generative artificial intelligence with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is appropriate for the user's emotions.

[0781] The server sends the integrated book information to the terminal.

[0782] The final, integrated book information is sent from the server to the terminal.

[0783] 5. Displaying book information to the user

[0784] The device displays book information to the user.

[0785] The terminal displays integrated book information received from the server to the user. Users can browse book information that is optimized for SEO and suits their own interests.

[0786] Specific example

[0787] For example, the following details describe a case where a user enters "Book ID: 1" to request book information, and simultaneously recognizes the emotion "Joy":

[0788] User request

[0789] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[0790] Acquisition of emotional information and basic book information

[0791] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[0792] Title: "Sample book"

[0793] Author: "Sample Author"

[0794] Brief summary: "This is a sample book."

[0795] Request to generate supplementary information

[0796] The server sends basic information and emotional information related to "joy" to the generative artificial intelligence.

[0797] Generation and reception of supplementary information

[0798] The generative artificial intelligence generates the following supplementary information appropriate for the emotion of "joy" and sends it back to the server:

[0799] Tags: ["fun", "adventure"]

[0800] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0801] Integration and display of book information

[0802] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[0803] This process allows users to quickly obtain more comprehensive book information that aligns with their own emotional needs.

[0804] The following describes the processing flow.

[0805] Step 1:

[0806] To request book information, the user enters a specific book ID using the device and clicks the "Search" button. The device incorporates an emotion engine that acquires emotional information in real time from the user's facial expressions and voice.

[0807] Step 2:

[0808] The emotion engine analyzes the user's emotions and generates emotion data (e.g., joy, sadness, excitement). This emotion data is sent from the terminal to the server along with the book request information.

[0809] Step 3:

[0810] The device sends a request to the server that includes the book ID and sentiment data.

[0811] Step 4:

[0812] The server receives the book ID and sentiment data, and generates a query to retrieve the corresponding book information from the database.

[0813] Step 5:

[0814] The server retrieves basic book information (title, author, basic synopsis) from the database.

[0815] Step 6:

[0816] The server combines basic information and emotional data acquired by the server and creates an API request to send to the generative artificial intelligence.

[0817] Step 7:

[0818] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[0819] Step 8:

[0820] The generative artificial intelligence receives a request from the server and generates supplementary information (detailed synopsis and related tags) based on basic information and emotional data.

[0821] Step 9:

[0822] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[0823] Step 10:

[0824] The server integrates the received supplementary information with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is relevant to the user's emotions.

[0825] Step 11:

[0826] The server sends the integrated book information to the user's terminal.

[0827] Step 12:

[0828] The terminal displays book information received from the server to the user.

[0829] Step 13:

[0830] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[0831] Details of specific examples

[0832] Step 1:

[0833] The user enters "Book ID: 1" on their device and clicks the "Search" button. At this point, the emotion engine recognizes the emotion of "joy" from the user's facial expression.

[0834] Step 2:

[0835] The emotion engine generates emotional data, specifically "joy," and packages this data along with the request information.

[0836] Step 3:

[0837] The device sends a request to the server containing "Book ID: 1" and emotion data for "Joy".

[0838] Step 4:

[0839] The server receives the request and sends a query to the database with "Book ID: 1".

[0840] Step 5:

[0841] The server retrieves the following basic information from the database:

[0842] Title: "Sample book"

[0843] Author: "Sample Author"

[0844] Brief summary: "This is a sample book."

[0845] Step 6:

[0846] The server combines basic information and "joy" emotion data to create an API request to send to the generative artificial intelligence.

[0847] Step 7:

[0848] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[0849] Step 8:

[0850] The generative artificial intelligence generates the following supplementary information based on basic information and emotional data:

[0851] Tags: ["fun", "adventure"]

[0852] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0853] Step 9:

[0854] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[0855] Step 10:

[0856] The server integrates the basic and supplementary information to generate the following final book information:

[0857] Title: "Sample book"

[0858] Author: "Sample Author"

[0859] Brief summary: "This is a sample book."

[0860] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0861] Tags: ["fun", "adventure"]

[0862] Step 11:

[0863] The server sends the integrated book information to the terminal.

[0864] Step 12:

[0865] The device receives integrated book information and displays it to the user.

[0866] Step 13:

[0867] Users can view detailed and SEO-friendly book information on their devices and find content that resonates with their emotions.

[0868] (Example 2)

[0869] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0870] Conventional book information systems failed to consider the user's emotional state, making it impossible to present the most suitable content. Furthermore, even with the use of generative artificial intelligence, emotional information could not be reflected, resulting in limited SEO effectiveness. Additionally, the lack of means to analyze emotions made it difficult to improve the user experience.

[0871] 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.

[0872] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for obtaining the user's emotional information using an emotion engine installed in the terminal and analyzing the emotional information, means for requesting supplementary information from a generative artificial intelligence based on the analyzed emotional information and basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible to provide optimal book information tailored to the user's emotions and improve SEO effectiveness.

[0873] "Book information" refers to data that includes basic and supplementary information about a book.

[0874] "User's device" refers to electronic devices such as computers, smartphones, and tablets that users use to search for and view book information.

[0875] An "emotion engine" is a combination of software and hardware that analyzes the user's facial expressions and voice to detect their emotional state.

[0876] "Basic information" refers to static data such as the book's title, author, and basic synopsis.

[0877] "Supplementary information" refers to additional data such as detailed summaries and related tags that generative artificial intelligence generates based on basic information and emotional information.

[0878] "Generative artificial intelligence" is a type of artificial intelligence that performs natural language processing, and it is a technology that generates new text and data based on a given prompt.

[0879] "SEO effect" refers to the effect of search engine optimization, meaning technical improvements that make web pages rank higher in search engine results.

[0880] A "database management system" is software used to build, manage, and operate databases, and is a technology that enables efficient storage, retrieval, and retrieval of data.

[0881] "Analysis" is the act of extracting data and deciphering its meaning and patterns.

[0882] A "book ID" is an identifier used to uniquely identify a book.

[0883] "API" stands for Application Programming Interface, and it is an interface for exchanging data and functions between different software programs.

[0884] This invention is a system that enhances SEO effectiveness by providing book information and delivers optimal book information to users. This system has the feature of analyzing users' emotions and generating supplementary information using generative artificial intelligence.

[0885] Server roles and functions

[0886] The server first receives a request from the user's terminal that includes the book ID. Based on the received book ID, the server sends a query to a database management system (e.g., MySQL or PostgreSQL) to retrieve basic information about the book (title, author, and a brief synopsis).

[0887] Next, the emotional information and basic information sent from the terminal are combined to create a prompt message and send a request to a generative artificial intelligence API (for example, a natural language processing engine). Based on this prompt message, the generative artificial intelligence generates supplementary information such as a detailed synopsis and related tags, and sends it back to the server.

[0888] Finally, the server integrates the generated supplementary and basic information and formats it into book information with enhanced SEO effectiveness. This final book information is then sent back to the user's device.

[0889] Terminal roles and functions

[0890] The terminal provides an interface for requesting book information. When a user enters a specific book ID and clicks the "Search" button, the terminal uses its built-in emotion engine to obtain the user's emotional information. The emotion engine uses the camera and microphone to analyze facial expressions and voice, and generates emotional data. This emotional data and the book ID are sent to the server.

[0891] User operation

[0892] Users can obtain book information that reflects emotional information simply by entering the book ID into the terminal interface and clicking the "Search" button. For example, if "Book ID: 1" is entered and the emotion engine detects "joy," a request containing the emotional information "joy" is sent to the server. Based on this information, the server uses a generative artificial intelligence to create a prompt message and obtain detailed information.

[0893] Specific example

[0894] For example, if a user enters "Book ID: 1" to request book information and simultaneously recognizes the emotion "Joy," the following will occur:

[0895] 1. User Request

[0896] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[0897] 2. Acquisition of emotional information and basic book information

[0898] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[0899] Title: "Sample book"

[0900] Author: "Sample Author"

[0901] Brief summary: "This is a sample book."

[0902] 3. Request to generate supplementary information

[0903] The server includes basic information and emotional information about "joy" in the prompt message sent to the generative artificial intelligence. For example, "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'."

[0904] 4. Generation and reception of supplementary information

[0905] Generative artificial intelligence generates supplementary information tailored to the user's emotions, such as "joyful and exciting adventure," and sends it back to the server.

[0906] Tags: ["fun", "adventure"]

[0907] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0908] 5. Integration and display of book information

[0909] The server integrates basic and supplementary information and sends it back to the terminal. The terminal displays the integrated book information to the user. Users can quickly obtain more comprehensive book information that suits their own interests.

[0910] In this way, the present invention provides optimal book information that reflects the emotional state of the user, thereby enhancing SEO effectiveness.

[0911] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0912] Step 1:

[0913] A user requests book information.

[0914] Input: Enter the book ID.

[0915] Operation: The user enters the book ID into the input form on the device and clicks the "Search" button. The device's built-in camera and microphone capture the user's facial expressions and voice, and the emotion engine analyzes this to generate emotion data.

[0916] Output: Book ID and sentiment information (Example: Book ID = "1", Sentiment Information = "joy")

[0917] Step 2:

[0918] The device analyzes emotional information.

[0919] Input: Captured facial expression data and audio data

[0920] Operation: The device's emotion engine analyzes the user's facial expressions and voice, and structures them as emotion data. The emotion data is formatted as "emotion: joy".

[0921] Output: Analyzed sentiment data

[0922] Step 3:

[0923] The device sends the book ID and analyzed sentiment information to the server.

[0924] Input: Book ID, Analyzed sentiment data

[0925] Operation: The device sends the book ID and sentiment data to the server in JSON format.

[0926] Output: Request sent to the server (e.g., {"bookID": "1", "emotion": "joy"})

[0927] Step 4:

[0928] The server retrieves basic information from the database.

[0929] Input: Book ID

[0930] Operation: When the server receives a request, it sends a query based on the book ID to the database management system (e.g., MySQL or PostgreSQL) to retrieve the corresponding basic information. For example, the basic information for "Sample Book" would include the title, author, and a brief synopsis.

[0931] Output: Basic information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book."})

[0932] Step 5:

[0933] The server requests supplementary information from the generative artificial intelligence.

[0934] Input: Basic information, sentiment data

[0935] Operation: The server generates a prompt based on the received basic information and sentiment data, and sends a request to the generative artificial intelligence API. For example, it might generate a prompt such as "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'".

[0936] Output: Prompt request to generative artificial intelligence

[0937] Step 6:

[0938] Generative artificial intelligence generates supplementary information.

[0939] Input: Prompt message

[0940] Operation: The generative AI receives a prompt and generates supplementary information such as a detailed synopsis and tags. If the emotion information is "joy," supplementary information containing positive content will be generated.

[0941] Output: Generated supplementary information (Example: {"tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[0942] Step 7:

[0943] The server integrates supplementary information.

[0944] Input: Basic information, supplementary information

[0945] Operation: The server integrates the generated supplementary information with the basic information and formats it into final book information with enhanced SEO effectiveness. For example, it integrates the basic and supplementary information into an HTML template.

[0946] Output: Integrated book information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book.", "tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[0947] Step 8:

[0948] The server sends the integrated book information to the terminal.

[0949] Input: Integrated book information

[0950] Operation: The server sends integrated book information to the terminal. HTTPS is used for communication.

[0951] Output: Book information returned to the terminal

[0952] Step 9:

[0953] The device displays book information to the user.

[0954] Input: Received book information

[0955] Operation: The terminal renders the received book information in HTML format and displays it to the user. The interface displays the book title, author, detailed synopsis, and related tags.

[0956] Output: Book information displayed to the user

[0957] The above outlines the specific processing steps. This process allows users to quickly obtain more comprehensive book information that matches their own emotional needs.

[0958] (Application Example 2)

[0959] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0960] In recent years, it has become common practice for book information systems to display uniform information without considering the user's emotions. As a result, users are often provided with book information that does not match their emotions, and there is a need to improve the user experience. In particular, if it becomes possible to provide personalized information that corresponds to the user's emotional state, it is expected that user satisfaction will increase and the desire to purchase books will be stimulated. However, current systems lack the means to achieve this, and therefore, effective book information provision is not possible.

