system

Abstract

Provide a system. A means for setting information that a user considers important in advance; a means for storing product details; A means for matching the information that the user sets as important with detailed product information and generating a personalized message for the user; A system including:

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In e-commerce, the information and needs of each user vary, making it difficult to quickly identify appropriate product information from among the products selected by the user. Furthermore, it is difficult for sellers to present optimal messages to each user. This can hinder the improvement of the user experience. The present invention aims to provide a system that quickly provides personalized product information tailored to each user's needs. [Means for solving the problem]

[0005] The present invention provides a system including a means for setting information that a user considers important in advance, a means for saving detailed product information, and a means for matching the information considered important by the user with the detailed product information to generate a personalized message for the user. The system further includes a means for displaying the personalized message on the user's terminal. The system also includes a means for receiving the information considered important by the user at the time of user registration and receiving detailed product information at the time of product registration, and the information to be matched between the user and the product includes price, brand, and reviews. This allows the user to quickly and accurately obtain the information they desire, improving the user experience.

[0006] "Information that users value" refers to elements that users consider particularly important in e-commerce, such as specific information such as price, brand, and reviews.

[0007] "Detailed product information" refers to various attribute information about a product, including specific details such as price, brand, reviews, color, and specifications.

[0008] "Matching" refers to the act of comparing information that the user values ​​with detailed product information, identifying matching elements, and combining them.

[0009] A "personalized message" is a message of product information customized for a specific user, generated based on information that the user values.

[0010] A "terminal" is an electronic device such as a computer, smartphone, or tablet that allows a user to access e-commerce and view product information.

[0011] The "system" refers to the entire set of devices and software that manages user setting information and detailed product information, compares them, and performs a series of processes to generate and display personalized messages based on the present invention. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0013] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0016] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0017] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0018] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0020] [First embodiment]

[0021] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0022] 1, a 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.

[0023] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0025] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0026] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0028] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0030] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0032] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0033] MODE FOR CARRYING OUT THE INVENTION

[0034] This invention relates to a system that provides personalized product information for each user in e-commerce. This system operates among the user, terminal, and server, and performs a series of processes to set information that the user values ​​in advance, and then compare it with detailed product information to generate a personalized message.

[0035] User

[0036] When using an e-commerce service, users first set the information they value (such as price, brand, reviews, etc.). This is done when they initially register with the system. This setting information is saved on the server and used when browsing products thereafter. The information that users value can be changed, and users can reset it as their needs change.

[0037] server

[0038] The server receives and stores the information that the user values. Product details are also stored on the server. When a new product is added, the product ID and its corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in a database and uses it for later matching.

[0039] Terminal

[0040] When a user views a specific product page, the device sends the user ID and product ID to the server. The server receives this and performs a process to match the information the user values ​​with detailed product information. Specifically, it checks whether the information the user values ​​(price, brand, reviews, etc.) exists in the product information and extracts any matching information.

[0041] Generate personalized messages

[0042] The server generates a personalized message based on the results of comparing the user's settings and product information. This message contains only the information the user cares about and is sent to the device in a format that is easy for the user to understand. The device receives the message and displays it to the user.

[0043] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is price: $100, brand: XYZ, reviews: 4.5 stars, and color: red. In this case, the server will match the product information based on the information the user values ​​(price, brand, reviews) and generate the following message:

[0044] Price: $100

[0045] Brand: XYZ

[0046] Review: 4.5 stars

[0047] This personalized message is displayed on the user's device, allowing the user to quickly check the information that is important to them and efficiently select products.

[0048] The system of the present invention improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0052] Step 2:

[0053] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0054] Step 3:

[0055] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0056] Step 4:

[0057] The server receives the detailed product information and stores it in a database.

[0058] Step 5:

[0059] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0060] Step 6:

[0061] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0062] Step 7:

[0063] The server compares the information that the user values ​​(price, brand, reviews, etc.) with detailed product information and extracts matching information.

[0064] Step 8:

[0065] The server generates a personalized message based on the matching results, which contains only the information the user cares about and is written in a format that is easy for the user to understand.

[0066] Step 9:

[0067] The server transmits the generated personalized message to the terminal.

[0068] Step 10:

[0069] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0070] This series of processes allows users to quickly and easily view only the information that is important to them.

[0071] Example 1

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

[0073] Conventional e-commerce systems have faced challenges in making it difficult for users to efficiently obtain product information that best suits them from a large number of products. Furthermore, product information may not reflect the information users value, resulting in a poor user experience. Furthermore, it is difficult for sellers to provide appropriate product information for each user.

[0074] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0075] In this invention, the server includes means for searching a database for information that a user values, means for searching a database for detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message, and means for transmitting the generated personalized message to the user's terminal, thereby making it possible to provide product information based on the information that the user values.

[0076] "User" refers to a person who uses an electronic commerce system to obtain product information and make a purchase.

[0077] "Important information" refers to information items that users consider particularly important when selecting a product, such as price, brand, and reviews.

[0078] "Product details" refers to specific information about a product, such as price, brand, reviews, color, etc.

[0079] A "personalized message" refers to product information that is generated based on information that the user values ​​and is provided to the user.

[0080] "Terminal" refers to a device that a user uses to access the system and view product information, such as a PC, smartphone, or tablet.

[0081] The term "server" refers to a computer system that stores information important to users and detailed product information, generates personalized messages based on this information, and sends them to terminals.

[0082] A "database" refers to a system within a server that organizes and stores data such as information that users value and detailed product information.

[0083] "User ID" refers to an identifier for individually identifying a user.

[0084] "Product ID" refers to an identifier for uniquely identifying a product.

[0085] A "generative AI model" refers to an algorithm or program that generates personalized messages based on user priorities and product details.

[0086] A "prompt" is a textual instruction entered into a generative AI model to specify what message the model should generate.

[0087] MODE FOR CARRYING OUT THE INVENTION

[0088] The present invention relates to a system for providing personalized product information for each user in electronic commerce. This system is composed of the following elements:

[0089] User

[0090] When initially registering with an e-commerce service, users set the information they value (such as price, brand, reviews, etc.). Settings are made using a user interface provided on the browser. The set information is sent from the terminal to the server, which stores it in a database. This information is used later when browsing products. Users can reset the information they value according to their needs.

[0091] server

[0092] The server is responsible for:

[0093] 1. Save the information that the user has set as important.

[0094] 2. Store product details (e.g. price, brand, reviews, color, etc.) in a database. Every time a new product is added, the product ID and details are registered.

[0095] 3. When a product page is viewed, the user ID and product ID are received, and the information the user values ​​is searched for and matched with detailed product information from the database.

[0096] 4. Based on the match, a personalized message is generated and sent to the user's device, containing only the information the user values.

[0097] Terminal

[0098] The device (e.g., computer, smartphone, tablet) performs the following actions:

[0099] 1. Provide a user interface for users to enter important information during initial registration.

[0100] 2. When viewing a specific product page, the user ID and product ID are sent to the server.

[0101] 3. Receives the personalized message sent by the server and displays it to the user.

[0102] As a concrete example, let's say the user ID is "user123" and the user prioritizes price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, the server will match the product information based on the information the user prioritizes (price, brand, and reviews) and generate the following message:

[0103] Price: $100

[0104] Brand: XYZ

[0105] Review: 4.5 stars

[0106] Generative AI model and prompts

[0107] The generative AI model generates personalized messages based on the user's priorities and product information. The prompt sentence is used as input for the generative AI model.

[0108] Example prompt sentence:

[0109] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0110] The personalized message thus generated is sent to the terminal and displayed to the user, allowing the user to quickly obtain the necessary information and efficiently select products.

[0111] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0112] Program processing flow

[0113] Step 1:

[0114] Setting user-important information

[0115] The user sets the information they value (e.g., price, brand, reviews, etc.) during initial registration. This setting is done through the device's user interface. The data entered is the information the user selected as important, and is sent from the device to the server. The server stores this information in a database.

[0116] Specific operation: The user accesses the form on a browser, selects important information items using checkboxes or radio buttons, and presses the "Submit" button. Input: Important information selected by the user. Output: Important information sent to the server.

[0117] Step 2:

[0118] Saving user configuration information

[0119] The server receives the user's important information sent from the device and stores it in a database, which stores the user ID and important information.

[0120] Specific operation: The server receives the data sent as an HTTP POST request and executes an INSERT statement in the database to save the information. Input: Information that the user values ​​received from the terminal. Output: Information that the user values ​​saved in the database.

[0121] Step 3:

[0122] Registering product information

[0123] When a seller or system administrator registers a new product, they enter the product ID and details (e.g. price, brand, reviews, color, etc.), which the server stores in the database.

[0124] Specific operation: Product details are entered via the administrator interface and sent to the server via an HTTP request. The server receives this and inserts the product information into the database. Input: Product details registered by the seller. Output: Product information saved in the database.

[0125] Step 4:

[0126] Viewing product pages

[0127] When a user views a specific product page, the device sends the user ID and product ID to the server, which then searches the database for the information the user cares about and detailed product information.

[0128] Specific operation: When a user opens a product web page, the user ID and product ID are sent to the server using JavaScript (registered trademark). The server receives this and retrieves the required information from the database using an SQL SELECT statement. Input: User ID and product ID sent when the product page is opened. Output: Information that the user values ​​and detailed product information retrieved from the database.

[0129] Step 5:

[0130] Generate personalized messages

[0131] The server compares the user's important information with the product details and generates a personalized message that includes only the information the user considers important.

[0132] Specific operation: The server combines the retrieved information to create a personalized message. The SQL results are processed within the program to generate a message in a specific format. Input: Information that the user values ​​and detailed product information retrieved from the database. Output: A personalized message.

[0133] Step 6:

[0134] Send and display personalized messages

[0135] The generated personalized message is sent from the server to the terminal, which receives it and displays it to the user.

[0136] Specific operation: The server sends a personalized message as an HTTP response. The device parses the response using JavaScript or similar and displays the message in the user interface. Input: The personalized message sent from the server. Output: The personalized message displayed on the user's device.

[0137] Example prompt sentence

[0138] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0139]

[0140] (Application example 1)

[0141] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0142] Conventional e-commerce systems have the problem that users cannot easily obtain product information that suits them, resulting in a long time required for purchasing decisions. In particular, when there are many products available, users can become confused in the process of selecting a product based on the information they value (e.g., price, brand, reviews, etc.). Furthermore, because user needs change, it is necessary to provide personalized information based on the latest information, but few systems can achieve this. The present invention aims to solve these problems and improve the user experience.

[0143] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0144] In this invention, the server includes means for setting information that a user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a message personalized for the user, means for allowing the user to change the information that the user values ​​through an interface, and means for generating a personalized product list. This enables the user to efficiently select products based on the information that the user values, speeding up purchasing decision-making in e-commerce and enabling quick response to changing needs.

[0145] "Means for pre-setting information that users value" is a function that allows users to pre-set criteria that they value, including price, brand, reviews, etc., into the system.

[0146] The "means for storing detailed product information" is a function for storing detailed attribute information such as price, brand, reviews, and color for each product in a database or server.

[0147] "Means for matching the important information set by the user with detailed product information and generating a message personalized for the user" refers to a function for comparing the criteria set by the user with attribute information of a product and creating a message customized for the user based on that.

[0148] "Means for allowing the user to change the information that they consider important through the interface" refers to a function that allows the user to change the information that they consider important through the interface of an application or website, even after the initial settings have been made.

[0149] The "means for generating a personalized product list" is a function for creating a list for selecting and displaying optimal products based on information that the user values.

[0150] The present invention specifically realizes an electronic commerce system for providing users with personalized product information. This system is composed of users, terminals, and a server, each of which has a specific function.

[0151] System configuration

[0152] 1. User Part:

[0153] Users install the dedicated application on their smartphone or other device, and when they first start it up, they set the information they value (price, brand, reviews, etc.) There are multiple options for users to choose from.

[0154] Furthermore, the user can change the information that is important at any time from the setting screen.

[0155] 2. Terminal part:

[0156] When a user browses a product, the user's device (such as a smartphone or tablet) sends the product ID to the server, along with the user ID.

[0157] The terminal is responsible for displaying the personalized message received from the server.

[0158] 3. Server part:

[0159] The server is built with a backend application using Node.js and Express, and stores product and user information in MongoDB.

[0160] The system stores the setting information sent by the user, and when the user views a product, it compares the setting information with the product's detailed information. It also generates a personalized message based on the comparison result and returns it to the device.

[0161] Processing flow

[0162] User Registration:

[0163] When a user opens the application, they enter important information on the initial setup screen, which is sent to the server along with their user ID.

[0164] Information storage:

[0165] The server stores the received information in MongoDB, and also stores details of each new product (price, brand, reviews, etc.) whenever it is added.

[0166] Product View:

[0167] When a user views a particular product, they send their user ID and product ID to the server, which receives this information, matches the user's priorities with the product details, and generates a personalized message for the user (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.).

[0168] Message Generation:

[0169] The server sends the generated personalized message to the terminal, which receives it and displays it on the screen.

[0170] Specific examples

[0171] For example, if a user has set price and reviews as important, and they browse to "Smartphone ABC", the server will respond with:

[0172] Price: $500

[0173] Review: 4.5 stars

[0174] Example prompt for a generative AI model:

[0175] 1. "Generate a personalized product list based on the user's most important information (price, brand, reviews). User ID is 'user123', product ID is 'product456'."

[0176] 2. "Personalize product information and generate messaging for users who care about price, brand, and reviews."

[0177] This system allows users to easily receive product information based on their priorities, enabling them to make purchasing decisions quickly and efficiently. Furthermore, users can change settings according to their needs, making it possible to always receive the latest personalized information.

[0178] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0179] Step 1:

[0180] User Registration

[0181] Input: A user installs an e-commerce application and enters important information (price, brand, reviews, etc.) when first launched.

[0182] Processing: The information entered by the user is obtained through the front-end UI component and sent to the server as a POST request along with the user ID.

[0183] Output: The server receives this and stores the important information and the user ID in a database (MongoDB).

[0184] Step 2:

[0185] Registering product information

[0186] Input: When an administrator adds a new product to the system, they input the product details (price, brand, reviews, etc.).

[0187] Processing: Retrieve product details from the backend admin interface and store them in MongoDB along with the product ID.

[0188] Output: The product details are saved in a database for the user to access later.

[0189] Step 3:

[0190] Submitting a product viewing request

[0191] Input: When a user opens a specific product page, they press the view button.

[0192] Processing: The device sends a request containing the user ID and product ID to the server. The request is executed as an HTTP GET request.

[0193] Output: The server receives the user ID and product ID and starts the process of retrieving the relevant information from the database.

[0194] Step 4:

[0195] Matching user information with product information

[0196] Input: User ID and product ID sent to the server.

[0197] Processing: The server retrieves the user's important information and product details from MongoDB. For example, if the user's important information is price and reviews, the server extracts the product's price and review information.

[0198] Output: Generate a personalized message based on the extracted information.

[0199] Step 5:

[0200] Generate personalized messages

[0201] Input: Matched user's key information and product details.

[0202] Processing: Based on the important information, the server generates a personalized message in text format (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.) in a format that is easy for the user to understand.

[0203] Output: Sends the generated personalized message in JSON format to the device.

[0204] Step 6:

[0205] Displaying messages

[0206] Input: Personalized message sent from the server (JSON format).

[0207] Processing: The device parses the received message and displays it appropriately in the user's UI. Use a library such as React Native to display the message on the screen.

[0208] Output: The user can see the personalized product information on the screen.

[0209] This series of processes enables the user to quickly obtain product information based on the information that is most important to him or her, and to make purchasing decisions efficiently.

[0210] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0211] MODE FOR CARRYING OUT THE INVENTION

[0212] The present invention relates to a system for providing personalized product information for each user in electronic commerce, and also includes an emotion engine that recognizes the user's emotions and generates a personalized message according to the emotions. This system operates among four parties: the user, the terminal, the server, and the emotion engine, and performs a series of processes to generate a personalized message by comparing detailed product information based on the information the user values ​​and the user's emotions.

[0213] User

[0214] When using an e-commerce service, users first set the information they value (e.g., price, brand, reviews, etc.). This is done during initial registration with the system, and this setting information is saved on the server. Furthermore, during the purchasing process, users provide emotional data through text input or sensors. This emotional data is analyzed by the emotion engine.

[0215] server

[0216] The server receives the important information and emotion data sent by the user and stores them in a database. Product details are also stored on the server. When a new product is added, the product ID and corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching.

[0217] Terminal

[0218] When a user views a specific product page, the device sends the user ID and the product ID to the server. The server receives this information and performs a process to match the important information set by the user with the detailed product information.

[0219] Emotion Engine

[0220] The emotion engine analyzes the emotional data received from the user. Based on the analysis results, it determines the user's emotional state and sends that information to the server. The server then compares the information the user values ​​with detailed product information and generates a personalized message based on the emotional data.

[0221] Generate personalized messages

[0222] The server compares the user's settings with the product information and generates a personalized message that reflects the emotional data from the emotion engine. This message includes information that the user values ​​and is adjusted according to the user's emotions. This personalized message is then sent to the user's device and displayed.

[0223] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0224] Here are some products you'll love:

[0225] Price: $100

[0226] Brand: XYZ

[0227] Review: 4.5 stars

[0228] This personalized message is displayed on the user's device, allowing the user to quickly and easily view information that is relevant to their interests and emotions.

[0229] The system of the present invention further improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0230] The processing flow will be explained below.

[0231] Step 1:

[0232] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0233] Step 2:

[0234] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0235] Step 3:

[0236] When users browse products, they provide emotion data through text input or sensors, which the device then sends to the emotion engine.

[0237] Step 4:

[0238] The emotion engine analyzes the emotion data received from the user and determines the user's emotional state (e.g., joy, sadness, anger, etc.), and sends the result to the server.

[0239] Step 5:

[0240] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0241] Step 6:

[0242] The server receives the detailed product information and stores it in a database.

[0243] Step 7:

[0244] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0245] Step 8:

[0246] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0247] Step 9:

[0248] The server matches user-focused information with product details and extracts matching information, including price, brand, reviews, etc.

[0249] Step 10:

[0250] The server also takes into account emotional data from the emotion engine to generate personalized messages, for example, adding positive expressions to the message if the user is in a "joy" emotional state.

[0251] Step 11:

[0252] The server transmits the generated personalized message to the terminal.

[0253] Step 12:

[0254] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0255] This series of processes enables users to quickly and easily view product information based on the information and emotions that they value.

[0256] Example 2

[0257] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0258] Conventional e-commerce systems can provide personalized product information based on user-important information, but they have not provided personalized messages that take into account the user's emotional state. As a result, the improvement of the user experience has been limited, and it has been difficult to fully stimulate the user's purchasing motivation. Therefore, there is a need to generate personalized messages that reflect the user's emotional state and improve the user experience.

[0259] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0260] In this invention, the server includes means for setting information that a user considers important in advance, means for saving detailed product information, means for receiving user emotion data, means for analyzing the emotion data, and means for comparing the information that the user considers important with the detailed product information and generating a personalized message that reflects the emotion data. This makes it possible to generate a personalized message that takes the user's emotional state into consideration, thereby improving the user experience.

[0261] "Information that users place importance on" refers to information that users place particular importance on when selecting a product, such as attribute information such as price, brand, and reviews.

[0262] "Detailed product information" is specific attribute information about a product, including information such as price, brand, reviews, and color.

[0263] "User emotional data" refers to data that represents the user's emotional state, and refers to information obtained through text input or sensors.

[0264] "Means for analyzing emotional data" refers to a mechanism or technology for analyzing a user's emotional data and determining their emotional state.

[0265] "Personalized messages" refer to messages that are individually customized based on the user's priorities and emotional state.

[0266] "Server" refers to the computer within the system that stores and processes user information, product information, and emotional data, and performs necessary data analysis.

[0267] A "terminal" is a device used by a user to access an e-commerce system, such as a personal computer or smartphone.

[0268] "Emotion engine" refers to a piece of software or hardware that receives and analyzes a user's emotion data.

[0269] MODE FOR CARRYING OUT THE INVENTION

[0270] The present invention is a system for providing personalized product information and emotional messages to each user in an electronic commerce system. This system operates among four parties: the user, a terminal, a server, and an emotion engine.

[0271] User

[0272] A user first accesses an e-commerce service and performs initial registration. Here, the user inputs and saves information that is important to them (e.g., price, brand, reviews, etc.). This information is sent to the server and stored. During the purchasing process, the user also provides emotional data using text input or sensors. This emotional data is then sent to the emotion engine via the server.

[0273] server

[0274] The server receives the important information and emotion data sent by the user and stores them in a database. Furthermore, when a new product is added, the product ID and corresponding detailed information (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching processes. Furthermore, when a user views a specific product page, the server receives the user ID and the ID of the product being viewed and performs a process to match the important information set by the user with the detailed product information.

[0275] Terminal

[0276] When a user browses a specific product page, the device sends the user ID and product ID to the server. It also provides emotional data about the user during the purchase process. The device then displays personalized messages sent from the server to the user.

[0277] Emotion Engine

[0278] The emotion engine analyzes the user's emotion data sent from the server to determine their emotional state, and the analysis results are returned to the server, which then generates a personalized message based on the data.