[0961] 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.

[0962] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for recognizing the user's emotions in real time and obtaining the recognized emotion information, means for sending data containing the recognized emotion information to the server and requesting the generation of supplementary information based on the emotion information, and means for returning the generated book information to the user's terminal. This makes it possible to provide personalized book information that is appropriate to the user's emotions.

[0963] Definitions of important words

[0964] "Book information" refers to various data related to a book, such as the book's title, author, synopsis, and tags.

[0965] "Terminal" refers to a device used by a user to search for book information, and includes smartphones, tablets, and personal computers.

[0966] A "database" refers to a collection of information that stores basic information about a book, and it can be accessed through queries.

[0967] "Basic information" refers to fundamental data stored in the database, such as the book's title, author, and basic synopsis.

[0968] "Generative artificial intelligence" refers to artificial intelligence that generates new information or text based on input data.

[0969] "Supplementary information" refers to detailed summaries, related tags, and other information generated by generative artificial intelligence to complement the basic information.

[0970] "SEO effect" refers to the phenomenon where information about a particular book appears higher in search results due to search engine optimization.

[0971] An "emotion engine" refers to technology or software that recognizes a user's emotions from facial expressions, voice, and other sources.

[0972] "Emotional information" refers to data about the user's emotions as recognized by the emotion engine.

[0973] A "request" refers to the act of requesting specific information or services, and in this context, it means a request aimed at obtaining book information or supplementary information.

[0974] "Integration" refers to the act of combining multiple pieces of information into one; in this context, it means combining basic information and supplementary information to create book information.

[0975] A "user" refers to a person who uses this system to search for and retrieve book information.

[0976] Modes for carrying out the invention

[0977] This invention relates to a system that personalizes book information to the user's emotions and provides it in real time. The details of the server, terminal, and user processing are described below.

[0978] Server Processing

[0979] The server first receives a book information request sent from the user's terminal. This request includes the book ID and the user's sentiment information as recognized by the sentiment engine. Based on the book ID, the server retrieves basic information about the book from the database. This basic information includes the book's title, author, and a brief synopsis.

[0980] Next, the server requests the generative artificial intelligence (AI) to generate supplementary information using the basic information and emotional information. This request is made via the AI's API. The AI ​​combines the basic information with the emotional information to generate supplementary information such as a detailed synopsis and related tags. The generated supplementary information is then sent back to the server.

[0981] The server integrates the returned supplementary information with the basic information to generate book information with enhanced SEO effectiveness. The generated book information reflects content that resonates with the user's emotions. Finally, this integrated book information is sent back to the terminal.

[0982] Terminal processing

[0983] The terminal first sends a book information request to the server when the user enters the book ID and clicks the "Search" button. At this time, the terminal's emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional information. The emotion engine uses facial recognition and voice analysis technologies.

[0984] The acquired emotion information and book ID are sent together to the server. Once the server returns the integrated book information, the terminal displays that information to the user. The displayed book information includes content that matches the user's emotions, improving the user experience.

[0985] Hardware and software to be used

[0986] The hardware used includes smartphones, tablets, and personal computers. The emotion engine implementation utilizes facial recognition and voice analysis software. For example, the EmotionEngine library is used as the emotion engine. On the server side, an SQL database is used, and the AIGenerator module is utilized for generative artificial intelligence. The requests library is used for API requests.

[0987] Specific example

[0988] The user enters book ID "1" and clicks the "Search" button. The emotion engine recognizes the user's emotion of "joy." The terminal sends the book ID and emotion information of "joy" to the server. The server retrieves the following basic information from the database:

[0989] Title: "Sample book"

[0990] Author: "Sample Author"

[0991] Brief summary: "This is a sample book."

[0992] This basic information and the emotion information of "joy" are sent to the generative artificial intelligence system, which then generates the following supplementary information:

[0993] Tags: ["fun", "adventure"]

[0994] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[0995] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[0996] Example of a prompt

[0997] "book_id = '1'

[0998] display_book_info(book_id)"

[0999] Entering this prompt will execute the process that occurs when the user searches for "Book ID: 1".

[1000] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1001] Program processing steps

[1002] Step 1:

[1003] The user enters the book ID using their device and clicks the search button.

[1004] Specific action: The user enters "Book ID: 1" into the input form on their smartphone or tablet and presses the "Search" button.

[1005] Input: Book ID

[1006] Output: The book ID is recognized by the device.

[1007] Step 2:

[1008] The device's emotion engine analyzes the user's facial expressions and voice to obtain emotional information.

[1009] Specific operation: EmotionEngine, which performs facial recognition and voice analysis, is launched and recognizes emotions in real time while the user is inputting. For example, it detects the emotion of "joy" from facial expressions.

[1010] Input: User's facial expressions and voice data

[1011] Output: Recognized emotion information (e.g., "joy")

[1012] Step 3:

[1013] The device sends the book ID and sentiment information to the server.

[1014] Specific operation: The device combines the book ID and recognized emotion information into a single packet and sends it to the server.

[1015] Input: Book ID, sentiment information

[1016] Output: Request data received by the server

[1017] Step 4:

[1018] The server retrieves basic information from the database.

[1019] Specific operation: The server uses the book ID to query the database and retrieves basic information (title, author, synopsis) for the relevant book.

[1020] Input: Book ID

[1021] Output: Basic information (title, author, basic synopsis)

[1022] Step 5:

[1023] The server sends basic information and emotional information to a generative artificial intelligence system and requests the generation of supplementary information.

[1024] Specific operation: The server sends basic information and emotional information to the API of a generative artificial intelligence system and requests that it generate supplementary information in a format appropriate to the emotions.

[1025] Input: Basic information, emotional information

[1026] Output: Supplementary information generated by a generative artificial intelligence.

[1027] Step 6:

[1028] The server receives supplementary information returned by the generative artificial intelligence and integrates it with the basic information.

[1029] Specific operation: Receive supplementary information returned from the generative artificial intelligence and integrate the basic information and supplementary information into a single dataset.

[1030] Input: Supplementary information, basic information

[1031] Output: Integrated book information (book information with enhanced SEO effectiveness)

[1032] Step 7:

[1033] The server sends the integrated book information back to the terminal.

[1034] Specific operation: The server sends the integrated book information to the terminal, making it accessible to the user.

[1035] Input: Integrated book information

[1036] Output: Integrated book information received by the device

[1037] Step 8:

[1038] The device displays integrated book information to the user.

[1039] Specific operation: The device analyzes the received data and displays the book's title, author, synopsis, tags, etc., on the screen.

[1040] Input: Integrated book information

[1041] Output: Personalized book information displayed on the screen

[1042] 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.

[1043] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1044] 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.

[1045] [Third Embodiment]

[1046] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1047] 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.

[1048] 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).

[1049] 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.

[1050] 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.

[1051] 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).

[1052] 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.

[1053] 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.

[1054] 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.

[1055] 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.

[1056] 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.

[1057] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[1058] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. The details of the processing by each entity (user, server, terminal) are shown below.

[1059] 1. Request for book information

[1060] A user requests book information.

[1061] The user uses their device to enter a specific book ID and requests book information. This request is sent from the user's device to the server.

[1062] 2. Obtaining basic information

[1063] The server retrieves basic information from the database.

[1064] After receiving a request from a user, the server sends a query to the database to retrieve basic information about the book. This basic information includes the book's title, author, and any existing brief synopsis.

[1065] 3. Request to generate supplementary information

[1066] The server requests supplementary information from the generative artificial intelligence.

[1067] Based on the acquired basic information, the server requests the generative artificial intelligence (AI) to generate supplementary information. The server formats the basic information and sends it to the AI ​​service's API. Specifically, it sends a request that includes information such as the book title, author, and existing brief synopsis.

[1068] 4. Generation and reception of supplementary information

[1069] Generative artificial intelligence generates supplementary information.

[1070] Generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the basic information it receives. This supplementary information is then sent back to the server as the AI's output.

[1071] 5. Integration of book information

[1072] The server integrates supplementary information.

[1073] The server uses the received supplementary information to combine it with the basic information and generate complete book information. This book information includes a detailed synopsis and tags to enhance SEO effectiveness.

[1074] 6. Return of book information

[1075] The server sends book information back to the user's terminal.

[1076] The final generated book information is sent from the server to the user's terminal. The user then uses their terminal to verify the integrated book information.

[1077] Specific example

[1078] For example, the details of a case where a user enters "Book ID: 1" and requests book information are shown below.

[1079] User request

[1080] The user enters "Book ID: 1" on their device and clicks the "Search" button.

[1081] Obtaining basic information

[1082] The server queries the database with "Book ID: 1" and retrieves the following basic information:

[1083] Title: "Sample book"

[1084] Author: "Sample Author"

[1085] Brief summary: "This is a sample book."

[1086] Request to generate supplementary information

[1087] The server sends the acquired basic information to the AI ​​service and requests the generation of supplementary information.

[1088] Generation and reception of supplementary information

[1089] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[1090] Tags: ["Fantasy", "Adventure"]

[1091] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1092] Integration of book information

[1093] The server integrates basic and supplementary information to generate the following final book information:

[1094] Title: "Sample book"

[1095] Author: "Sample Author"

[1096] Brief summary: "This is a sample book."

[1097] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1098] Tags: ["Fantasy", "Adventure"]

[1099] Return to the user's device

[1100] The server sends the integrated book information back to the user's terminal, and the user can then view this information.

[1101] This process allows users to quickly obtain detailed and SEO-friendly book information.

[1102] The following describes the processing flow.

[1103] Step 1:

[1104] To request book information, the user uses their device to enter a specific book ID and clicks the "Search" button.

[1105] Step 2:

[1106] The terminal sends the book ID entered by the user to the server.

[1107] Step 3:

[1108] The server receives the book ID and generates and sends a query to the database to retrieve the corresponding book information.

[1109] Step 4:

[1110] The server retrieves basic book information (title, author, basic synopsis) from the database.

[1111] Step 5:

[1112] The server formats the basic information it has acquired and creates an API request to request the generative artificial intelligence (AI) to generate supplementary information.

[1113] Step 6:

[1114] The server sends a POST request to the generative AI's API endpoint.

[1115] Step 7:

[1116] The generative AI receives a request from the server and generates supplementary information (detailed synopsis, relevant tags) based on the basic information.

[1117] Step 8:

[1118] The generative AI generates supplementary information which is then returned to the server in JSON format.

[1119] Step 9:

[1120] The server integrates the supplementary information it receives with the basic information to generate book information that enhances SEO effectiveness.

[1121] Step 10:

[1122] The server sends the final, integrated book information back to the user's terminal.

[1123] Step 11:

[1124] The terminal displays book information received from the server to the user.

[1125] Step 12:

[1126] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[1127] (Example 1)

[1128] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1129] Modern book information systems are required to provide users with detailed and relevant information about the books they search for quickly and effectively. However, existing systems only provide basic information, and do not adequately provide detailed summaries or information that takes SEO into consideration. As a result, there is a problem of decreased user satisfaction with the search experience and the usefulness of the information.

[1130] 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.

[1131] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible for users to quickly obtain detailed book information with high SEO effectiveness.

[1132] "Book information" refers to a set of data related to a book, including information such as the title, author, brief synopsis, detailed synopsis, and related tags.

[1133] "User" refers to anyone who uses this system to obtain book information.

[1134] A "terminal" is an electronic device used by a user to operate this system, and specifically includes smartphones, tablets, and personal computers.

[1135] A "server" is a central computer that handles the processing of the entire system, and its role is to access databases, communicate with generative artificial intelligence, and integrate and return the generated information.

[1136] A "database" is an electronic information system used to store and manage basic information about books.

[1137] "Basic information" refers to initial information obtained from the database, such as the book's title, author, and existing brief synopsis.

[1138] "Generative artificial intelligence" refers to an artificial intelligence system that uses machine learning techniques to generate supplementary information based on given basic information.

[1139] "Supplementary information" refers to additional information such as detailed summaries and related tags that generative artificial intelligence generates based on basic information.

[1140] "SEO effect" is an abbreviation for Search Engine Optimization, and refers to various techniques and methods used to improve the search ranking of information on the internet.

[1141] A "prompt sentence" refers to a specific sentence used to input instructions or information to a generative artificial intelligence (AI), which then generates supplementary information based on this prompt.

[1142] This invention relates to a system in which users request book information, and a server and generative artificial intelligence are used to provide detailed book information with high SEO effectiveness. The method of implementing this system, along with the hardware and software used, will be described in detail.

[1143] First, users request book information using their own devices. These devices can include PCs, smartphones, and tablets. Users enter the book ID using a browser or dedicated application on these devices and submit the request. This request is sent to the server as an HTTP request.

[1144] The server parses the received HTTP request and obtains the book ID. During this process, the server sends a query to the database to retrieve basic information. Relational databases such as MySQL or PostgreSQL can be used as the database. The retrieved basic information includes the book title, author, and existing brief synopsis.

[1145] Next, the server requests the generative artificial intelligence to generate supplementary information based on the acquired basic information. Specifically, the server formats the basic information into JSON format and sends an HTTP POST request to the generative AI model's API. For example, OpenAI's GPT-3 can be used as this generative AI model.

[1146] Generative artificial intelligence analyzes the received information and generates supplementary information such as detailed summaries and relevant tags. The generated supplementary information is sent back from the AI ​​model to the server. The returned information is received again by the server and integrated with the basic information. This process generates book information with enhanced SEO effectiveness.

[1147] Finally, the generated book information is sent back from the server to the user's device. This allows the user to view detailed and SEO-friendly book information on their device.

[1148] Specific example

[1149] For example, the details of a user requesting book information by entering "Book ID: 1" are shown below.

[1150] The user enters "Book ID: 1" on their device and clicks the "Search" button. An HTTP request is sent to the server.

[1151] The server queries the database to retrieve basic information:

[1152] Title: "Sample book"

[1153] Author: "Sample Author"

[1154] Brief summary: "This is a sample book."

[1155] The server sends a request to the generated AI model that includes the following prompt:

[1156] Title: "Sample book"

[1157] Author: "Sample Author"

[1158] Brief summary: "This is a sample book."

[1159] Please use this as a basis to generate a detailed synopsis and related tags.

[1160] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[1161] Tags: ["Fantasy", "Adventure"]

[1162] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1163] The server integrates the basic and supplementary information to generate the following final book information:

[1164] Title: "Sample book"

[1165] Author: "Sample Author"

[1166] Brief summary: "This is a sample book."

[1167] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1168] Tags: ["Fantasy", "Adventure"]

[1169] The server then sends the final generated book information back to the user's device. The user can then view the integrated book information using a browser or a dedicated application.

[1170] In this way, users can access detailed and meaningful book information quickly through a variety of devices.

[1171] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1172] Step 1:

[1173] A user requests book information.

[1174] The user enters the book ID using a browser or a dedicated application. For example, the user enters "Book ID: 1" and clicks the "Search" button. The data entered is the book ID, and the request sent is in the form of an HTTP request. The device sends this request to the server.

[1175] Step 2:

[1176] The server receives the book ID.

[1177] The server receives an HTTP request and extracts the book ID. The input is the HTTP request, and the output is the book ID. The server then prepares to send a query to the database based on this book ID.

[1178] Step 3:

[1179] The server retrieves basic information from the database.

[1180] The server queries the database based on the book ID. It sends a query statement (for example, "SELECT FROM books WHERE id = 1"), and the database returns basic information as a response. This basic information includes the book title, author, and existing brief synopsis. The input is the book ID, and the output is the basic information. The server retains this basic information.

[1181] Step 4:

[1182] The server requests the AI ​​model to generate supplementary information.

[1183] The server formats the basic information into JSON format and sends a request to the API for generating AI models. The input is basic information, and an example of a prompt is as follows:

[1184] Title: "Sample book"

[1185] Author: "Sample Author"

[1186] Brief summary: "This is a sample book."

[1187] Please use this as a basis to generate a detailed synopsis and related tags.

[1188] The output will request the generated AI model to generate supplementary information.

[1189] Step 5:

[1190] The generative artificial intelligence generates supplementary information and sends it back to the server.

[1191] The generative AI model receives basic information and generates a detailed synopsis and related tags. The input is a prompt, and the output is the following supplementary information:

[1192] Tags: ["Fantasy", "Adventure"]

[1193] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1194] The generative AI model sends supplementary information back to the server.

[1195] Step 6:

[1196] The server integrates basic and supplementary information.

[1197] The server integrates the received supplementary and basic information. The input consists of basic and supplementary information, and the output is the integrated book information. Specifically, the data processing involves adding a detailed synopsis and tags to the basic information (title, author, brief synopsis). The following final book information is generated:

[1198] Title: "Sample book"

[1199] Author: "Sample Author"

[1200] Brief summary: "This is a sample book."

[1201] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1202] Tags: ["Fantasy", "Adventure"]

[1203] Step 7:

[1204] The server sends the integrated book information back to the user's terminal.

[1205] The server sends the integrated book information, encoded in JSON format, back to the user's device as an HTTP response. The input is the integrated book information, and the output is the HTTP response. The user's device receives this information and displays it in a browser or application. The user can then view detailed and SEO-friendly book information.

[1206] (Application Example 1)

[1207] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1208] Conventional book information systems only display basic book information, requiring users to conduct further research to obtain detailed information, which is time-consuming. Furthermore, they often fail to provide information efficiently from an SEO perspective. This invention aims to solve these problems and provide users with detailed book information that enhances SEO effectiveness, quickly and efficiently.

[1209] 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.

[1210] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for returning the generated book information to the user's terminal, and means for providing the generated book information in response to the user's search request. This makes it possible for users to quickly obtain detailed and SEO-effective book information.

[1211] "Book information" refers to information about a book, such as its title, author, synopsis, and ISBN.

[1212] "User's device" refers to electronic devices such as smartphones, tablets, and PCs that users use to obtain information via the internet.

[1213] A "database" refers to a storage system that stores basic information about books and provides that information in response to queries.

[1214] "Basic information" refers to information that makes up the book's overview, such as the book's title, author, and a brief synopsis.

[1215] "Generative artificial intelligence" refers to an artificial intelligence system that generates new information based on input data.

[1216] "Supplementary information" refers to information such as detailed summaries, related tags, and keywords generated by generative artificial intelligence.

[1217] "Integration" refers to combining basic information and supplementary information to create a single, complete book.

[1218] "SEO effect" refers to the effect of search engine optimization (SEO) on web pages to achieve higher rankings in search engine results pages.

[1219] A "search request" refers to the book selections or queries that users enter to retrieve book information.

[1220] "Return" refers to the process of sending book information generated by the server to the user's device.

[1221] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. This system consists of a server, a user terminal, a database, and a generative AI model.

[1222] Program processing

[1223] Hardware and software usage

[1224] Hardware: Servers (cloud servers, etc.), user terminals (smartphones, tablets, PCs)

[1225] Software: REST API, Generative AI Models, Database Management Systems

[1226] Examples of generative AI models: OpenAI GPT-3, Google Cloud AI

[1227] Database examples: PostgreSQL, MySQL

[1228] Data processing and calculation

[1229] 1. Receiving book information:

[1230] The user requests book information from their device. The device has a search field where the user can enter the book title, author name, ISBN, etc. This entered information is sent to the server.

[1231] 2. Obtaining basic information:

[1232] The server sends queries to the database based on the book information submitted by the user to retrieve basic information. This basic information includes the book's title, author, and any existing brief synopsis.

[1233] 3. Request for generation of supplementary information:

[1234] The server sends the acquired basic information to the generating AI model and requests the generation of supplementary information such as a detailed synopsis and related tags. The generating AI model generates the supplementary information based on the information sent from the server.

[1235] 4. Generating supplementary information:

[1236] The generative AI model generates a detailed synopsis and related tags from the received basic information and sends them back to the server. An example of a prompt message is: "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'"

[1237] 5. Integration of book information:

[1238] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database to generate book information with enhanced SEO effectiveness. This book information also includes a detailed synopsis and related tags.

[1239] 6. Return of book information:

[1240] The server returns the generated book information to the user's terminal. The user can then view this information.

[1241] Specific example

[1242] For example, if a user enters "Book ID: 1" and requests book information, the server retrieves the following basic information from the database.

[1243] Title: "Sample book"

[1244] Author: "Sample Author"

[1245] Brief summary: "This is a sample book."

[1246] The server sends this basic information to the generating AI model and requests the generation of supplementary information. The generating AI model generates the following supplementary information and sends it back to the server.

[1247] Tags: ["Fantasy", "Adventure"]

[1248] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1249] The server integrates basic and supplementary information to generate the final book information. The following book information will be displayed on the user's terminal.

[1250] Title: "Sample book"

[1251] Author: "Sample Author"

[1252] Brief summary: "This is a sample book."

[1253] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1254] Tags: ["Fantasy", "Adventure"]

[1255] This allows users to quickly obtain detailed and SEO-friendly book information.

[1256] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1257] Step 1:

[1258] A user requests book information. The user enters the book title, author name, or ISBN into the search field on their device and presses the search button. This action is sent to the server as input information. The server receives this request and proceeds to the next step.

[1259] Step 2:

[1260] The server sends a query to the database to retrieve basic information. The response from the database includes the book title, author, and existing synopsis. The input here is the book information obtained in step 1, and the output is the basic information obtained from the database.

[1261] Step 3:

[1262] The server requests the generative AI model to generate supplementary information based on the acquired basic information. This basic information includes the title, author name, and a brief synopsis. The server sends this information to the generative AI model, requesting the generation of a detailed synopsis and related tags. The input is the basic information, and the output is the request to the generative AI model.

[1263] Step 4:

[1264] The generative AI model generates supplementary information based on the basic information it receives. Specifically, it generates a detailed synopsis and related tags. The input for this process is the basic information sent from the server, and the output is the generated supplementary information.

[1265] Step 5:

[1266] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database. The server combines both sets of data to generate the final book information. The input here is supplementary and basic information, and the output is the integrated, detailed book information.

[1267] Step 6:

[1268] The server returns the generated book information to the user's terminal. The user can then view the integrated book information on their terminal. In this case, the input is the integrated book information, and the output is the transmission of data to the user's terminal.

[1269] As a concrete example, when a user enters book ID "1" and searches, the server retrieves "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'" from the database and sends it to the generating AI model. The generating AI model then generates "Detailed Synopsis: 'This is an epic adventure story set in a fantastical world.', Tags: ['Fantasy', 'Adventure']" and sends it back to the server. The server integrates this information and sends the final book information back to the user's device.

[1270] 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.

[1271] This invention aims to provide book information that is more relevant to the user by combining a system that provides book information with enhanced SEO effectiveness with an emotion engine that recognizes the user's emotions. The details of the processing by each entity (server, terminal, user) are shown below.

[1272] 1. Requesting book information and obtaining sentiment information.

[1273] A user requests book information.

[1274] The user enters a specific book ID using their device and clicks the "Search" button. At this time, the device has an emotion engine built in, which acquires emotional information in real time from the user's facial expressions and voice.

[1275] The device analyzes emotional information.

[1276] When a user requests book information, the emotion engine on the device analyzes the user's emotions (e.g., joy, sadness, excitement, etc.) and prepares to send the emotion data to the server.

[1277] 2. Acquisition of basic information and transmission of emotional information

[1278] The device sends the book ID and sentiment information to the server.

[1279] The terminal sends the book ID entered by the user and the emotion information obtained from the emotion engine to the server.

[1280] The server retrieves basic information from the database.

[1281] The server receives the book ID from the terminal and sends a query to the database to retrieve basic information about the corresponding book. This basic information includes the book's title, author, and a brief synopsis.

[1282] 3. Requests for generating supplementary information and the use of sentiment information

[1283] The server requests supplementary information from the generative artificial intelligence.

[1284] The server uses the acquired basic information, along with the emotional information transmitted from the terminal, to request the generative artificial intelligence (AI) to generate supplementary information. It then sends data containing both basic and emotional information to the AI ​​service's API.

[1285] Generative artificial intelligence generates supplementary information.

[1286] The generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the received basic and emotional information. The generated supplementary information is then sent back to the server.

[1287] 4. Integration of book information and return to users

[1288] The server integrates supplementary information.