[0279] Generate personalized messages

[0280] The server compares the user's settings, product information, and emotional data, and generates a message that is tailored to the user's priorities and emotional state. This message is then sent to the terminal and displayed to the user.

[0281] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0282] Here are some products you'll love:

[0283] Price: $100

[0284] Brand: XYZ

[0285] Review: 4.5 stars

[0286] This personalized message is displayed on the user's terminal.

[0287] Example prompts to input to the generative AI model

[0288] "Generate a description in Japanese for the following paragraph. Generate a personalized message for the user ID "user123" who prioritizes price, brand, and reviews, and for the product ID "product456" whose detailed information is price "$100", brand "XYZ", review "4.5 stars", and color "red". The emotion data is determined to be "joy."

[0289] This invention significantly improves the user experience and enables sellers to provide optimal information to each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0290] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0291] Step 1:

[0292] The user accesses the e-commerce service and performs initial registration. The user selects the information they value (e.g., price, brand, reviews, etc.) and sends this configuration information to the system. The user's valued information is input, and the server receives this information and stores it in a database. Specifically, the information is sent to the server when the user presses the "Complete Configuration" button.

[0293] Step 2:

[0294] A seller registers a new product. They enter detailed information such as the product ID, price, brand, reviews, and color, and send it to the server. The input is detailed product information, which the server receives and stores in the database. Specifically, the seller submits a form to enter product information and presses the "Register" button.

[0295] Step 3:

[0296] Users provide emotional data during the purchasing process. Text input and emotional data from sensors are sent to the server via the device. The user's emotional data is input, and the server sends the information to the emotion engine. A specific example of this behavior is when a user enters a text comment.

[0297] Step 4:

[0298] When a user views a specific product page, the terminal sends the user ID and product ID to the server. The user ID and product ID are input, and the server receives them and retrieves the corresponding information from the database. In concrete terms, when a user views a product page, that information is sent to the server.

[0299] Step 5:

[0300] The server sends the received emotion data to the emotion engine. The emotion engine analyzes the data and determines the user's emotional state. The emotion data is input, and the analyzed emotional state is returned to the server as output. A specific example of this behavior is when the emotion engine determines the emotion as "joy."

[0301] Step 6:

[0302] The server generates a personalized message based on the user's settings, product information, and emotional data. The inputs are user settings, product information, and emotional state, and the output is a personalized message. Specifically, the following message is generated:

[0303] Here are some products you'll love:

[0304] Price: $100

[0305] Brand: XYZ

[0306] Review: 4.5 stars

[0307] Step 7:

[0308] The server sends the generated personalized message to the terminal. The terminal displays this message to the user. The input is the personalized message, and the output is the user confirming the message on the terminal. The specific operation is that the above message is displayed on the user's screen.

[0309] At each step, it is clear how the input data is processed or calculated and how the output data is generated, and this series of processes can improve the user experience.

[0310] (Application example 2)

[0311] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0312] In e-commerce, it is difficult to provide product information that accurately meets the needs of each individual user. Furthermore, existing personalization systems are unable to consider the user's emotional state, leaving challenges in improving the user experience. Furthermore, there is a lack of a method to effectively combine various pieces of information that users value and generate and display personalized messages that respond to their emotions.

[0313] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for setting information that the user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message based on the user's emotional data, means for recognizing the user's emotions using an image input device of the user's terminal, means for transmitting the emotion recognition result to the server, and means for the server to generate a personalized message and transmit it to the user's terminal. This enables the generation and display of a personalized message with higher accuracy, taking the user's emotional state into consideration.

[0314] A "means for pre-setting user-important information" is a system component that provides a function for a user to select or input their purchasing criteria (e.g., price, brand, reviews, etc.) during initial setup.

[0315] The "means for storing detailed product information" is a system component that provides a function for storing detailed product information (e.g., price, brand, reviews, color, etc.) in a database or recording device.

[0316] The "means for matching important information set by a user with detailed product information and generating a personalized message based on the user's emotional data" is a system component that provides a function for matching important information set by a user with saved detailed product information and generating a customized message according to the user's emotional state.

[0317] "Means for recognizing a user's emotions using an image input device on the user's terminal" is a system component that provides a function for determining the user's emotional state by acquiring an image of the user's face or facial expression via a camera or the like and analyzing it.

[0318] The "means for transmitting emotion recognition results to a server" is a system component that provides a communication function for transmitting emotion data recognized on a user's terminal to a server.

[0319] "Means for the server to generate a personalized message and send it to the user's terminal" is a system component that provides a function for the server to generate a message based on information and emotional data that the user values ​​and send that message to the user's terminal.

[0320] The present invention is a system that analyzes user emotions in e-commerce and provides personalized product information according to those emotions. This system is mainly composed of the following components:

[0321] 1. User Device:

[0322] A user's device such as a smartphone or personal computer.

[0323] An image input device (e.g., a camera) is connected to the terminal to acquire the user's facial image and facial expression.

[0324] During initial setup, users set the information they value (price, brand, reviews, etc.).

[0325] 2. Emotion Recognition Engine:

[0326] Software that analyzes image data acquired from the camera on the user's device and recognizes the user's emotional state (happiness, sadness, surprise, etc.).

[0327] Specifically, the EmotionRecognizer library is used to analyze camera footage in real time.

[0328] 3. Server:

[0329] It stores and manages important information, detailed product information, and emotional data sent from the user's device.

[0330] The server uses a database to efficiently store and collate information related to each user.

[0331] Based on the emotion data sent from the emotion recognition engine, a personalized message is generated and sent to the user's device. The generated message is adapted to the information and emotional state that the user values.

[0332] 4. Generate personalized messages:

[0333] The server compares the information that the user values ​​with detailed product information and generates a message that reflects the emotional data.

[0334] For example, if user ID "user123" values ​​price, brand, and reviews, and the detailed information for product ID "product456" is the price "100 dollars," the brand is "general brand," the reviews are "4.5 stars," and the user's emotion is recognized as "delighted," the following message will be generated:

[0335] Here are some products you'll love:

[0336] Price: $100

[0337] Brand: General brand

[0338] Review: 4.5 stars

[0339] This personalized message is displayed on the user's terminal.

[0340] Through the above process, it is possible to provide a personalized message that takes into account the user's emotions and is more suited to the user, which is expected to improve the user experience and make transactions more efficient.

[0341] Specific hardware and software used:

[0342] Hardware:

[0343] Smartphones, tablets, personal computers, cameras (image input devices)

[0344] software:

[0345] EmotionRecognizer library (for emotion recognition)

[0346] Web server and database management system (for data storage and management)

[0347] HTTP request library (for data communication)

[0348] Example prompt for a generative AI model:

[0349] Analyze the user's facial expressions to determine their emotions and return the results. This can be done using the following data:

[0350] Camera ID: 0

[0351] Recognized emotions: joy, sadness, surprise, anger, fear, disgust, neutral

[0352] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0353] Step 1:

[0354] When a user initially configures an e-commerce service, the terminal provides an interface for inputting information that the user values ​​(e.g., price, brand, reviews, etc.). The information entered here is sent from the terminal to the server, which then stores this data in a database as a user profile. The input of this step is the user's valued information, and the output is the user profile stored on the server.

[0355] Step 2:

[0356] When a user browses a product page, the device's image input device (camera) captures the user's facial image and facial expression data. The emotion data is analyzed using the EmotionRecognizer library. The input is the captured facial image and facial expression data, and the output is the analyzed emotional data. It is important that this data is captured in real time.

[0357] Step 3:

[0358] The device sends the analyzed user emotional data to the server, which receives the emotional data and temporarily stores it in a database as the user's current emotional state. The input of this step is the emotional data, and the output is the emotional state stored on the server.

[0359] Step 4:

[0360] When a user views the details page of a specific product, the device sends the user ID and product ID to the server. The server receives this request and retrieves the user's important information, product details, and emotion data from the database. The inputs to this step are the user ID and product ID, and the outputs are the retrieved important information, product details, and emotion data.

[0361] Step 5:

[0362] The server compares the information the user values ​​with the product details based on the acquired data, and then generates a personalized message taking into account emotional data. For example, if user ID "user123" values ​​price, brand, and reviews, and the product ID "product456" details price "$100," brand "general brand," and review "4.5 stars," and the user's emotion is recognized as "delighted," the server generates the following message: "We'd like to introduce a product that will delight you: Price: $100 Brand: Generic Brand Review: 4.5 stars." The input for this step is the acquired user preferences, product details, and emotional data, and the output is the generated personalized message.

[0363] Step 6:

[0364] The server sends the generated personalized message to the user's terminal, which displays the message in real time and provides it to the user. The input of this step is the generated personalized message, and the output is the personalized message displayed to the user.

[0365] Through the above steps, a personalized message that takes into account the user's emotions can be provided, improving the user experience.

[0366] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0367] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0368] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0369] [Second embodiment]

[0370] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0371] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0372] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0373] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0374] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0375] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0376] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0377] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0378] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0379] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0380] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0381] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0382] MODE FOR CARRYING OUT THE INVENTION

[0383] This invention relates to a system that provides personalized product information for each user in e-commerce. This system operates among the user, terminal, and server, and performs a series of processes to set information that the user values ​​in advance, and then compare it with detailed product information to generate a personalized message.

[0384] User

[0385] When using an e-commerce service, users first set the information they value (such as price, brand, reviews, etc.). This is done when they initially register with the system. This setting information is saved on the server and used when browsing products thereafter. The information that users value can be changed, and users can reset it as their needs change.

[0386] server

[0387] The server receives and stores the information that the user values. Product details are also stored on the server. When a new product is added, the product ID and its corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in a database and uses it for later matching.

[0388] Terminal

[0389] When a user views a specific product page, the device sends the user ID and product ID to the server. The server receives this and performs a process to match the information the user values ​​with detailed product information. Specifically, it checks whether the information the user values ​​(price, brand, reviews, etc.) exists in the product information and extracts any matching information.

[0390] Generate personalized messages

[0391] The server generates a personalized message based on the results of comparing the user's settings and product information. This message contains only the information the user cares about and is sent to the device in a format that is easy for the user to understand. The device receives the message and displays it to the user.

[0392] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is price: $100, brand: XYZ, reviews: 4.5 stars, and color: red. In this case, the server will match the product information based on the information the user values ​​(price, brand, reviews) and generate the following message:

[0393] Price: $100

[0394] Brand: XYZ

[0395] Review: 4.5 stars

[0396] This personalized message is displayed on the user's device, allowing the user to quickly check the information that is important to them and efficiently select products.

[0397] The system of the present invention improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0398] The processing flow will be explained below.

[0399] Step 1:

[0400] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0401] Step 2:

[0402] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0403] Step 3:

[0404] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0405] Step 4:

[0406] The server receives the detailed product information and stores it in a database.

[0407] Step 5:

[0408] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0409] Step 6:

[0410] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0411] Step 7:

[0412] The server compares the information that the user values ​​(price, brand, reviews, etc.) with detailed product information and extracts matching information.

[0413] Step 8:

[0414] The server generates a personalized message based on the matching results, which contains only the information the user cares about and is written in a format that is easy for the user to understand.

[0415] Step 9:

[0416] The server transmits the generated personalized message to the terminal.

[0417] Step 10:

[0418] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0419] This series of processes allows users to quickly and easily view only the information that is important to them.

[0420] Example 1

[0421] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0422] Conventional e-commerce systems have faced challenges in making it difficult for users to efficiently obtain product information that best suits them from a large number of products. Furthermore, product information may not reflect the information users value, resulting in a poor user experience. Furthermore, it is difficult for sellers to provide appropriate product information for each user.

[0423] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0424] In this invention, the server includes means for searching a database for information that a user values, means for searching a database for detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message, and means for transmitting the generated personalized message to the user's terminal, thereby making it possible to provide product information based on the information that the user values.

[0425] "User" refers to a person who uses an electronic commerce system to obtain product information and make a purchase.

[0426] "Important information" refers to information items that users consider particularly important when selecting a product, such as price, brand, and reviews.

[0427] "Product details" refers to specific information about a product, such as price, brand, reviews, color, etc.

[0428] A "personalized message" refers to product information that is generated based on information that the user values ​​and is provided to the user.

[0429] "Terminal" refers to a device that a user uses to access the system and view product information, such as a PC, smartphone, or tablet.

[0430] The term "server" refers to a computer system that stores information important to users and detailed product information, generates personalized messages based on this information, and sends them to terminals.

[0431] A "database" refers to a system within a server that organizes and stores data such as information that users value and detailed product information.

[0432] "User ID" refers to an identifier for individually identifying a user.

[0433] "Product ID" refers to an identifier for uniquely identifying a product.

[0434] A "generative AI model" refers to an algorithm or program that generates personalized messages based on user priorities and product details.

[0435] A "prompt" is a textual instruction entered into a generative AI model to specify what message the model should generate.

[0436] MODE FOR CARRYING OUT THE INVENTION

[0437] The present invention relates to a system for providing personalized product information for each user in electronic commerce. This system is composed of the following elements:

[0438] User

[0439] When initially registering with an e-commerce service, users set the information they value (such as price, brand, reviews, etc.). Settings are made using a user interface provided on the browser. The set information is sent from the terminal to the server, which stores it in a database. This information is used later when browsing products. Users can reset the information they value according to their needs.

[0440] server

[0441] The server is responsible for:

[0442] 1. Save the information that the user has set as important.

[0443] 2. Store product details (e.g. price, brand, reviews, color, etc.) in a database. Every time a new product is added, the product ID and details are registered.

[0444] 3. When a product page is viewed, the user ID and product ID are received, and the information the user values ​​is searched for and matched with detailed product information from the database.

[0445] 4. Based on the match, a personalized message is generated and sent to the user's device, containing only the information the user values.

[0446] Terminal

[0447] The device (e.g., computer, smartphone, tablet) performs the following actions:

[0448] 1. Provide a user interface for users to enter important information during initial registration.

[0449] 2. When viewing a specific product page, the user ID and product ID are sent to the server.

[0450] 3. Receives the personalized message sent by the server and displays it to the user.

[0451] As a concrete example, let's say the user ID is "user123" and the user prioritizes price, brand, and reviews. Also, let's say the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, the server will match the product information based on the information the user prioritizes (price, brand, and reviews) and generate the following message:

[0452] Price: $100

[0453] Brand: XYZ

[0454] Review: 4.5 stars

[0455] Generative AI model and prompts

[0456] The generative AI model generates personalized messages based on the user's priorities and product information. The prompt sentence is used as input for the generative AI model.

[0457] Example prompt sentence:

[0458] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0459] The personalized message thus generated is sent to the terminal and displayed to the user, allowing the user to quickly obtain the necessary information and efficiently select products.

[0460] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0461] Program processing flow

[0462] Step 1:

[0463] Setting user-important information

[0464] The user sets the information they value (e.g., price, brand, reviews, etc.) during initial registration. This setting is done through the device's user interface. The data entered is the information the user selected as important, and is sent from the device to the server. The server stores this information in a database.

[0465] Specific operation: The user accesses the form on a browser, selects important information items using checkboxes or radio buttons, and presses the "Submit" button. Input: Important information selected by the user. Output: Important information sent to the server.

[0466] Step 2:

[0467] Saving user configuration information

[0468] The server receives the user's important information sent from the device and stores it in a database, which stores the user ID and important information.

[0469] Specific operation: The server receives the data sent as an HTTP POST request and executes an INSERT statement in the database to save the information. Input: Information that the user values ​​received from the terminal. Output: Information that the user values ​​saved in the database.

[0470] Step 3:

[0471] Registering product information

[0472] When a seller or system administrator registers a new product, they enter the product ID and details (e.g. price, brand, reviews, color, etc.), which the server stores in the database.

[0473] Specific operation: Product details are entered via the administrator interface and sent to the server via an HTTP request. The server receives this and inserts the product information into the database. Input: Product details registered by the seller. Output: Product information saved in the database.

[0474] Step 4:

[0475] Viewing product pages

[0476] When a user views a specific product page, the device sends the user ID and product ID to the server, which then searches the database for the information the user cares about and detailed product information.

[0477] Specific operation: When a user opens a product web page, the user ID and product ID are sent to the server using JavaScript. The server receives this and uses an SQL SELECT statement to retrieve the required information from the database. Input: User ID and product ID sent when opening the product page. Output: Information important to the user and detailed product information retrieved from the database.

[0478] Step 5:

[0479] Generate personalized messages

[0480] The server compares the user's important information with the product details and generates a personalized message that includes only the information the user considers important.

[0481] Specific operation: The server combines the retrieved information to create a personalized message. The SQL results are processed within the program to generate a message in a specific format. Input: Information that the user values ​​and detailed product information retrieved from the database. Output: A personalized message.

[0482] Step 6:

[0483] Send and display personalized messages

[0484] The generated personalized message is sent from the server to the terminal, which receives it and displays it to the user.

[0485] Specific operation: The server sends a personalized message as an HTTP response. The device parses the response using JavaScript or similar and displays the message in the user interface. Input: The personalized message sent from the server. Output: The personalized message displayed on the user's device.

[0486] Example prompt sentence

[0487] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0488]

[0489] (Application example 1)

[0490] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0491] Conventional e-commerce systems have the problem that users cannot easily obtain product information that suits them, resulting in a long time required for purchasing decisions. In particular, when there are many products available, users can become confused in the process of selecting a product based on the information they value (e.g., price, brand, reviews, etc.). Furthermore, because user needs change, it is necessary to provide personalized information based on the latest information, but few systems can achieve this. The present invention aims to solve these problems and improve the user experience.

[0492] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0493] In this invention, the server includes means for setting information that a user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a message personalized for the user, means for allowing the user to change the information that the user values ​​through an interface, and means for generating a personalized product list. This enables the user to efficiently select products based on the information that the user values, speeding up purchasing decision-making in e-commerce and enabling quick response to changing needs.

[0494] "Means for pre-setting information that users value" is a function that allows users to pre-set criteria that they value, including price, brand, reviews, etc., into the system.

[0495] The "means for storing detailed product information" is a function for storing detailed attribute information such as price, brand, reviews, and color for each product in a database or server.

[0496] "Means for matching the important information set by the user with detailed product information and generating a message personalized for the user" refers to a function for comparing the criteria set by the user with attribute information of a product and creating a message customized for the user based on that.

[0497] "Means for allowing the user to change the information that they consider important through the interface" refers to a function that allows the user to change the information that they consider important through the interface of an application or website, even after the initial settings have been made.

[0498] The "means for generating a personalized product list" is a function for creating a list for selecting and displaying optimal products based on information that the user values.

[0499] The present invention specifically realizes an electronic commerce system for providing users with personalized product information. This system is composed of users, terminals, and a server, each of which has a specific function.

[0500] System configuration

[0501] 1. User Part:

[0502] Users install the dedicated application on their smartphone or other device, and when they first start it up, they set the information they value (price, brand, reviews, etc.) There are multiple options for users to choose from.

[0503] Furthermore, the user can change the information that is important at any time from the setting screen.

[0504] 2. Terminal part:

[0505] When a user browses a product, the user's device (such as a smartphone or tablet) sends the product ID to the server, along with the user ID.

[0506] The terminal is responsible for displaying the personalized message received from the server.

[0507] 3. Server part:

[0508] The server is built with a backend application using Node.js and Express, and stores product and user information in MongoDB.

[0509] The system stores the setting information sent by the user, and when the user views a product, it compares the setting information with the product's detailed information. It also generates a personalized message based on the comparison result and returns it to the device.

[0510] Processing flow

[0511] User Registration:

[0512] When a user opens the application, they enter important information on the initial setup screen, which is sent to the server along with their user ID.

[0513] Information storage:

[0514] The server stores the received information in MongoDB, and also stores details of each new product (price, brand, reviews, etc.) whenever it is added.

[0515] Product View:

[0516] When a user views a particular product, they send their user ID and product ID to the server, which receives this information, matches the user's priorities with the product details, and generates a personalized message for the user (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.).

[0517] Message Generation:

[0518] The server sends the generated personalized message to the terminal, which receives it and displays it on the screen.

[0519] Specific examples

[0520] For example, if a user has set price and reviews as important, and they browse to "Smartphone ABC", the server will respond with:

[0521] Price: $500

[0522] Review: 4.5 stars

[0523] Example prompt for a generative AI model:

[0524] 1. "Generate a personalized product list based on the user's most important information (price, brand, reviews). User ID is 'user123', product ID is 'product456'."

[0525] 2. "Personalize product information and generate messaging for users who care about price, brand, and reviews."

[0526] This system allows users to easily receive product information based on their priorities, enabling them to make purchasing decisions quickly and efficiently. Furthermore, users can change settings according to their needs, making it possible to always receive the latest personalized information.

[0527] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0528] Step 1:

[0529] User Registration

[0530] Input: A user installs an e-commerce application and enters important information (price, brand, reviews, etc.) when first launched.

[0531] Processing: The information entered by the user is obtained through the front-end UI component and sent to the server as a POST request along with the user ID.

[0532] Output: The server receives this and stores the important information and the user ID in a database (MongoDB).