[1289] The server integrates supplementary information returned from the generative artificial intelligence with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is appropriate for the user's emotions.

[1290] The server sends the integrated book information to the terminal.

[1291] The final, integrated book information is sent from the server to the terminal.

[1292] 5. Displaying book information to the user

[1293] The device displays book information to the user.

[1294] The terminal displays integrated book information received from the server to the user. Users can browse book information that is optimized for SEO and suits their own interests.

[1295] Specific example

[1296] For example, the following details describe a case where a user enters "Book ID: 1" to request book information, and simultaneously recognizes the emotion "Joy":

[1297] User request

[1298] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[1299] Acquisition of emotional information and basic book information

[1300] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[1301] Title: "Sample book"

[1302] Author: "Sample Author"

[1303] Brief summary: "This is a sample book."

[1304] Request to generate supplementary information

[1305] The server sends basic information and emotional information related to "joy" to the generative artificial intelligence.

[1306] Generation and reception of supplementary information

[1307] The generative artificial intelligence generates the following supplementary information appropriate for the emotion of "joy" and sends it back to the server:

[1308] Tags: ["fun", "adventure"]

[1309] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1310] Integration and display of book information

[1311] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[1312] This process allows users to quickly obtain more comprehensive book information that aligns with their own emotional needs.

[1313] The following describes the processing flow.

[1314] Step 1:

[1315] To request book information, the user enters a specific book ID using the device and clicks the "Search" button. The device incorporates an emotion engine that acquires emotional information in real time from the user's facial expressions and voice.

[1316] Step 2:

[1317] The emotion engine analyzes the user's emotions and generates emotion data (e.g., joy, sadness, excitement). This emotion data is sent from the terminal to the server along with the book request information.

[1318] Step 3:

[1319] The device sends a request to the server that includes the book ID and sentiment data.

[1320] Step 4:

[1321] The server receives the book ID and sentiment data, and generates a query to retrieve the corresponding book information from the database.

[1322] Step 5:

[1323] The server retrieves basic book information (title, author, basic synopsis) from the database.

[1324] Step 6:

[1325] The server combines basic information and emotional data acquired by the server and creates an API request to send to the generative artificial intelligence.

[1326] Step 7:

[1327] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[1328] Step 8:

[1329] The generative artificial intelligence receives a request from the server and generates supplementary information (detailed synopsis and related tags) based on basic information and emotional data.

[1330] Step 9:

[1331] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[1332] Step 10:

[1333] The server integrates the received supplementary information with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is relevant to the user's emotions.

[1334] Step 11:

[1335] The server sends the integrated book information to the user's terminal.

[1336] Step 12:

[1337] The terminal displays book information received from the server to the user.

[1338] Step 13:

[1339] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[1340] Details of specific examples

[1341] Step 1:

[1342] The user enters "Book ID: 1" on their device and clicks the "Search" button. At this point, the emotion engine recognizes the emotion of "joy" from the user's facial expression.

[1343] Step 2:

[1344] The emotion engine generates emotional data, specifically "joy," and packages this data along with the request information.

[1345] Step 3:

[1346] The device sends a request to the server containing "Book ID: 1" and emotion data for "Joy".

[1347] Step 4:

[1348] The server receives the request and sends a query to the database with "Book ID: 1".

[1349] Step 5:

[1350] The server retrieves the following basic information from the database:

[1351] Title: "Sample book"

[1352] Author: "Sample Author"

[1353] Brief summary: "This is a sample book."

[1354] Step 6:

[1355] The server combines basic information and "joy" emotion data to create an API request to send to the generative artificial intelligence.

[1356] Step 7:

[1357] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[1358] Step 8:

[1359] The generative artificial intelligence generates the following supplementary information based on basic information and emotional data:

[1360] Tags: ["fun", "adventure"]

[1361] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1362] Step 9:

[1363] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[1364] Step 10:

[1365] The server integrates the basic and supplementary information to generate the following final book information:

[1366] Title: "Sample book"

[1367] Author: "Sample Author"

[1368] Brief summary: "This is a sample book."

[1369] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1370] Tags: ["fun", "adventure"]

[1371] Step 11:

[1372] The server sends the integrated book information to the terminal.

[1373] Step 12:

[1374] The device receives integrated book information and displays it to the user.

[1375] Step 13:

[1376] Users can view detailed and SEO-friendly book information on their devices and find content that resonates with their emotions.

[1377] (Example 2)

[1378] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1379] Conventional book information systems failed to consider the user's emotional state, making it impossible to present the most suitable content. Furthermore, even with the use of generative artificial intelligence, emotional information could not be reflected, resulting in limited SEO effectiveness. Additionally, the lack of means to analyze emotions made it difficult to improve the user experience.

[1380] 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.

[1381] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for obtaining the user's emotional information using an emotion engine installed in the terminal and analyzing the emotional information, means for requesting supplementary information from a generative artificial intelligence based on the analyzed emotional information and basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible to provide optimal book information tailored to the user's emotions and improve SEO effectiveness.

[1382] "Book information" refers to data that includes basic and supplementary information about a book.

[1383] "User's device" refers to electronic devices such as computers, smartphones, and tablets that users use to search for and view book information.

[1384] An "emotion engine" is a combination of software and hardware that analyzes the user's facial expressions and voice to detect their emotional state.

[1385] "Basic information" refers to static data such as the book's title, author, and basic synopsis.

[1386] "Supplementary information" refers to additional data such as detailed summaries and related tags that generative artificial intelligence generates based on basic information and emotional information.

[1387] "Generative artificial intelligence" is a type of artificial intelligence that performs natural language processing, and it is a technology that generates new text and data based on a given prompt.

[1388] "SEO effect" refers to the effect of search engine optimization, meaning technical improvements that make web pages rank higher in search engine results.

[1389] A "database management system" is software used to build, manage, and operate databases, and is a technology that enables efficient storage, retrieval, and retrieval of data.

[1390] "Analysis" is the act of extracting data and deciphering its meaning and patterns.

[1391] A "book ID" is an identifier used to uniquely identify a book.

[1392] "API" stands for Application Programming Interface, and it is an interface for exchanging data and functions between different software programs.

[1393] This invention is a system that enhances SEO effectiveness by providing book information and delivers optimal book information to users. This system has the feature of analyzing users' emotions and generating supplementary information using generative artificial intelligence.

[1394] Server roles and functions

[1395] The server first receives a request from the user's terminal that includes the book ID. Based on the received book ID, the server sends a query to a database management system (e.g., MySQL or PostgreSQL) to retrieve basic information about the book (title, author, and a brief synopsis).

[1396] Next, the emotional information and basic information sent from the terminal are combined to create a prompt message and send a request to a generative artificial intelligence API (for example, a natural language processing engine). Based on this prompt message, the generative artificial intelligence generates supplementary information such as a detailed synopsis and related tags, and sends it back to the server.

[1397] Finally, the server integrates the generated supplementary and basic information and formats it into book information with enhanced SEO effectiveness. This final book information is then sent back to the user's device.

[1398] Terminal roles and functions

[1399] The terminal provides an interface for requesting book information. When a user enters a specific book ID and clicks the "Search" button, the terminal uses its built-in emotion engine to obtain the user's emotional information. The emotion engine uses the camera and microphone to analyze facial expressions and voice, and generates emotional data. This emotional data and the book ID are sent to the server.

[1400] User operation

[1401] Users can obtain book information that reflects emotional information simply by entering the book ID into the terminal interface and clicking the "Search" button. For example, if "Book ID: 1" is entered and the emotion engine detects "joy," a request containing the emotional information "joy" is sent to the server. Based on this information, the server uses a generative artificial intelligence to create a prompt message and obtain detailed information.

[1402] Specific example

[1403] For example, if a user enters "Book ID: 1" to request book information and simultaneously recognizes the emotion "Joy," the following will occur:

[1404] 1. User Request

[1405] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[1406] 2. Acquisition of emotional information and basic book information

[1407] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[1408] Title: "Sample book"

[1409] Author: "Sample Author"

[1410] Brief summary: "This is a sample book."

[1411] 3. Request to generate supplementary information

[1412] The server includes basic information and emotional information about "joy" in the prompt message sent to the generative artificial intelligence. For example, "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'."

[1413] 4. Generation and reception of supplementary information

[1414] Generative artificial intelligence generates supplementary information tailored to the user's emotions, such as "joyful and exciting adventure," and sends it back to the server.

[1415] Tags: ["fun", "adventure"]

[1416] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1417] 5. Integration and display of book information

[1418] The server integrates basic and supplementary information and sends it back to the terminal. The terminal displays the integrated book information to the user. Users can quickly obtain more comprehensive book information that suits their own interests.

[1419] In this way, the present invention provides optimal book information that reflects the emotional state of the user, thereby enhancing SEO effectiveness.

[1420] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1421] Step 1:

[1422] A user requests book information.

[1423] Input: Enter the book ID.

[1424] Operation: The user enters the book ID into the input form on the device and clicks the "Search" button. The device's built-in camera and microphone capture the user's facial expressions and voice, and the emotion engine analyzes this to generate emotion data.

[1425] Output: Book ID and sentiment information (Example: Book ID = "1", Sentiment Information = "joy")

[1426] Step 2:

[1427] The device analyzes emotional information.

[1428] Input: Captured facial expression data and audio data

[1429] Operation: The device's emotion engine analyzes the user's facial expressions and voice, and structures them as emotion data. The emotion data is formatted as "emotion: joy".

[1430] Output: Analyzed sentiment data

[1431] Step 3:

[1432] The device sends the book ID and analyzed sentiment information to the server.

[1433] Input: Book ID, Analyzed sentiment data

[1434] Operation: The device sends the book ID and sentiment data to the server in JSON format.

[1435] Output: Request sent to the server (e.g., {"bookID": "1", "emotion": "joy"})

[1436] Step 4:

[1437] The server retrieves basic information from the database.

[1438] Input: Book ID

[1439] Operation: When the server receives a request, it sends a query based on the book ID to the database management system (e.g., MySQL or PostgreSQL) to retrieve the corresponding basic information. For example, the basic information for "Sample Book" would include the title, author, and a brief synopsis.

[1440] Output: Basic information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book."})

[1441] Step 5:

[1442] The server requests supplementary information from the generative artificial intelligence.

[1443] Input: Basic information, sentiment data

[1444] Operation: The server generates a prompt based on the received basic information and sentiment data, and sends a request to the generative artificial intelligence API. For example, it might generate a prompt such as "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'".

[1445] Output: Prompt request to generative artificial intelligence

[1446] Step 6:

[1447] Generative artificial intelligence generates supplementary information.

[1448] Input: Prompt message

[1449] Operation: The generative AI receives a prompt and generates supplementary information such as a detailed synopsis and tags. If the emotion information is "joy," supplementary information containing positive content will be generated.

[1450] Output: Generated supplementary information (Example: {"tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[1451] Step 7:

[1452] The server integrates supplementary information.

[1453] Input: Basic information, supplementary information

[1454] Operation: The server integrates the generated supplementary information with the basic information and formats it into final book information with enhanced SEO effectiveness. For example, it integrates the basic and supplementary information into an HTML template.

[1455] Output: Integrated book information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book.", "tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[1456] Step 8:

[1457] The server sends the integrated book information to the terminal.

[1458] Input: Integrated book information

[1459] Operation: The server sends integrated book information to the terminal. HTTPS is used for communication.

[1460] Output: Book information returned to the terminal

[1461] Step 9:

[1462] The device displays book information to the user.

[1463] Input: Received book information

[1464] Operation: The terminal renders the received book information in HTML format and displays it to the user. The interface displays the book title, author, detailed synopsis, and related tags.

[1465] Output: Book information displayed to the user

[1466] The above outlines the specific processing steps. This process allows users to quickly obtain more comprehensive book information that matches their own emotional needs.

[1467] (Application Example 2)

[1468] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1469] In recent years, it has become common practice for book information systems to display uniform information without considering the user's emotions. As a result, users are often provided with book information that does not match their emotions, and there is a need to improve the user experience. In particular, if it becomes possible to provide personalized information that corresponds to the user's emotional state, it is expected that user satisfaction will increase and the desire to purchase books will be stimulated. However, current systems lack the means to achieve this, and therefore, effective book information provision is not possible.

[1470] 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.

[1471] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for recognizing the user's emotions in real time and obtaining the recognized emotion information, means for sending data containing the recognized emotion information to the server and requesting the generation of supplementary information based on the emotion information, and means for returning the generated book information to the user's terminal. This makes it possible to provide personalized book information that is appropriate to the user's emotions.

[1472] Definitions of important words

[1473] "Book information" refers to various data related to a book, such as the book's title, author, synopsis, and tags.

[1474] "Terminal" refers to a device used by a user to search for book information, and includes smartphones, tablets, and personal computers.

[1475] A "database" refers to a collection of information that stores basic information about a book, and it can be accessed through queries.

[1476] "Basic information" refers to fundamental data stored in the database, such as the book's title, author, and basic synopsis.

[1477] "Generative artificial intelligence" refers to artificial intelligence that generates new information or text based on input data.

[1478] "Supplementary information" refers to detailed summaries, related tags, and other information generated by generative artificial intelligence to complement the basic information.

[1479] "SEO effect" refers to the phenomenon where information about a particular book appears higher in search results due to search engine optimization.

[1480] An "emotion engine" refers to technology or software that recognizes a user's emotions from facial expressions, voice, and other sources.

[1481] "Emotional information" refers to data about the user's emotions as recognized by the emotion engine.

[1482] A "request" refers to the act of requesting specific information or services, and in this context, it means a request aimed at obtaining book information or supplementary information.

[1483] "Integration" refers to the act of combining multiple pieces of information into one; in this context, it means combining basic information and supplementary information to create book information.

[1484] A "user" refers to a person who uses this system to search for and retrieve book information.

[1485] Modes for carrying out the invention

[1486] This invention relates to a system that personalizes book information to the user's emotions and provides it in real time. The details of the server, terminal, and user processing are described below.

[1487] Server Processing

[1488] The server first receives a book information request sent from the user's terminal. This request includes the book ID and the user's sentiment information as recognized by the sentiment engine. Based on the book ID, the server retrieves basic information about the book from the database. This basic information includes the book's title, author, and a brief synopsis.

[1489] Next, the server requests the generative artificial intelligence (AI) to generate supplementary information using the basic information and emotional information. This request is made via the AI's API. The AI ​​combines the basic information with the emotional information to generate supplementary information such as a detailed synopsis and related tags. The generated supplementary information is then sent back to the server.

[1490] The server integrates the returned supplementary information with the basic information to generate book information with enhanced SEO effectiveness. The generated book information reflects content that resonates with the user's emotions. Finally, this integrated book information is sent back to the terminal.

[1491] Terminal processing

[1492] The terminal first sends a book information request to the server when the user enters the book ID and clicks the "Search" button. At this time, the terminal's emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional information. The emotion engine uses facial recognition and voice analysis technologies.

[1493] The acquired emotion information and book ID are sent together to the server. Once the server returns the integrated book information, the terminal displays that information to the user. The displayed book information includes content that matches the user's emotions, improving the user experience.

[1494] Hardware and software to be used

[1495] The hardware used includes smartphones, tablets, and personal computers. The emotion engine implementation utilizes facial recognition and voice analysis software. For example, the EmotionEngine library is used as the emotion engine. On the server side, an SQL database is used, and the AIGenerator module is utilized for generative artificial intelligence. The requests library is used for API requests.

[1496] Specific example

[1497] The user enters book ID "1" and clicks the "Search" button. The emotion engine recognizes the user's emotion of "joy." The terminal sends the book ID and emotion information of "joy" to the server. The server retrieves the following basic information from the database:

[1498] Title: "Sample book"

[1499] Author: "Sample Author"

[1500] Brief summary: "This is a sample book."

[1501] This basic information and the emotion information of "joy" are sent to the generative artificial intelligence system, which then generates the following supplementary information:

[1502] Tags: ["fun", "adventure"]

[1503] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1504] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[1505] Example of a prompt

[1506] "book_id = '1'

[1507] display_book_info(book_id)"

[1508] Entering this prompt will execute the process that occurs when the user searches for "Book ID: 1".

[1509] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1510] Program processing steps

[1511] Step 1:

[1512] The user enters the book ID using their device and clicks the search button.

[1513] Specific action: The user enters "Book ID: 1" into the input form on their smartphone or tablet and presses the "Search" button.

[1514] Input: Book ID

[1515] Output: The book ID is recognized by the device.

[1516] Step 2:

[1517] The device's emotion engine analyzes the user's facial expressions and voice to obtain emotional information.

[1518] Specific operation: EmotionEngine, which performs facial recognition and voice analysis, is launched and recognizes emotions in real time while the user is inputting. For example, it detects the emotion of "joy" from facial expressions.

[1519] Input: User's facial expressions and voice data

[1520] Output: Recognized emotion information (e.g., "joy")

[1521] Step 3:

[1522] The device sends the book ID and sentiment information to the server.

[1523] Specific operation: The device combines the book ID and recognized emotion information into a single packet and sends it to the server.

[1524] Input: Book ID, sentiment information

[1525] Output: Request data received by the server

[1526] Step 4:

[1527] The server retrieves basic information from the database.

[1528] Specific operation: The server uses the book ID to query the database and retrieves basic information (title, author, synopsis) for the relevant book.

[1529] Input: Book ID

[1530] Output: Basic information (title, author, basic synopsis)

[1531] Step 5:

[1532] The server sends basic information and emotional information to a generative artificial intelligence system and requests the generation of supplementary information.

[1533] Specific operation: The server sends basic information and emotional information to the API of a generative artificial intelligence system and requests that it generate supplementary information in a format appropriate to the emotions.

[1534] Input: Basic information, emotional information

[1535] Output: Supplementary information generated by a generative artificial intelligence.

[1536] Step 6:

[1537] The server receives supplementary information returned by the generative artificial intelligence and integrates it with the basic information.

[1538] Specific operation: Receive supplementary information returned from the generative artificial intelligence and integrate the basic information and supplementary information into a single dataset.

[1539] Input: Supplementary information, basic information

[1540] Output: Integrated book information (book information with enhanced SEO effectiveness)

[1541] Step 7:

[1542] The server sends the integrated book information back to the terminal.

[1543] Specific operation: The server sends the integrated book information to the terminal, making it accessible to the user.

[1544] Input: Integrated book information

[1545] Output: Integrated book information received by the device

[1546] Step 8:

[1547] The device displays integrated book information to the user.

[1548] Specific operation: The device analyzes the received data and displays the book's title, author, synopsis, tags, etc., on the screen.

[1549] Input: Integrated book information

[1550] Output: Personalized book information displayed on the screen

[1551] 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.

[1552] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1553] 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.

[1554] [Fourth Embodiment]

[1555] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1556] 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.

[1557] 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).

[1558] 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.

[1559] 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.

[1560] 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).

[1561] 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.

[1562] 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.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] 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.

[1567] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1568] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. The details of the processing by each entity (user, server, terminal) are shown below.

[1569] 1. Request for book information

[1570] A user requests book information.

[1571] The user uses their device to enter a specific book ID and requests book information. This request is sent from the user's device to the server.

[1572] 2. Obtaining basic information

[1573] The server retrieves basic information from the database.

[1574] After receiving a request from a user, the server sends a query to the database to retrieve basic information about the book. This basic information includes the book's title, author, and any existing brief synopsis.

[1575] 3. Request to generate supplementary information

[1576] The server requests supplementary information from the generative artificial intelligence.

[1577] Based on the acquired basic information, the server requests the generative artificial intelligence (AI) to generate supplementary information. The server formats the basic information and sends it to the AI ​​service's API. Specifically, it sends a request that includes information such as the book title, author, and existing brief synopsis.

[1578] 4. Generation and reception of supplementary information

[1579] Generative artificial intelligence generates supplementary information.

[1580] Generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the basic information it receives. This supplementary information is then sent back to the server as the AI's output.

[1581] 5. Integration of book information

[1582] The server integrates supplementary information.

[1583] The server uses the received supplementary information to combine it with the basic information and generate complete book information. This book information includes a detailed synopsis and tags to enhance SEO effectiveness.

[1584] 6. Return of book information

[1585] The server sends book information back to the user's terminal.

[1586] The final generated book information is sent from the server to the user's terminal. The user then uses their terminal to verify the integrated book information.

[1587] Specific example

[1588] For example, the details of a case where a user enters "Book ID: 1" and requests book information are shown below.

[1589] User request

[1590] The user enters "Book ID: 1" on their device and clicks the "Search" button.

[1591] Obtaining basic information

[1592] The server queries the database with "Book ID: 1" and retrieves the following basic information:

[1593] Title: "Sample book"

[1594] Author: "Sample Author"

[1595] Brief summary: "This is a sample book."

[1596] Request to generate supplementary information

[1597] The server sends the acquired basic information to the AI ​​service and requests the generation of supplementary information.

[1598] Generation and reception of supplementary information

[1599] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[1600] Tags: ["Fantasy", "Adventure"]

[1601] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1602] Integration of book information

[1603] The server integrates basic and supplementary information to generate the following final book information:

[1604] Title: "Sample book"

[1605] Author: "Sample Author"

[1606] Brief summary: "This is a sample book."

[1607] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1608] Tags: ["Fantasy", "Adventure"]

[1609] Return to the user's device

[1610] The server sends the integrated book information back to the user's terminal, and the user can then view this information.

[1611] This process allows users to quickly obtain detailed and SEO-friendly book information.

[1612] The following describes the processing flow.

[1613] Step 1:

[1614] To request book information, the user uses their device to enter a specific book ID and clicks the "Search" button.

[1615] Step 2:

[1616] The terminal sends the book ID entered by the user to the server.

[1617] Step 3:

[1618] The server receives the book ID and generates and sends a query to the database to retrieve the corresponding book information.

[1619] Step 4:

[1620] The server retrieves basic book information (title, author, basic synopsis) from the database.

[1621] Step 5:

[1622] The server formats the basic information it has acquired and creates an API request to request the generative artificial intelligence (AI) to generate supplementary information.

[1623] Step 6:

[1624] The server sends a POST request to the generative AI's API endpoint.

[1625] Step 7:

[1626] The generative AI receives a request from the server and generates supplementary information (detailed synopsis, relevant tags) based on the basic information.

[1627] Step 8:

[1628] The generative AI generates supplementary information which is then returned to the server in JSON format.

[1629] Step 9:

[1630] The server integrates the supplementary information it receives with the basic information to generate book information that enhances SEO effectiveness.

[1631] Step 10:

[1632] The server sends the final, integrated book information back to the user's terminal.

[1633] Step 11:

[1634] The terminal displays book information received from the server to the user.

[1635] Step 12:

[1636] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[1637] (Example 1)

[1638] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1639] Modern book information systems are required to provide users with detailed and relevant information about the books they search for quickly and effectively. However, existing systems only provide basic information, and do not adequately provide detailed summaries or information that takes SEO into consideration. As a result, there is a problem of decreased user satisfaction with the search experience and the usefulness of the information.

[1640] 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.

[1641] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible for users to quickly obtain detailed book information with high SEO effectiveness.

[1642] "Book information" refers to a set of data related to a book, including information such as the title, author, brief synopsis, detailed synopsis, and related tags.

[1643] "User" refers to anyone who uses this system to obtain book information.

[1644] A "terminal" is an electronic device used by a user to operate this system, and specifically includes smartphones, tablets, and personal computers.

[1645] A "server" is a central computer that handles the processing of the entire system, and its role is to access databases, communicate with generative artificial intelligence, and integrate and return the generated information.

[1646] A "database" is an electronic information system used to store and manage basic information about books.

[1647] "Basic information" refers to initial information obtained from the database, such as the book's title, author, and existing brief synopsis.

[1648] "Generative artificial intelligence" refers to an artificial intelligence system that uses machine learning techniques to generate supplementary information based on given basic information.

[1649] "Supplementary information" refers to additional information such as detailed summaries and related tags that generative artificial intelligence generates based on basic information.

[1650] "SEO effect" is an abbreviation for Search Engine Optimization, and refers to various techniques and methods used to improve the search ranking of information on the internet.