[0533] Step 2:

[0534] Registering product information

[0535] Input: When an administrator adds a new product to the system, they input the product details (price, brand, reviews, etc.).

[0536] Processing: Retrieve product details from the backend admin interface and store them in MongoDB along with the product ID.

[0537] Output: The product details are saved in a database for the user to access later.

[0538] Step 3:

[0539] Submitting a product viewing request

[0540] Input: When a user opens a specific product page, they press the view button.

[0541] Processing: The device sends a request containing the user ID and product ID to the server. The request is executed as an HTTP GET request.

[0542] Output: The server receives the user ID and product ID and starts the process of retrieving the relevant information from the database.

[0543] Step 4:

[0544] Matching user information with product information

[0545] Input: User ID and product ID sent to the server.

[0546] Processing: The server retrieves the user's important information and product details from MongoDB. For example, if the user's important information is price and reviews, the server extracts the product's price and review information.

[0547] Output: Generate a personalized message based on the extracted information.

[0548] Step 5:

[0549] Generate personalized messages

[0550] Input: Matched user's key information and product details.

[0551] Processing: Based on the important information, the server generates a personalized message in text format (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.) in a format that is easy for the user to understand.

[0552] Output: Sends the generated personalized message in JSON format to the device.

[0553] Step 6:

[0554] Displaying messages

[0555] Input: Personalized message sent from the server (JSON format).

[0556] Processing: The device parses the received message and displays it appropriately in the user's UI. Use a library such as React Native to display the message on the screen.

[0557] Output: The user can see the personalized product information on the screen.

[0558] This series of processes enables the user to quickly obtain product information based on the information that is most important to him or her, and to make purchasing decisions efficiently.

[0559] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0560] MODE FOR CARRYING OUT THE INVENTION

[0561] The present invention relates to a system for providing personalized product information for each user in electronic commerce, and also includes an emotion engine that recognizes the user's emotions and generates a personalized message according to the emotions. This system operates among four parties: the user, the terminal, the server, and the emotion engine, and performs a series of processes to generate a personalized message by comparing detailed product information based on the information the user values ​​and the user's emotions.

[0562] User

[0563] When using an e-commerce service, users first set the information they value (e.g., price, brand, reviews, etc.). This is done during initial registration with the system, and this setting information is saved on the server. Furthermore, during the purchasing process, users provide emotional data through text input or sensors. This emotional data is analyzed by the emotion engine.

[0564] server

[0565] The server receives the important information and emotion data sent by the user and stores them in a database. Product details are also stored on the server. When a new product is added, the product ID and corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching.

[0566] Terminal

[0567] When a user views a specific product page, the device sends the user ID and the product ID to the server. The server receives this information and performs a process to match the important information set by the user with the detailed product information.

[0568] Emotion Engine

[0569] The emotion engine analyzes the emotional data received from the user. Based on the analysis results, it determines the user's emotional state and sends that information to the server. The server then compares the information the user values ​​with detailed product information and generates a personalized message based on the emotional data.

[0570] Generate personalized messages

[0571] The server compares the user's settings with the product information and generates a personalized message that reflects the emotional data from the emotion engine. This message includes information that the user values ​​and is adjusted according to the user's emotions. This personalized message is then sent to the user's device and displayed.

[0572] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0573] Here are some products you'll love:

[0574] Price: $100

[0575] Brand: XYZ

[0576] Review: 4.5 stars

[0577] This personalized message is displayed on the user's device, allowing the user to quickly and easily view information that is relevant to their interests and emotions.

[0578] The system of the present invention further improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0579] The processing flow will be explained below.

[0580] Step 1:

[0581] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0582] Step 2:

[0583] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0584] Step 3:

[0585] When users browse products, they provide emotion data through text input or sensors, which the device then sends to the emotion engine.

[0586] Step 4:

[0587] The emotion engine analyzes the emotion data received from the user and determines the user's emotional state (e.g., joy, sadness, anger, etc.), and sends the result to the server.

[0588] Step 5:

[0589] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0590] Step 6:

[0591] The server receives the detailed product information and stores it in a database.

[0592] Step 7:

[0593] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0594] Step 8:

[0595] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0596] Step 9:

[0597] The server matches user-focused information with product details and extracts matching information, including price, brand, reviews, etc.

[0598] Step 10:

[0599] The server also takes into account emotional data from the emotion engine to generate personalized messages, for example, adding positive expressions to the message if the user is in a "joy" emotional state.

[0600] Step 11:

[0601] The server transmits the generated personalized message to the terminal.

[0602] Step 12:

[0603] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0604] This series of processes enables users to quickly and easily view product information based on the information and emotions that they value.

[0605] Example 2

[0606] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0607] Conventional e-commerce systems can provide personalized product information based on user-important information, but they have not provided personalized messages that take into account the user's emotional state. As a result, the improvement of the user experience has been limited, and it has been difficult to fully stimulate the user's purchasing motivation. Therefore, there is a need to generate personalized messages that reflect the user's emotional state and improve the user experience.

[0608] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0609] In this invention, the server includes means for setting information that a user considers important in advance, means for saving detailed product information, means for receiving user emotion data, means for analyzing the emotion data, and means for comparing the information that the user considers important with the detailed product information and generating a personalized message that reflects the emotion data. This makes it possible to generate a personalized message that takes the user's emotional state into consideration, thereby improving the user experience.

[0610] "Information that users place importance on" refers to information that users place particular importance on when selecting a product, such as attribute information such as price, brand, and reviews.

[0611] "Detailed product information" is specific attribute information about a product, including information such as price, brand, reviews, and color.

[0612] "User emotional data" refers to data that represents the user's emotional state, and refers to information obtained through text input or sensors.

[0613] "Means for analyzing emotional data" refers to a mechanism or technology for analyzing a user's emotional data and determining their emotional state.

[0614] "Personalized messages" refer to messages that are individually customized based on the user's priorities and emotional state.

[0615] "Server" refers to the computer within the system that stores and processes user information, product information, and emotional data, and performs necessary data analysis.

[0616] A "terminal" is a device used by a user to access an e-commerce system, such as a personal computer or smartphone.

[0617] "Emotion engine" refers to a piece of software or hardware that receives and analyzes a user's emotion data.

[0618] MODE FOR CARRYING OUT THE INVENTION

[0619] The present invention is a system for providing personalized product information and emotional messages to each user in an electronic commerce system. This system operates among four parties: the user, a terminal, a server, and an emotion engine.

[0620] User

[0621] A user first accesses an e-commerce service and performs initial registration. Here, the user inputs and saves information that is important to them (e.g., price, brand, reviews, etc.). This information is sent to the server and stored. During the purchasing process, the user also provides emotional data using text input or sensors. This emotional data is then sent to the emotion engine via the server.

[0622] server

[0623] The server receives the important information and emotion data sent by the user and stores them in a database. Furthermore, when a new product is added, the product ID and corresponding detailed information (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching processes. Furthermore, when a user views a specific product page, the server receives the user ID and the ID of the product being viewed and performs a process to match the important information set by the user with the detailed product information.

[0624] Terminal

[0625] When a user browses a specific product page, the device sends the user ID and product ID to the server. It also provides emotional data about the user during the purchase process. The device then displays personalized messages sent from the server to the user.

[0626] Emotion Engine

[0627] The emotion engine analyzes the user's emotion data sent from the server to determine their emotional state, and the analysis results are returned to the server, which then generates a personalized message based on the data.

[0628] Generate personalized messages

[0629] The server compares the user's settings, product information, and emotional data, and generates a message that is tailored to the user's priorities and emotional state. This message is then sent to the terminal and displayed to the user.

[0630] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0631] Here are some products you'll love:

[0632] Price: $100

[0633] Brand: XYZ

[0634] Review: 4.5 stars

[0635] This personalized message is displayed on the user's terminal.

[0636] Example prompts to input to the generative AI model

[0637] "Generate a description in Japanese for the following paragraph. Generate a personalized message for the user ID "user123" who prioritizes price, brand, and reviews, and for the product ID "product456" whose detailed information is price "$100", brand "XYZ", review "4.5 stars", and color "red". The emotion data is determined to be "joy."

[0638] This invention significantly improves the user experience and enables sellers to provide optimal information to each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0639] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0640] Step 1:

[0641] The user accesses the e-commerce service and performs initial registration. The user selects the information they value (e.g., price, brand, reviews, etc.) and sends this configuration information to the system. The user's valued information is input, and the server receives this information and stores it in a database. Specifically, the information is sent to the server when the user presses the "Complete Configuration" button.

[0642] Step 2:

[0643] A seller registers a new product. They enter detailed information such as the product ID, price, brand, reviews, and color, and send it to the server. The input is detailed product information, which the server receives and stores in the database. Specifically, the seller submits a form to enter product information and presses the "Register" button.

[0644] Step 3:

[0645] Users provide emotional data during the purchasing process. Text input and emotional data from sensors are sent to the server via the device. The user's emotional data is input, and the server sends the information to the emotion engine. A specific example of this behavior is when a user enters a text comment.

[0646] Step 4:

[0647] When a user views a specific product page, the terminal sends the user ID and product ID to the server. The user ID and product ID are input, and the server receives them and retrieves the corresponding information from the database. In concrete terms, when a user views a product page, that information is sent to the server.

[0648] Step 5:

[0649] The server sends the received emotion data to the emotion engine. The emotion engine analyzes the data and determines the user's emotional state. The emotion data is input, and the analyzed emotional state is returned to the server as output. A specific example of this behavior is when the emotion engine determines the emotion as "joy."

[0650] Step 6:

[0651] The server generates a personalized message based on the user's settings, product information, and emotional data. The inputs are user settings, product information, and emotional state, and the output is a personalized message. Specifically, the following message is generated:

[0652] Here are some products you'll love:

[0653] Price: $100

[0654] Brand: XYZ

[0655] Review: 4.5 stars

[0656] Step 7:

[0657] The server sends the generated personalized message to the terminal. The terminal displays this message to the user. The input is the personalized message, and the output is the user confirming the message on the terminal. The specific operation is that the above message is displayed on the user's screen.

[0658] At each step, it is clear how the input data is processed or calculated and how the output data is generated, and this series of processes can improve the user experience.

[0659] (Application example 2)

[0660] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0661] In e-commerce, it is difficult to provide product information that accurately meets the needs of each individual user. Furthermore, existing personalization systems are unable to consider the user's emotional state, leaving challenges in improving the user experience. Furthermore, there is a lack of a method to effectively combine various pieces of information that users value and generate and display personalized messages that respond to their emotions.

[0662] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for setting information that the user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message based on the user's emotional data, means for recognizing the user's emotions using an image input device of the user's terminal, means for transmitting the emotion recognition result to the server, and means for the server to generate a personalized message and transmit it to the user's terminal. This enables the generation and display of a personalized message with higher accuracy, taking the user's emotional state into consideration.

[0663] A "means for pre-setting user-important information" is a system component that provides a function for a user to select or input their purchasing criteria (e.g., price, brand, reviews, etc.) during initial setup.

[0664] The "means for storing detailed product information" is a system component that provides a function for storing detailed product information (e.g., price, brand, reviews, color, etc.) in a database or recording device.

[0665] The "means for matching important information set by a user with detailed product information and generating a personalized message based on the user's emotional data" is a system component that provides a function for matching important information set by a user with saved detailed product information and generating a customized message according to the user's emotional state.

[0666] "Means for recognizing a user's emotions using an image input device on the user's terminal" is a system component that provides a function for determining the user's emotional state by acquiring an image of the user's face or facial expression via a camera or the like and analyzing it.

[0667] The "means for transmitting emotion recognition results to a server" is a system component that provides a communication function for transmitting emotion data recognized on a user's terminal to a server.

[0668] "Means for the server to generate a personalized message and send it to the user's terminal" is a system component that provides a function for the server to generate a message based on information and emotional data that the user values ​​and send that message to the user's terminal.

[0669] The present invention is a system that analyzes user emotions in e-commerce and provides personalized product information according to those emotions. This system is mainly composed of the following components:

[0670] 1. User Device:

[0671] A user's device such as a smartphone or personal computer.

[0672] An image input device (e.g., a camera) is connected to the terminal to acquire the user's facial image and facial expression.

[0673] During initial setup, users set the information they value (price, brand, reviews, etc.).

[0674] 2. Emotion Recognition Engine:

[0675] Software that analyzes image data acquired from the camera on the user's device and recognizes the user's emotional state (happiness, sadness, surprise, etc.).

[0676] Specifically, the EmotionRecognizer library is used to analyze camera footage in real time.

[0677] 3. Server:

[0678] It stores and manages important information, detailed product information, and emotional data sent from the user's device.

[0679] The server uses a database to efficiently store and collate information related to each user.

[0680] Based on the emotion data sent from the emotion recognition engine, a personalized message is generated and sent to the user's device. The generated message is adapted to the information and emotional state that the user values.

[0681] 4. Generate personalized messages:

[0682] The server compares the information that the user values ​​with detailed product information and generates a message that reflects the emotional data.

[0683] For example, if user ID "user123" values ​​price, brand, and reviews, and the detailed information for product ID "product456" is the price "100 dollars," the brand is "general brand," the reviews are "4.5 stars," and the user's emotion is recognized as "delighted," the following message will be generated:

[0684] Here are some products you'll love:

[0685] Price: $100

[0686] Brand: General brand

[0687] Review: 4.5 stars

[0688] This personalized message is displayed on the user's terminal.

[0689] Through the above process, it is possible to provide a personalized message that takes into account the user's emotions and is more suited to the user, which is expected to improve the user experience and make transactions more efficient.

[0690] Specific hardware and software used:

[0691] Hardware:

[0692] Smartphones, tablets, personal computers, cameras (image input devices)

[0693] software:

[0694] EmotionRecognizer library (for emotion recognition)

[0695] Web server and database management system (for data storage and management)

[0696] HTTP request library (for data communication)

[0697] Example prompt for a generative AI model:

[0698] Analyze the user's facial expressions to determine their emotions and return the results. This can be done using the following data:

[0699] Camera ID: 0

[0700] Recognized emotions: joy, sadness, surprise, anger, fear, disgust, neutral

[0701] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0702] Step 1:

[0703] When a user initially configures an e-commerce service, the terminal provides an interface for inputting information that the user values ​​(e.g., price, brand, reviews, etc.). The information entered here is sent from the terminal to the server, which then stores this data in a database as a user profile. The input of this step is the user's valued information, and the output is the user profile stored on the server.

[0704] Step 2:

[0705] When a user browses a product page, the device's image input device (camera) captures the user's facial image and facial expression data. The emotion data is analyzed using the EmotionRecognizer library. The input is the captured facial image and facial expression data, and the output is the analyzed emotional data. It is important that this data is captured in real time.

[0706] Step 3:

[0707] The device sends the analyzed user emotional data to the server, which receives the emotional data and temporarily stores it in a database as the user's current emotional state. The input of this step is the emotional data, and the output is the emotional state stored on the server.

[0708] Step 4:

[0709] When a user views the details page of a specific product, the device sends the user ID and product ID to the server. The server receives this request and retrieves the user's important information, product details, and emotion data from the database. The inputs to this step are the user ID and product ID, and the outputs are the retrieved important information, product details, and emotion data.

[0710] Step 5:

[0711] The server compares the information the user values ​​with the product details based on the acquired data, and then generates a personalized message taking into account emotional data. For example, if user ID "user123" values ​​price, brand, and reviews, and the product ID "product456" details price "$100," brand "general brand," and review "4.5 stars," and the user's emotion is recognized as "delighted," the server generates the following message: "We'd like to introduce a product that will delight you: Price: $100 Brand: Generic Brand Review: 4.5 stars." The input for this step is the acquired user preferences, product details, and emotional data, and the output is the generated personalized message.

[0712] Step 6:

[0713] The server sends the generated personalized message to the user's terminal, which displays the message in real time and provides it to the user. The input of this step is the generated personalized message, and the output is the personalized message displayed to the user.

[0714] Through the above steps, a personalized message that takes into account the user's emotions can be provided, improving the user experience.

[0715] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0716] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0717] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0718] [Third embodiment]

[0719] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0720] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0721] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0722] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0723] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0724] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0725] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0726] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0727] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0728] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0729] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0730] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0731] MODE FOR CARRYING OUT THE INVENTION

[0732] This invention relates to a system that provides personalized product information for each user in e-commerce. This system operates among the user, terminal, and server, and performs a series of processes to set information that the user values ​​in advance, and then compare it with detailed product information to generate a personalized message.

[0733] User

[0734] When using an e-commerce service, users first set the information they value (such as price, brand, reviews, etc.). This is done when they initially register with the system. This setting information is saved on the server and used when browsing products thereafter. The information that users value can be changed, and users can reset it as their needs change.

[0735] server

[0736] The server receives and stores the information that the user values. Product details are also stored on the server. When a new product is added, the product ID and its corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in a database and uses it for later matching.

[0737] Terminal

[0738] When a user views a specific product page, the device sends the user ID and product ID to the server. The server receives this and performs a process to match the information the user values ​​with detailed product information. Specifically, it checks whether the information the user values ​​(price, brand, reviews, etc.) exists in the product information and extracts any matching information.

[0739] Generate personalized messages

[0740] The server generates a personalized message based on the results of comparing the user's settings and product information. This message contains only the information the user cares about and is sent to the device in a format that is easy for the user to understand. The device receives the message and displays it to the user.

[0741] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is price: $100, brand: XYZ, reviews: 4.5 stars, and color: red. In this case, the server will match the product information based on the information the user values ​​(price, brand, reviews) and generate the following message:

[0742] Price: $100

[0743] Brand: XYZ

[0744] Review: 4.5 stars

[0745] This personalized message is displayed on the user's device, allowing the user to quickly check the information that is important to them and efficiently select products.

[0746] The system of the present invention improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0747] The processing flow will be explained below.

[0748] Step 1:

[0749] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0750] Step 2:

[0751] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0752] Step 3:

[0753] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0754] Step 4:

[0755] The server receives the detailed product information and stores it in a database.

[0756] Step 5:

[0757] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0758] Step 6:

[0759] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0760] Step 7:

[0761] The server compares the information that the user values ​​(price, brand, reviews, etc.) with detailed product information and extracts matching information.

[0762] Step 8:

[0763] The server generates a personalized message based on the matching results, which contains only the information the user cares about and is written in a format that is easy for the user to understand.

[0764] Step 9:

[0765] The server transmits the generated personalized message to the terminal.

[0766] Step 10:

[0767] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0768] This series of processes allows users to quickly and easily view only the information that is important to them.

[0769] Example 1

[0770] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0771] Conventional e-commerce systems have faced challenges in making it difficult for users to efficiently obtain product information that best suits them from a large number of products. Furthermore, product information may not reflect the information users value, resulting in a poor user experience. Furthermore, it is difficult for sellers to provide appropriate product information for each user.

[0772] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0773] In this invention, the server includes means for searching a database for information that a user values, means for searching a database for detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message, and means for transmitting the generated personalized message to the user's terminal, thereby making it possible to provide product information based on the information that the user values.

[0774] "User" refers to a person who uses an electronic commerce system to obtain product information and make a purchase.

[0775] "Important information" refers to information items that users consider particularly important when selecting a product, such as price, brand, and reviews.

[0776] "Product details" refers to specific information about a product, such as price, brand, reviews, color, etc.

[0777] A "personalized message" refers to product information that is generated based on information that the user values ​​and is provided to the user.

[0778] "Terminal" refers to a device that a user uses to access the system and view product information, such as a PC, smartphone, or tablet.

[0779] The term "server" refers to a computer system that stores information important to users and detailed product information, generates personalized messages based on this information, and sends them to terminals.

[0780] A "database" refers to a system within a server that organizes and stores data such as information that users value and detailed product information.

[0781] "User ID" refers to an identifier for individually identifying a user.

[0782] "Product ID" refers to an identifier for uniquely identifying a product.

[0783] A "generative AI model" refers to an algorithm or program that generates personalized messages based on user priorities and product details.

[0784] A "prompt" is a textual instruction entered into a generative AI model to specify what message the model should generate.

[0785] MODE FOR CARRYING OUT THE INVENTION

[0786] The present invention relates to a system for providing personalized product information for each user in electronic commerce. This system is composed of the following elements:

[0787] User

[0788] When initially registering with an e-commerce service, users set the information they value (such as price, brand, reviews, etc.). Settings are made using a user interface provided on the browser. The set information is sent from the terminal to the server, which stores it in a database. This information is used later when browsing products. Users can reset the information they value according to their needs.

[0789] server

[0790] The server is responsible for:

[0791] 1. Save the information that the user has set as important.

[0792] 2. Store product details (e.g. price, brand, reviews, color, etc.) in a database. Every time a new product is added, the product ID and details are registered.

[0793] 3. When a product page is viewed, the user ID and product ID are received, and the information the user values ​​is searched for and matched with detailed product information from the database.

[0794] 4. Based on the match, a personalized message is generated and sent to the user's device, containing only the information the user values.

[0795] Terminal

[0796] The device (e.g., computer, smartphone, tablet) performs the following actions:

[0797] 1. Provide a user interface for users to enter important information during initial registration.

[0798] 2. When viewing a specific product page, the user ID and product ID are sent to the server.