[1651] A "prompt sentence" refers to a specific sentence used to input instructions or information to a generative artificial intelligence (AI), which then generates supplementary information based on this prompt.

[1652] This invention relates to a system in which users request book information, and a server and generative artificial intelligence are used to provide detailed book information with high SEO effectiveness. The method of implementing this system, along with the hardware and software used, will be described in detail.

[1653] First, users request book information using their own devices. These devices can include PCs, smartphones, and tablets. Users enter the book ID using a browser or dedicated application on these devices and submit the request. This request is sent to the server as an HTTP request.

[1654] The server parses the received HTTP request and obtains the book ID. During this process, the server sends a query to the database to retrieve basic information. Relational databases such as MySQL or PostgreSQL can be used as the database. The retrieved basic information includes the book title, author, and existing brief synopsis.

[1655] Next, the server requests the generative artificial intelligence to generate supplementary information based on the acquired basic information. Specifically, the server formats the basic information into JSON format and sends an HTTP POST request to the generative AI model's API. For example, OpenAI's GPT-3 can be used as this generative AI model.

[1656] Generative artificial intelligence analyzes the received information and generates supplementary information such as detailed summaries and relevant tags. The generated supplementary information is sent back from the AI ​​model to the server. The returned information is received again by the server and integrated with the basic information. This process generates book information with enhanced SEO effectiveness.

[1657] Finally, the generated book information is sent back from the server to the user's device. This allows the user to view detailed and SEO-friendly book information on their device.

[1658] Specific example

[1659] For example, the details of a user requesting book information by entering "Book ID: 1" are shown below.

[1660] The user enters "Book ID: 1" on their device and clicks the "Search" button. An HTTP request is sent to the server.

[1661] The server queries the database to retrieve basic information:

[1662] Title: "Sample book"

[1663] Author: "Sample Author"

[1664] Brief summary: "This is a sample book."

[1665] The server sends a request to the generated AI model that includes the following prompt:

[1666] Title: "Sample book"

[1667] Author: "Sample Author"

[1668] Brief summary: "This is a sample book."

[1669] Please use this as a basis to generate a detailed synopsis and related tags.

[1670] The generative artificial intelligence generates the following supplementary information and sends it back to the server:

[1671] Tags: ["Fantasy", "Adventure"]

[1672] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1673] The server integrates the basic and supplementary information to generate the following final book information:

[1674] Title: "Sample book"

[1675] Author: "Sample Author"

[1676] Brief summary: "This is a sample book."

[1677] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1678] Tags: ["Fantasy", "Adventure"]

[1679] The server then sends the final generated book information back to the user's device. The user can then view the integrated book information using a browser or a dedicated application.

[1680] In this way, users can access detailed and meaningful book information quickly through a variety of devices.

[1681] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1682] Step 1:

[1683] A user requests book information.

[1684] The user enters the book ID using a browser or a dedicated application. For example, the user enters "Book ID: 1" and clicks the "Search" button. The data entered is the book ID, and the request sent is in the form of an HTTP request. The device sends this request to the server.

[1685] Step 2:

[1686] The server receives the book ID.

[1687] The server receives an HTTP request and extracts the book ID. The input is the HTTP request, and the output is the book ID. The server then prepares to send a query to the database based on this book ID.

[1688] Step 3:

[1689] The server retrieves basic information from the database.

[1690] The server queries the database based on the book ID. It sends a query statement (for example, "SELECT FROM books WHERE id = 1"), and the database returns basic information as a response. This basic information includes the book title, author, and existing brief synopsis. The input is the book ID, and the output is the basic information. The server retains this basic information.

[1691] Step 4:

[1692] The server requests the AI ​​model to generate supplementary information.

[1693] The server formats the basic information into JSON format and sends a request to the API for generating AI models. The input is basic information, and an example of a prompt is as follows:

[1694] Title: "Sample book"

[1695] Author: "Sample Author"

[1696] Brief summary: "This is a sample book."

[1697] Please use this as a basis to generate a detailed synopsis and related tags.

[1698] The output will request the generated AI model to generate supplementary information.

[1699] Step 5:

[1700] The generative artificial intelligence generates supplementary information and sends it back to the server.

[1701] The generative AI model receives basic information and generates a detailed synopsis and related tags. The input is a prompt, and the output is the following supplementary information:

[1702] Tags: ["Fantasy", "Adventure"]

[1703] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1704] The generative AI model sends supplementary information back to the server.

[1705] Step 6:

[1706] The server integrates basic and supplementary information.

[1707] The server integrates the received supplementary and basic information. The input consists of basic and supplementary information, and the output is the integrated book information. Specifically, the data processing involves adding a detailed synopsis and tags to the basic information (title, author, brief synopsis). The following final book information is generated:

[1708] Title: "Sample book"

[1709] Author: "Sample Author"

[1710] Brief summary: "This is a sample book."

[1711] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1712] Tags: ["Fantasy", "Adventure"]

[1713] Step 7:

[1714] The server sends the integrated book information back to the user's terminal.

[1715] The server sends the integrated book information, encoded in JSON format, back to the user's device as an HTTP response. The input is the integrated book information, and the output is the HTTP response. The user's device receives this information and displays it in a browser or application. The user can then view detailed and SEO-friendly book information.

[1716] (Application Example 1)

[1717] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1718] Conventional book information systems only display basic book information, requiring users to conduct further research to obtain detailed information, which is time-consuming. Furthermore, they often fail to provide information efficiently from an SEO perspective. This invention aims to solve these problems and provide users with detailed book information that enhances SEO effectiveness, quickly and efficiently.

[1719] 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.

[1720] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for returning the generated book information to the user's terminal, and means for providing the generated book information in response to the user's search request. This makes it possible for users to quickly obtain detailed and SEO-effective book information.

[1721] "Book information" refers to information about a book, such as its title, author, synopsis, and ISBN.

[1722] "User's device" refers to electronic devices such as smartphones, tablets, and PCs that users use to obtain information via the internet.

[1723] A "database" refers to a storage system that stores basic information about books and provides that information in response to queries.

[1724] "Basic information" refers to information that makes up the book's overview, such as the book's title, author, and a brief synopsis.

[1725] "Generative artificial intelligence" refers to an artificial intelligence system that generates new information based on input data.

[1726] "Supplementary information" refers to information such as detailed summaries, related tags, and keywords generated by generative artificial intelligence.

[1727] "Integration" refers to combining basic information and supplementary information to create a single, complete book.

[1728] "SEO effect" refers to the effect of search engine optimization (SEO) on web pages to achieve higher rankings in search engine results pages.

[1729] A "search request" refers to the book selections or queries that users enter to retrieve book information.

[1730] "Return" refers to the process of sending book information generated by the server to the user's device.

[1731] This invention is a system for providing book information with enhanced SEO effectiveness, starting with a user requesting book information from their terminal. This system consists of a server, a user terminal, a database, and a generative AI model.

[1732] Program processing

[1733] Hardware and software usage

[1734] Hardware: Servers (cloud servers, etc.), user terminals (smartphones, tablets, PCs)

[1735] Software: REST API, Generative AI Models, Database Management Systems

[1736] Examples of generative AI models: OpenAI GPT-3, Google Cloud AI

[1737] Database examples: PostgreSQL, MySQL

[1738] Data processing and calculation

[1739] 1. Receiving book information:

[1740] The user requests book information from their device. The device has a search field where the user can enter the book title, author name, ISBN, etc. This entered information is sent to the server.

[1741] 2. Obtaining basic information:

[1742] The server sends queries to the database based on the book information submitted by the user to retrieve basic information. This basic information includes the book's title, author, and any existing brief synopsis.

[1743] 3. Request for generation of supplementary information:

[1744] The server sends the acquired basic information to the generating AI model and requests the generation of supplementary information such as a detailed synopsis and related tags. The generating AI model generates the supplementary information based on the information sent from the server.

[1745] 4. Generating supplementary information:

[1746] The generative AI model generates a detailed synopsis and related tags from the received basic information and sends them back to the server. An example of a prompt message is: "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'"

[1747] 5. Integration of book information:

[1748] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database to generate book information with enhanced SEO effectiveness. This book information also includes a detailed synopsis and related tags.

[1749] 6. Return of book information:

[1750] The server returns the generated book information to the user's terminal. The user can then view this information.

[1751] Specific example

[1752] For example, if a user enters "Book ID: 1" and requests book information, the server retrieves the following basic information from the database.

[1753] Title: "Sample book"

[1754] Author: "Sample Author"

[1755] Brief summary: "This is a sample book."

[1756] The server sends this basic information to the generating AI model and requests the generation of supplementary information. The generating AI model generates the following supplementary information and sends it back to the server.

[1757] Tags: ["Fantasy", "Adventure"]

[1758] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1759] The server integrates basic and supplementary information to generate the final book information. The following book information will be displayed on the user's terminal.

[1760] Title: "Sample book"

[1761] Author: "Sample Author"

[1762] Brief summary: "This is a sample book."

[1763] Detailed synopsis: "This is an epic adventure story set in a fantastical world."

[1764] Tags: ["Fantasy", "Adventure"]

[1765] This allows users to quickly obtain detailed and SEO-friendly book information.

[1766] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1767] Step 1:

[1768] A user requests book information. The user enters the book title, author name, or ISBN into the search field on their device and presses the search button. This action is sent to the server as input information. The server receives this request and proceeds to the next step.

[1769] Step 2:

[1770] The server sends a query to the database to retrieve basic information. The response from the database includes the book title, author, and existing synopsis. The input here is the book information obtained in step 1, and the output is the basic information obtained from the database.

[1771] Step 3:

[1772] The server requests the generative AI model to generate supplementary information based on the acquired basic information. This basic information includes the title, author name, and a brief synopsis. The server sends this information to the generative AI model, requesting the generation of a detailed synopsis and related tags. The input is the basic information, and the output is the request to the generative AI model.

[1773] Step 4:

[1774] The generative AI model generates supplementary information based on the basic information it receives. Specifically, it generates a detailed synopsis and related tags. The input for this process is the basic information sent from the server, and the output is the generated supplementary information.

[1775] Step 5:

[1776] The server integrates supplementary information returned from the generated AI model with basic information obtained from the database. The server combines both sets of data to generate the final book information. The input here is supplementary and basic information, and the output is the integrated, detailed book information.

[1777] Step 6:

[1778] The server returns the generated book information to the user's terminal. The user can then view the integrated book information on their terminal. In this case, the input is the integrated book information, and the output is the transmission of data to the user's terminal.

[1779] As a concrete example, when a user enters book ID "1" and searches, the server retrieves "Title: 'Sample Book', Author: 'Sample Author', Brief Synopsis: 'This is a sample book.'" from the database and sends it to the generating AI model. The generating AI model then generates "Detailed Synopsis: 'This is an epic adventure story set in a fantastical world.', Tags: ['Fantasy', 'Adventure']" and sends it back to the server. The server integrates this information and sends the final book information back to the user's device.

[1780] 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.

[1781] This invention aims to provide book information that is more relevant to the user by combining a system that provides book information with enhanced SEO effectiveness with an emotion engine that recognizes the user's emotions. The details of the processing by each entity (server, terminal, user) are shown below.

[1782] 1. Requesting book information and obtaining sentiment information.

[1783] A user requests book information.

[1784] The user enters a specific book ID using their device and clicks the "Search" button. At this time, the device has an emotion engine built in, which acquires emotional information in real time from the user's facial expressions and voice.

[1785] The device analyzes emotional information.

[1786] When a user requests book information, the emotion engine on the device analyzes the user's emotions (e.g., joy, sadness, excitement, etc.) and prepares to send the emotion data to the server.

[1787] 2. Acquisition of basic information and transmission of emotional information

[1788] The device sends the book ID and sentiment information to the server.

[1789] The terminal sends the book ID entered by the user and the emotion information obtained from the emotion engine to the server.

[1790] The server retrieves basic information from the database.

[1791] The server receives the book ID from the terminal and sends a query to the database to retrieve basic information about the corresponding book. This basic information includes the book's title, author, and a brief synopsis.

[1792] 3. Requests for generating supplementary information and the use of sentiment information

[1793] The server requests supplementary information from the generative artificial intelligence.

[1794] The server uses the acquired basic information, along with the emotional information transmitted from the terminal, to request the generative artificial intelligence (AI) to generate supplementary information. It then sends data containing both basic and emotional information to the AI ​​service's API.

[1795] Generative artificial intelligence generates supplementary information.

[1796] The generative artificial intelligence generates supplementary information, such as a detailed synopsis and related tags, based on the received basic and emotional information. The generated supplementary information is then sent back to the server.

[1797] 4. Integration of book information and return to users

[1798] The server integrates supplementary information.

[1799] The server integrates supplementary information returned from the generative artificial intelligence with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is appropriate for the user's emotions.

[1800] The server sends the integrated book information to the terminal.

[1801] The final, integrated book information is sent from the server to the terminal.

[1802] 5. Displaying book information to the user

[1803] The device displays book information to the user.

[1804] The terminal displays integrated book information received from the server to the user. Users can browse book information that is optimized for SEO and suits their own interests.

[1805] Specific example

[1806] For example, the following details describe a case where a user enters "Book ID: 1" to request book information, and simultaneously recognizes the emotion "Joy":

[1807] User request

[1808] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[1809] Acquisition of emotional information and basic book information

[1810] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[1811] Title: "Sample book"

[1812] Author: "Sample Author"

[1813] Brief summary: "This is a sample book."

[1814] Request to generate supplementary information

[1815] The server sends basic information and emotional information related to "joy" to the generative artificial intelligence.

[1816] Generation and reception of supplementary information

[1817] The generative artificial intelligence generates the following supplementary information appropriate for the emotion of "joy" and sends it back to the server:

[1818] Tags: ["fun", "adventure"]

[1819] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1820] Integration and display of book information

[1821] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[1822] This process allows users to quickly obtain more comprehensive book information that aligns with their own emotional needs.

[1823] The following describes the processing flow.

[1824] Step 1:

[1825] To request book information, the user enters a specific book ID using the device and clicks the "Search" button. The device incorporates an emotion engine that acquires emotional information in real time from the user's facial expressions and voice.

[1826] Step 2:

[1827] The emotion engine analyzes the user's emotions and generates emotion data (e.g., joy, sadness, excitement). This emotion data is sent from the terminal to the server along with the book request information.

[1828] Step 3:

[1829] The device sends a request to the server that includes the book ID and sentiment data.

[1830] Step 4:

[1831] The server receives the book ID and sentiment data, and generates a query to retrieve the corresponding book information from the database.

[1832] Step 5:

[1833] The server retrieves basic book information (title, author, basic synopsis) from the database.

[1834] Step 6:

[1835] The server combines basic information and emotional data acquired by the server and creates an API request to send to the generative artificial intelligence.

[1836] Step 7:

[1837] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[1838] Step 8:

[1839] The generative artificial intelligence receives a request from the server and generates supplementary information (detailed synopsis and related tags) based on basic information and emotional data.

[1840] Step 9:

[1841] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[1842] Step 10:

[1843] The server integrates the received supplementary information with the basic information to generate book information with enhanced SEO effectiveness. This book information reflects content that is relevant to the user's emotions.

[1844] Step 11:

[1845] The server sends the integrated book information to the user's terminal.

[1846] Step 12:

[1847] The terminal displays book information received from the server to the user.

[1848] Step 13:

[1849] Users can view integrated, detailed, and SEO-friendly book information on their devices.

[1850] Details of specific examples

[1851] Step 1:

[1852] The user enters "Book ID: 1" on their device and clicks the "Search" button. At this point, the emotion engine recognizes the emotion of "joy" from the user's facial expression.

[1853] Step 2:

[1854] The emotion engine generates emotional data, specifically "joy," and packages this data along with the request information.

[1855] Step 3:

[1856] The device sends a request to the server containing "Book ID: 1" and emotion data for "Joy".

[1857] Step 4:

[1858] The server receives the request and sends a query to the database with "Book ID: 1".

[1859] Step 5:

[1860] The server retrieves the following basic information from the database:

[1861] Title: "Sample book"

[1862] Author: "Sample Author"

[1863] Brief summary: "This is a sample book."

[1864] Step 6:

[1865] The server combines basic information and "joy" emotion data to create an API request to send to the generative artificial intelligence.

[1866] Step 7:

[1867] The server sends a POST request to the API endpoint of the generative artificial intelligence.

[1868] Step 8:

[1869] The generative artificial intelligence generates the following supplementary information based on basic information and emotional data:

[1870] Tags: ["fun", "adventure"]

[1871] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1872] Step 9:

[1873] The generative artificial intelligence generates supplementary information, which is then returned to the server in JSON format.

[1874] Step 10:

[1875] The server integrates the basic and supplementary information to generate the following final book information:

[1876] Title: "Sample book"

[1877] Author: "Sample Author"

[1878] Brief summary: "This is a sample book."

[1879] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1880] Tags: ["fun", "adventure"]

[1881] Step 11:

[1882] The server sends the integrated book information to the terminal.

[1883] Step 12:

[1884] The device receives integrated book information and displays it to the user.

[1885] Step 13:

[1886] Users can view detailed and SEO-friendly book information on their devices and find content that resonates with their emotions.

[1887] (Example 2)

[1888] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1889] Conventional book information systems failed to consider the user's emotional state, making it impossible to present the most suitable content. Furthermore, even with the use of generative artificial intelligence, emotional information could not be reflected, resulting in limited SEO effectiveness. Additionally, the lack of means to analyze emotions made it difficult to improve the user experience.

[1890] 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.

[1891] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for obtaining the user's emotional information using an emotion engine installed in the terminal and analyzing the emotional information, means for requesting supplementary information from a generative artificial intelligence based on the analyzed emotional information and basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, and means for returning the generated book information to the user's terminal. This makes it possible to provide optimal book information tailored to the user's emotions and improve SEO effectiveness.

[1892] "Book information" refers to data that includes basic and supplementary information about a book.

[1893] "User's device" refers to electronic devices such as computers, smartphones, and tablets that users use to search for and view book information.

[1894] An "emotion engine" is a combination of software and hardware that analyzes the user's facial expressions and voice to detect their emotional state.

[1895] "Basic information" refers to static data such as the book's title, author, and basic synopsis.

[1896] "Supplementary information" refers to additional data such as detailed summaries and related tags that generative artificial intelligence generates based on basic information and emotional information.

[1897] "Generative artificial intelligence" is a type of artificial intelligence that performs natural language processing, and it is a technology that generates new text and data based on a given prompt.

[1898] "SEO effect" refers to the effect of search engine optimization, meaning technical improvements that make web pages rank higher in search engine results.

[1899] A "database management system" is software used to build, manage, and operate databases, and is a technology that enables efficient storage, retrieval, and retrieval of data.

[1900] "Analysis" is the act of extracting data and deciphering its meaning and patterns.

[1901] A "book ID" is an identifier used to uniquely identify a book.

[1902] "API" stands for Application Programming Interface, and it is an interface for exchanging data and functions between different software programs.

[1903] This invention is a system that enhances SEO effectiveness by providing book information and delivers optimal book information to users. This system has the feature of analyzing users' emotions and generating supplementary information using generative artificial intelligence.

[1904] Server roles and functions

[1905] The server first receives a request from the user's terminal that includes the book ID. Based on the received book ID, the server sends a query to a database management system (e.g., MySQL or PostgreSQL) to retrieve basic information about the book (title, author, and a brief synopsis).

[1906] Next, the emotional information and basic information sent from the terminal are combined to create a prompt message and send a request to a generative artificial intelligence API (for example, a natural language processing engine). Based on this prompt message, the generative artificial intelligence generates supplementary information such as a detailed synopsis and related tags, and sends it back to the server.

[1907] Finally, the server integrates the generated supplementary and basic information and formats it into book information with enhanced SEO effectiveness. This final book information is then sent back to the user's device.

[1908] Terminal roles and functions

[1909] The terminal provides an interface for requesting book information. When a user enters a specific book ID and clicks the "Search" button, the terminal uses its built-in emotion engine to obtain the user's emotional information. The emotion engine uses the camera and microphone to analyze facial expressions and voice, and generates emotional data. This emotional data and the book ID are sent to the server.

[1910] User operation

[1911] Users can obtain book information that reflects emotional information simply by entering the book ID into the terminal interface and clicking the "Search" button. For example, if "Book ID: 1" is entered and the emotion engine detects "joy," a request containing the emotional information "joy" is sent to the server. Based on this information, the server uses a generative artificial intelligence to create a prompt message and obtain detailed information.

[1912] Specific example

[1913] For example, if a user enters "Book ID: 1" to request book information and simultaneously recognizes the emotion "Joy," the following will occur:

[1914] 1. User Request

[1915] The user enters "Book ID: 1" on their device and clicks the "Search" button. The emotion engine recognizes the user's emotion of joy.

[1916] 2. Acquisition of emotional information and basic book information

[1917] The device sends the book ID and "joy" emotion information to the server, and the server retrieves the following basic information from the database:

[1918] Title: "Sample book"

[1919] Author: "Sample Author"

[1920] Brief summary: "This is a sample book."

[1921] 3. Request to generate supplementary information

[1922] The server includes basic information and emotional information about "joy" in the prompt message sent to the generative artificial intelligence. For example, "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'."

[1923] 4. Generation and reception of supplementary information

[1924] Generative artificial intelligence generates supplementary information tailored to the user's emotions, such as "joyful and exciting adventure," and sends it back to the server.

[1925] Tags: ["fun", "adventure"]

[1926] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[1927] 5. Integration and display of book information

[1928] The server integrates basic and supplementary information and sends it back to the terminal. The terminal displays the integrated book information to the user. Users can quickly obtain more comprehensive book information that suits their own interests.

[1929] In this way, the present invention provides optimal book information that reflects the emotional state of the user, thereby enhancing SEO effectiveness.

[1930] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1931] Step 1:

[1932] A user requests book information.

[1933] Input: Enter the book ID.

[1934] Operation: The user enters the book ID into the input form on the device and clicks the "Search" button. The device's built-in camera and microphone capture the user's facial expressions and voice, and the emotion engine analyzes this to generate emotion data.

[1935] Output: Book ID and sentiment information (Example: Book ID = "1", Sentiment Information = "joy")

[1936] Step 2:

[1937] The device analyzes emotional information.

[1938] Input: Captured facial expression data and audio data

[1939] Operation: The device's emotion engine analyzes the user's facial expressions and voice, and structures them as emotion data. The emotion data is formatted as "emotion: joy".

[1940] Output: Analyzed sentiment data

[1941] Step 3:

[1942] The device sends the book ID and analyzed sentiment information to the server.

[1943] Input: Book ID, Analyzed sentiment data

[1944] Operation: The device sends the book ID and sentiment data to the server in JSON format.

[1945] Output: Request sent to the server (e.g., {"bookID": "1", "emotion": "joy"})

[1946] Step 4:

[1947] The server retrieves basic information from the database.

[1948] Input: Book ID

[1949] Operation: When the server receives a request, it sends a query based on the book ID to the database management system (e.g., MySQL or PostgreSQL) to retrieve the corresponding basic information. For example, the basic information for "Sample Book" would include the title, author, and a brief synopsis.

[1950] Output: Basic information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book."})

[1951] Step 5:

[1952] The server requests supplementary information from the generative artificial intelligence.

[1953] Input: Basic information, sentiment data

[1954] Operation: The server generates a prompt based on the received basic information and sentiment data, and sends a request to the generative artificial intelligence API. For example, it might generate a prompt such as "Generate a joyful and exciting adventure summary for 'Sample Book' by 'Sample Author'".

[1955] Output: Prompt request to generative artificial intelligence

[1956] Step 6:

[1957] Generative artificial intelligence generates supplementary information.

[1958] Input: Prompt message

[1959] Operation: The generative AI receives a prompt and generates supplementary information such as a detailed synopsis and tags. If the emotion information is "joy," supplementary information containing positive content will be generated.

[1960] Output: Generated supplementary information (Example: {"tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[1961] Step 7:

[1962] The server integrates supplementary information.

[1963] Input: Basic information, supplementary information

[1964] Operation: The server integrates the generated supplementary information with the basic information and formats it into final book information with enhanced SEO effectiveness. For example, it integrates the basic and supplementary information into an HTML template.