[0799] 3. Receives the personalized message sent by the server and displays it to the user.

[0800] As a concrete example, let's say the user ID is "user123" and the user prioritizes price, brand, and reviews. Also, let's say the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, the server will match the product information based on the information the user prioritizes (price, brand, and reviews) and generate the following message:

[0801] Price: $100

[0802] Brand: XYZ

[0803] Review: 4.5 stars

[0804] Generative AI model and prompts

[0805] The generative AI model generates personalized messages based on the user's priorities and product information. The prompt sentence is used as input for the generative AI model.

[0806] Example prompt sentence:

[0807] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0808] The personalized message thus generated is sent to the terminal and displayed to the user, allowing the user to quickly obtain the necessary information and efficiently select products.

[0809] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0810] Program processing flow

[0811] Step 1:

[0812] Setting user-important information

[0813] The user sets the information they value (e.g., price, brand, reviews, etc.) during initial registration. This setting is done through the device's user interface. The data entered is the information the user selected as important, and is sent from the device to the server. The server stores this information in a database.

[0814] Specific operation: The user accesses the form on a browser, selects important information items using checkboxes or radio buttons, and presses the "Submit" button. Input: Important information selected by the user. Output: Important information sent to the server.

[0815] Step 2:

[0816] Saving user configuration information

[0817] The server receives the user's important information sent from the device and stores it in a database, which stores the user ID and important information.

[0818] Specific operation: The server receives the data sent as an HTTP POST request and executes an INSERT statement in the database to save the information. Input: Information that the user values ​​received from the terminal. Output: Information that the user values ​​saved in the database.

[0819] Step 3:

[0820] Registering product information

[0821] When a seller or system administrator registers a new product, they enter the product ID and details (e.g. price, brand, reviews, color, etc.), which the server stores in the database.

[0822] Specific operation: Product details are entered via the administrator interface and sent to the server via an HTTP request. The server receives this and inserts the product information into the database. Input: Product details registered by the seller. Output: Product information saved in the database.

[0823] Step 4:

[0824] Viewing product pages

[0825] When a user views a specific product page, the device sends the user ID and product ID to the server, which then searches the database for the information the user cares about and detailed product information.

[0826] Specific operation: When a user opens a product web page, the user ID and product ID are sent to the server using JavaScript. The server receives this and uses an SQL SELECT statement to retrieve the required information from the database. Input: User ID and product ID sent when opening the product page. Output: Information important to the user and detailed product information retrieved from the database.

[0827] Step 5:

[0828] Generate personalized messages

[0829] The server compares the user's important information with the product details and generates a personalized message that includes only the information the user considers important.

[0830] Specific operation: The server combines the retrieved information to create a personalized message. The SQL results are processed within the program to generate a message in a specific format. Input: Information that the user values ​​and detailed product information retrieved from the database. Output: A personalized message.

[0831] Step 6:

[0832] Send and display personalized messages

[0833] The generated personalized message is sent from the server to the terminal, which receives it and displays it to the user.

[0834] Specific operation: The server sends a personalized message as an HTTP response. The device parses the response using JavaScript or similar and displays the message in the user interface. Input: The personalized message sent from the server. Output: The personalized message displayed on the user's device.

[0835] Example prompt sentence

[0836] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[0837]

[0838] (Application example 1)

[0839] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0840] Conventional e-commerce systems have the problem that users cannot easily obtain product information that suits them, resulting in a long time required for purchasing decisions. In particular, when there are many products available, users can become confused in the process of selecting a product based on the information they value (e.g., price, brand, reviews, etc.). Furthermore, because user needs change, it is necessary to provide personalized information based on the latest information, but few systems can achieve this. The present invention aims to solve these problems and improve the user experience.

[0841] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0842] In this invention, the server includes means for setting information that a user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a message personalized for the user, means for allowing the user to change the information that the user values ​​through an interface, and means for generating a personalized product list. This enables the user to efficiently select products based on the information that the user values, speeding up purchasing decision-making in e-commerce and enabling quick response to changing needs.

[0843] "Means for pre-setting information that users value" is a function that allows users to pre-set criteria that they value, including price, brand, reviews, etc., into the system.

[0844] The "means for storing detailed product information" is a function for storing detailed attribute information such as price, brand, reviews, and color for each product in a database or server.

[0845] "Means for matching the important information set by the user with detailed product information and generating a message personalized for the user" refers to a function for comparing the criteria set by the user with attribute information of a product and creating a message customized for the user based on that.

[0846] "Means for allowing the user to change the information that they consider important through the interface" refers to a function that allows the user to change the information that they consider important through the interface of an application or website, even after the initial settings have been made.

[0847] The "means for generating a personalized product list" is a function for creating a list for selecting and displaying optimal products based on information that the user values.

[0848] The present invention specifically realizes an electronic commerce system for providing users with personalized product information. This system is composed of users, terminals, and a server, each of which has a specific function.

[0849] System configuration

[0850] 1. User Part:

[0851] Users install the dedicated application on their smartphone or other device, and when they first start it up, they set the information they value (price, brand, reviews, etc.) There are multiple options for users to choose from.

[0852] Furthermore, the user can change the information that is important at any time from the setting screen.

[0853] 2. Terminal part:

[0854] When a user browses a product, the user's device (such as a smartphone or tablet) sends the product ID to the server, along with the user ID.

[0855] The terminal is responsible for displaying the personalized message received from the server.

[0856] 3. Server part:

[0857] The server is built with a backend application using Node.js and Express, and stores product and user information in MongoDB.

[0858] The system stores the setting information sent by the user, and when the user views a product, it compares the setting information with the product's detailed information. It also generates a personalized message based on the comparison result and returns it to the device.

[0859] Processing flow

[0860] User Registration:

[0861] When a user opens the application, they enter important information on the initial setup screen, which is sent to the server along with their user ID.

[0862] Information storage:

[0863] The server stores the received information in MongoDB, and also stores details of each new product (price, brand, reviews, etc.) whenever it is added.

[0864] Product View:

[0865] When a user views a particular product, they send their user ID and product ID to the server, which receives this information, matches the user's priorities with the product details, and generates a personalized message for the user (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.).

[0866] Message Generation:

[0867] The server sends the generated personalized message to the terminal, which receives it and displays it on the screen.

[0868] Specific examples

[0869] For example, if a user has set price and reviews as important, and they browse to "Smartphone ABC", the server will respond with:

[0870] Price: $500

[0871] Review: 4.5 stars

[0872] Example prompt for a generative AI model:

[0873] 1. "Generate a personalized product list based on the user's most important information (price, brand, reviews). User ID is 'user123', product ID is 'product456'."

[0874] 2. "Personalize product information and generate messaging for users who care about price, brand, and reviews."

[0875] This system allows users to easily receive product information based on their priorities, enabling them to make purchasing decisions quickly and efficiently. Furthermore, users can change settings according to their needs, making it possible to always receive the latest personalized information.

[0876] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0877] Step 1:

[0878] User Registration

[0879] Input: A user installs an e-commerce application and enters important information (price, brand, reviews, etc.) when first launched.

[0880] Processing: The information entered by the user is obtained through the front-end UI component and sent to the server as a POST request along with the user ID.

[0881] Output: The server receives this and stores the important information and the user ID in a database (MongoDB).

[0882] Step 2:

[0883] Registering product information

[0884] Input: When an administrator adds a new product to the system, they input the product details (price, brand, reviews, etc.).

[0885] Processing: Retrieve product details from the backend admin interface and store them in MongoDB along with the product ID.

[0886] Output: The product details are saved in a database for the user to access later.

[0887] Step 3:

[0888] Submitting a product viewing request

[0889] Input: When a user opens a specific product page, they press the view button.

[0890] Processing: The device sends a request containing the user ID and product ID to the server. The request is executed as an HTTP GET request.

[0891] Output: The server receives the user ID and product ID and starts the process of retrieving the relevant information from the database.

[0892] Step 4:

[0893] Matching user information with product information

[0894] Input: User ID and product ID sent to the server.

[0895] Processing: The server retrieves the user's important information and product details from MongoDB. For example, if the user's important information is price and reviews, the server extracts the product's price and review information.

[0896] Output: Generate a personalized message based on the extracted information.

[0897] Step 5:

[0898] Generate personalized messages

[0899] Input: Matched user's key information and product details.

[0900] Processing: Based on the important information, the server generates a personalized message in text format (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.) in a format that is easy for the user to understand.

[0901] Output: Sends the generated personalized message in JSON format to the device.

[0902] Step 6:

[0903] Displaying messages

[0904] Input: Personalized message sent from the server (JSON format).

[0905] Processing: The device parses the received message and displays it appropriately in the user's UI. Use a library such as React Native to display the message on the screen.

[0906] Output: The user can see the personalized product information on the screen.

[0907] This series of processes enables the user to quickly obtain product information based on the information that is most important to him or her, and to make purchasing decisions efficiently.

[0908] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0909] MODE FOR CARRYING OUT THE INVENTION

[0910] The present invention relates to a system for providing personalized product information for each user in electronic commerce, and also includes an emotion engine that recognizes the user's emotions and generates a personalized message according to the emotions. This system operates among four parties: the user, the terminal, the server, and the emotion engine, and performs a series of processes to generate a personalized message by comparing detailed product information based on the information the user values ​​and the user's emotions.

[0911] User

[0912] When using an e-commerce service, users first set the information they value (e.g., price, brand, reviews, etc.). This is done during initial registration with the system, and this setting information is saved on the server. Furthermore, during the purchasing process, users provide emotional data through text input or sensors. This emotional data is analyzed by the emotion engine.

[0913] server

[0914] The server receives the important information and emotion data sent by the user and stores them in a database. Product details are also stored on the server. When a new product is added, the product ID and corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching.

[0915] Terminal

[0916] When a user views a specific product page, the device sends the user ID and the product ID to the server. The server receives this information and performs a process to match the important information set by the user with the detailed product information.

[0917] Emotion Engine

[0918] The emotion engine analyzes the emotional data received from the user. Based on the analysis results, it determines the user's emotional state and sends that information to the server. The server then compares the information the user values ​​with detailed product information and generates a personalized message based on the emotional data.

[0919] Generate personalized messages

[0920] The server compares the user's settings with the product information and generates a personalized message that reflects the emotional data from the emotion engine. This message includes information that the user values ​​and is adjusted according to the user's emotions. This personalized message is then sent to the user's device and displayed.

[0921] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0922] Here are some products you'll love:

[0923] Price: $100

[0924] Brand: XYZ

[0925] Review: 4.5 stars

[0926] This personalized message is displayed on the user's device, allowing the user to quickly and easily view information that is relevant to their interests and emotions.