[1965] Output: Integrated book information (Example: {"title": "Sample Book", "author": "Sample Author", "summary": "This is a sample book.", "tags": ["fun", "adventure"], "detailedSummary": "This is a joyful and exciting adventure set in a fantastical world."})

[1966] Step 8:

[1967] The server sends the integrated book information to the terminal.

[1968] Input: Integrated book information

[1969] Operation: The server sends integrated book information to the terminal. HTTPS is used for communication.

[1970] Output: Book information returned to the terminal

[1971] Step 9:

[1972] The device displays book information to the user.

[1973] Input: Received book information

[1974] Operation: The terminal renders the received book information in HTML format and displays it to the user. The interface displays the book title, author, detailed synopsis, and related tags.

[1975] Output: Book information displayed to the user

[1976] The above outlines the specific processing steps. This process allows users to quickly obtain more comprehensive book information that matches their own emotional needs.

[1977] (Application Example 2)

[1978] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1979] In recent years, it has become common practice for book information systems to display uniform information without considering the user's emotions. As a result, users are often provided with book information that does not match their emotions, and there is a need to improve the user experience. In particular, if it becomes possible to provide personalized information that corresponds to the user's emotional state, it is expected that user satisfaction will increase and the desire to purchase books will be stimulated. However, current systems lack the means to achieve this, and therefore, effective book information provision is not possible.

[1980] 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.

[1981] In this invention, the server includes means for receiving book information from the user's terminal, means for obtaining basic information from a database based on the received book information, means for requesting supplementary information from a generative artificial intelligence based on the obtained basic information, means for integrating the supplementary information and basic information returned from the generative artificial intelligence to generate book information with enhanced SEO effectiveness, means for recognizing the user's emotions in real time and obtaining the recognized emotion information, means for sending data containing the recognized emotion information to the server and requesting the generation of supplementary information based on the emotion information, and means for returning the generated book information to the user's terminal. This makes it possible to provide personalized book information that is appropriate to the user's emotions.

[1982] Definitions of important words

[1983] "Book information" refers to various data related to a book, such as the book's title, author, synopsis, and tags.

[1984] "Terminal" refers to a device used by a user to search for book information, and includes smartphones, tablets, and personal computers.

[1985] A "database" refers to a collection of information that stores basic information about a book, and it can be accessed through queries.

[1986] "Basic information" refers to fundamental data stored in the database, such as the book's title, author, and basic synopsis.

[1987] "Generative artificial intelligence" refers to artificial intelligence that generates new information or text based on input data.

[1988] "Supplementary information" refers to detailed summaries, related tags, and other information generated by generative artificial intelligence to complement the basic information.

[1989] "SEO effect" refers to the phenomenon where information about a particular book appears higher in search results due to search engine optimization.

[1990] An "emotion engine" refers to technology or software that recognizes a user's emotions from facial expressions, voice, and other sources.

[1991] "Emotional information" refers to data about the user's emotions as recognized by the emotion engine.

[1992] A "request" refers to the act of requesting specific information or services, and in this context, it means a request aimed at obtaining book information or supplementary information.

[1993] "Integration" refers to the act of combining multiple pieces of information into one; in this context, it means combining basic information and supplementary information to create book information.

[1994] A "user" refers to a person who uses this system to search for and retrieve book information.

[1995] Modes for carrying out the invention

[1996] This invention relates to a system that personalizes book information to the user's emotions and provides it in real time. The details of the server, terminal, and user processing are described below.

[1997] Server Processing

[1998] The server first receives a book information request sent from the user's terminal. This request includes the book ID and the user's sentiment information as recognized by the sentiment engine. Based on the book ID, the server retrieves basic information about the book from the database. This basic information includes the book's title, author, and a brief synopsis.

[1999] Next, the server requests the generative artificial intelligence (AI) to generate supplementary information using the basic information and emotional information. This request is made via the AI's API. The AI ​​combines the basic information with the emotional information to generate supplementary information such as a detailed synopsis and related tags. The generated supplementary information is then sent back to the server.

[2000] The server integrates the returned supplementary information with the basic information to generate book information with enhanced SEO effectiveness. The generated book information reflects content that resonates with the user's emotions. Finally, this integrated book information is sent back to the terminal.

[2001] Terminal processing

[2002] The terminal first sends a book information request to the server when the user enters the book ID and clicks the "Search" button. At this time, the terminal's emotion engine analyzes the user's facial expressions and voice in real time to obtain emotional information. The emotion engine uses facial recognition and voice analysis technologies.

[2003] The acquired emotion information and book ID are sent together to the server. Once the server returns the integrated book information, the terminal displays that information to the user. The displayed book information includes content that matches the user's emotions, improving the user experience.

[2004] Hardware and software to be used

[2005] The hardware used includes smartphones, tablets, and personal computers. The emotion engine implementation utilizes facial recognition and voice analysis software. For example, the EmotionEngine library is used as the emotion engine. On the server side, an SQL database is used, and the AIGenerator module is utilized for generative artificial intelligence. The requests library is used for API requests.

[2006] Specific example

[2007] The user enters book ID "1" and clicks the "Search" button. The emotion engine recognizes the user's emotion of "joy." The terminal sends the book ID and emotion information of "joy" to the server. The server retrieves the following basic information from the database:

[2008] Title: "Sample book"

[2009] Author: "Sample Author"

[2010] Brief summary: "This is a sample book."

[2011] This basic information and the emotion information of "joy" are sent to the generative artificial intelligence system, which then generates the following supplementary information:

[2012] Tags: ["fun", "adventure"]

[2013] Detailed synopsis: "This is a joyful and exciting adventure set in a fantastical world."

[2014] The server integrates basic and supplementary information and sends it back to the terminal. The terminal then displays the integrated book information to the user.

[2015] Example of a prompt

[2016] "book_id = '1'

[2017] display_book_info(book_id)"

[2018] Entering this prompt will execute the process that occurs when the user searches for "Book ID: 1".

[2019] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2020] Program processing steps

[2021] Step 1:

[2022] The user enters the book ID using their device and clicks the search button.

[2023] Specific action: The user enters "Book ID: 1" into the input form on their smartphone or tablet and presses the "Search" button.

[2024] Input: Book ID

[2025] Output: The book ID is recognized by the device.

[2026] Step 2:

[2027] The device's emotion engine analyzes the user's facial expressions and voice to obtain emotional information.

[2028] Specific operation: EmotionEngine, which performs facial recognition and voice analysis, is launched and recognizes emotions in real time while the user is inputting. For example, it detects the emotion of "joy" from facial expressions.

[2029] Input: User's facial expressions and voice data

[2030] Output: Recognized emotion information (e.g., "joy")

[2031] Step 3:

[2032] The device sends the book ID and sentiment information to the server.

[2033] Specific operation: The device combines the book ID and recognized emotion information into a single packet and sends it to the server.

[2034] Input: Book ID, sentiment information

[2035] Output: Request data received by the server

[2036] Step 4:

[2037] The server retrieves basic information from the database.

[2038] Specific operation: The server uses the book ID to query the database and retrieves basic information (title, author, synopsis) for the relevant book.

[2039] Input: Book ID

[2040] Output: Basic information (title, author, basic synopsis)

[2041] Step 5:

[2042] The server sends basic information and emotional information to a generative artificial intelligence system and requests the generation of supplementary information.

[2043] Specific operation: The server sends basic information and emotional information to the API of a generative artificial intelligence system and requests that it generate supplementary information in a format appropriate to the emotions.

[2044] Input: Basic information, emotional information

[2045] Output: Supplementary information generated by a generative artificial intelligence.

[2046] Step 6:

[2047] The server receives supplementary information returned by the generative artificial intelligence and integrates it with the basic information.

[2048] Specific operation: Receive supplementary information returned from the generative artificial intelligence and integrate the basic information and supplementary information into a single dataset.

[2049] Input: Supplementary information, basic information

[2050] Output: Integrated book information (book information with enhanced SEO effectiveness)

[2051] Step 7:

[2052] The server sends the integrated book information back to the terminal.

[2053] Specific operation: The server sends the integrated book information to the terminal, making it accessible to the user.

[2054] Input: Integrated book information

[2055] Output: Integrated book information received by the device

[2056] Step 8:

[2057] The device displays integrated book information to the user.

[2058] Specific operation: The device analyzes the received data and displays the book's title, author, synopsis, tags, etc., on the screen.

[2059] Input: Integrated book information

[2060] Output: Personalized book information displayed on the screen

[2061] 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.

[2062] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2063] 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.

[2064] 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.

[2065] 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.

[2066] 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.

[2067] 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.

[2068] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[2069] 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."

[2070] 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.

[2071] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[2072] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[2073] 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.

[2074] 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.

[2075] 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.

[2076] 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.

[2077] 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.

[2078] 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.

[2079] 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.

[2080] 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.

[2081] 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 as being incorporated by reference.

[2082] The following is further disclosed regarding the embodiments described above.

[2083] (Claim 1)

[2084] A means of receiving book information from the user's device,

[2085] A means of obtaining basic information from a database based on the received book information,

[2086] A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information,

[2087] A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence,

[2088] A means of returning the generated book information to the user's device,

[2089] A system that includes this.

[2090] (Claim 2)

[2091] The system according to claim 1, the basic information includes the title, author, and basic synopsis.

[2092] (Claim 3)

[2093] The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags.

[2094] "Example 1"

[2095] (Claim 1)

[2096] A means of receiving book information from the user's device,

[2097] A means of obtaining basic information from a database based on the received book information,

[2098] A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information,

[2099] A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence,

[2100] A means of returning the generated book information to the user's device,

[2101] A system that includes this.

[2102] (Claim 2)

[2103] The system according to claim 1, the basic information includes the title, author, and basic synopsis.

[2104] (Claim 3)

[2105] The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags.

[2106] "Application Example 1"

[2107] (Claim 1)

[2108] A means of receiving book information from the user's device,

[2109] A means of obtaining basic information from a database based on the received book information,

[2110] A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information,

[2111] A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence,

[2112] A means of returning the generated book information to the user's device,

[2113] A means of providing generated book information in response to a user's search request,

[2114] A system that includes this.

[2115] (Claim 2)

[2116] The system according to claim 1, the basic information includes the title, author, and basic synopsis.

[2117] (Claim 3)

[2118] The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags.

[2119] "Example 2 of combining an emotion engine"

[2120] (Claim 1)

[2121] A means of receiving book information from the user's device,

[2122] A means of obtaining basic information from a database based on the received book information,

[2123] A means of acquiring and analyzing user emotional information using an emotion engine installed in the device,

[2124] A means of requesting supplementary information from a generative artificial intelligence based on the analyzed emotional information and basic information,

[2125] A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence,

[2126] A means of returning the generated book information to the user's device,

[2127] A system that includes this.

[2128] (Claim 2)

[2129] The system according to claim 1, the basic information includes the title, author, and basic synopsis.

[2130] (Claim 3)

[2131] The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags.

[2132] "Application example 2 of combining emotional engines"

[2133] (Claim 1)

[2134] A means of receiving book information from the user's device,

[2135] A means of obtaining basic information from a database based on the received book information,

[2136] A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information,

[2137] A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence,

[2138] A means of recognizing a user's emotions in real time and acquiring the recognized emotion information,

[2139] A means for sending data containing recognized emotion information to a server and requesting the generation of supplementary information based on the emotion information,

[2140] A means of returning the generated book information to the user's device,

[2141] A system that includes this.

[2142] (Claim 2)

[2143] The system according to claim 1, the basic information includes the title, author, and basic synopsis.

[2144] (Claim 3)

[2145] The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags. [Explanation of symbols]

[2146] 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. A means of receiving book information from the user's device, A means of obtaining basic information from a database based on the received book information, A means of requesting supplementary information from a generative artificial intelligence based on the acquired basic information, A method for generating book information with enhanced SEO effectiveness by integrating supplementary and basic information returned from a generative artificial intelligence, A means of returning the generated book information to the user's device, A system that includes this.

2. The system according to claim 1, wherein the basic information includes the title, author, and basic synopsis.

3. The system according to claim 1, wherein the supplementary information includes a detailed synopsis and tags.

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