[0927] The system of the present invention further improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0928] The processing flow will be explained below.

[0929] Step 1:

[0930] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[0931] Step 2:

[0932] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[0933] Step 3:

[0934] When users browse products, they provide emotion data through text input or sensors, which the device then sends to the emotion engine.

[0935] Step 4:

[0936] The emotion engine analyzes the emotion data received from the user and determines the user's emotional state (e.g., joy, sadness, anger, etc.), and sends the result to the server.

[0937] Step 5:

[0938] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[0939] Step 6:

[0940] The server receives the detailed product information and stores it in a database.

[0941] Step 7:

[0942] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[0943] Step 8:

[0944] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[0945] Step 9:

[0946] The server matches user-focused information with product details and extracts matching information, including price, brand, reviews, etc.

[0947] Step 10:

[0948] The server also takes into account emotional data from the emotion engine to generate personalized messages, for example, adding positive expressions to the message if the user is in a "joy" emotional state.

[0949] Step 11:

[0950] The server transmits the generated personalized message to the terminal.

[0951] Step 12:

[0952] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[0953] This series of processes enables users to quickly and easily view product information based on the information and emotions that they value.

[0954] Example 2

[0955] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0956] Conventional e-commerce systems can provide personalized product information based on user-important information, but they have not provided personalized messages that take into account the user's emotional state. As a result, the improvement of the user experience has been limited, and it has been difficult to fully stimulate the user's purchasing motivation. Therefore, there is a need to generate personalized messages that reflect the user's emotional state and improve the user experience.

[0957] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0958] In this invention, the server includes means for setting information that a user considers important in advance, means for saving detailed product information, means for receiving user emotion data, means for analyzing the emotion data, and means for comparing the information that the user considers important with the detailed product information and generating a personalized message that reflects the emotion data. This makes it possible to generate a personalized message that takes the user's emotional state into consideration, thereby improving the user experience.

[0959] "Information that users place importance on" refers to information that users place particular importance on when selecting a product, such as attribute information such as price, brand, and reviews.

[0960] "Detailed product information" is specific attribute information about a product, including information such as price, brand, reviews, and color.

[0961] "User emotional data" refers to data that represents the user's emotional state, and refers to information obtained through text input or sensors.

[0962] "Means for analyzing emotional data" refers to a mechanism or technology for analyzing a user's emotional data and determining their emotional state.

[0963] "Personalized messages" refer to messages that are individually customized based on the user's priorities and emotional state.

[0964] "Server" refers to the computer within the system that stores and processes user information, product information, and emotional data, and performs necessary data analysis.

[0965] A "terminal" is a device used by a user to access an e-commerce system, such as a personal computer or smartphone.

[0966] "Emotion engine" refers to a piece of software or hardware that receives and analyzes a user's emotion data.

[0967] MODE FOR CARRYING OUT THE INVENTION

[0968] The present invention is a system for providing personalized product information and emotional messages to each user in an electronic commerce system. This system operates among four parties: the user, a terminal, a server, and an emotion engine.

[0969] User

[0970] A user first accesses an e-commerce service and performs initial registration. Here, the user inputs and saves information that is important to them (e.g., price, brand, reviews, etc.). This information is sent to the server and stored. During the purchasing process, the user also provides emotional data using text input or sensors. This emotional data is then sent to the emotion engine via the server.

[0971] server

[0972] The server receives the important information and emotion data sent by the user and stores them in a database. Furthermore, when a new product is added, the product ID and corresponding detailed information (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching processes. Furthermore, when a user views a specific product page, the server receives the user ID and the ID of the product being viewed and performs a process to match the important information set by the user with the detailed product information.

[0973] Terminal

[0974] When a user browses a specific product page, the device sends the user ID and product ID to the server. It also provides emotional data about the user during the purchase process. The device then displays personalized messages sent from the server to the user.

[0975] Emotion Engine

[0976] The emotion engine analyzes the user's emotion data sent from the server to determine their emotional state, and the analysis results are returned to the server, which then generates a personalized message based on the data.

[0977] Generate personalized messages

[0978] The server compares the user's settings, product information, and emotional data, and generates a message that is tailored to the user's priorities and emotional state. This message is then sent to the terminal and displayed to the user.

[0979] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[0980] Here are some products you'll love:

[0981] Price: $100

[0982] Brand: XYZ

[0983] Review: 4.5 stars

[0984] This personalized message is displayed on the user's terminal.

[0985] Example prompts to input to the generative AI model

[0986] "Generate a description in Japanese for the following paragraph. Generate a personalized message for the user ID "user123" who prioritizes price, brand, and reviews, and for the product ID "product456" whose detailed information is price "$100", brand "XYZ", review "4.5 stars", and color "red". The emotion data is determined to be "joy."

[0987] This invention significantly improves the user experience and enables sellers to provide optimal information to each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[0988] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0989] Step 1:

[0990] The user accesses the e-commerce service and performs initial registration. The user selects the information they value (e.g., price, brand, reviews, etc.) and sends this configuration information to the system. The user's valued information is input, and the server receives this information and stores it in a database. Specifically, the information is sent to the server when the user presses the "Complete Configuration" button.

[0991] Step 2:

[0992] A seller registers a new product. They enter detailed information such as the product ID, price, brand, reviews, and color, and send it to the server. The input is detailed product information, which the server receives and stores in the database. Specifically, the seller submits a form to enter product information and presses the "Register" button.

[0993] Step 3:

[0994] Users provide emotional data during the purchasing process. Text input and emotional data from sensors are sent to the server via the device. The user's emotional data is input, and the server sends the information to the emotion engine. A specific example of this behavior is when a user enters a text comment.

[0995] Step 4:

[0996] When a user views a specific product page, the terminal sends the user ID and product ID to the server. The user ID and product ID are input, and the server receives them and retrieves the corresponding information from the database. In concrete terms, when a user views a product page, that information is sent to the server.

[0997] Step 5:

[0998] The server sends the received emotion data to the emotion engine. The emotion engine analyzes the data and determines the user's emotional state. The emotion data is input, and the analyzed emotional state is returned to the server as output. A specific example of this behavior is when the emotion engine determines the emotion as "joy."

[0999] Step 6:

[1000] The server generates a personalized message based on the user's settings, product information, and emotional data. The inputs are user settings, product information, and emotional state, and the output is a personalized message. Specifically, the following message is generated:

[1001] Here are some products you'll love:

[1002] Price: $100

[1003] Brand: XYZ

[1004] Review: 4.5 stars

[1005] Step 7:

[1006] The server sends the generated personalized message to the terminal. The terminal displays this message to the user. The input is the personalized message, and the output is the user confirming the message on the terminal. The specific operation is that the above message is displayed on the user's screen.

[1007] At each step, it is clear how the input data is processed or calculated and how the output data is generated, and this series of processes can improve the user experience.

[1008] (Application example 2)

[1009] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1010] In e-commerce, it is difficult to provide product information that accurately meets the needs of each individual user. Furthermore, existing personalization systems are unable to consider the user's emotional state, leaving challenges in improving the user experience. Furthermore, there is a lack of a method to effectively combine various pieces of information that users value and generate and display personalized messages that respond to their emotions.

[1011] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for setting information that the user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message based on the user's emotional data, means for recognizing the user's emotions using an image input device of the user's terminal, means for transmitting the emotion recognition result to the server, and means for the server to generate a personalized message and transmit it to the user's terminal. This enables the generation and display of a personalized message with higher accuracy, taking the user's emotional state into consideration.

[1012] A "means for pre-setting user-important information" is a system component that provides a function for a user to select or input their purchasing criteria (e.g., price, brand, reviews, etc.) during initial setup.

[1013] The "means for storing detailed product information" is a system component that provides a function for storing detailed product information (e.g., price, brand, reviews, color, etc.) in a database or recording device.

[1014] The "means for matching important information set by a user with detailed product information and generating a personalized message based on the user's emotional data" is a system component that provides a function for matching important information set by a user with saved detailed product information and generating a customized message according to the user's emotional state.

[1015] "Means for recognizing a user's emotions using an image input device on the user's terminal" is a system component that provides a function for determining the user's emotional state by acquiring an image of the user's face or facial expression via a camera or the like and analyzing it.

[1016] The "means for transmitting emotion recognition results to a server" is a system component that provides a communication function for transmitting emotion data recognized on a user's terminal to a server.

[1017] "Means for the server to generate a personalized message and send it to the user's terminal" is a system component that provides a function for the server to generate a message based on information and emotional data that the user values ​​and send that message to the user's terminal.

[1018] The present invention is a system that analyzes user emotions in e-commerce and provides personalized product information according to those emotions. This system is mainly composed of the following components:

[1019] 1. User Device:

[1020] A user's device such as a smartphone or personal computer.

[1021] An image input device (e.g., a camera) is connected to the terminal to acquire the user's facial image and facial expression.

[1022] During initial setup, users set the information they value (price, brand, reviews, etc.).

[1023] 2. Emotion Recognition Engine:

[1024] Software that analyzes image data acquired from the camera on the user's device and recognizes the user's emotional state (happiness, sadness, surprise, etc.).

[1025] Specifically, the EmotionRecognizer library is used to analyze camera footage in real time.

[1026] 3. Server:

[1027] It stores and manages important information, detailed product information, and emotional data sent from the user's device.

[1028] The server uses a database to efficiently store and collate information related to each user.

[1029] Based on the emotion data sent from the emotion recognition engine, a personalized message is generated and sent to the user's device. The generated message is adapted to the information and emotional state that the user values.

[1030] 4. Generate personalized messages:

[1031] The server compares the information that the user values ​​with detailed product information and generates a message that reflects the emotional data.

[1032] For example, if user ID "user123" values ​​price, brand, and reviews, and the detailed information for product ID "product456" is the price "100 dollars," the brand is "general brand," the reviews are "4.5 stars," and the user's emotion is recognized as "delighted," the following message will be generated:

[1033] Here are some products you'll love:

[1034] Price: $100

[1035] Brand: General brand

[1036] Review: 4.5 stars

[1037] This personalized message is displayed on the user's terminal.

[1038] Through the above process, it is possible to provide a personalized message that takes into account the user's emotions and is more suited to the user, which is expected to improve the user experience and make transactions more efficient.

[1039] Specific hardware and software used:

[1040] Hardware:

[1041] Smartphones, tablets, personal computers, cameras (image input devices)

[1042] software:

[1043] EmotionRecognizer library (for emotion recognition)

[1044] Web server and database management system (for data storage and management)

[1045] HTTP request library (for data communication)

[1046] Example prompt for a generative AI model:

[1047] Analyze the user's facial expressions to determine their emotions and return the results. This can be done using the following data:

[1048] Camera ID: 0

[1049] Recognized emotions: joy, sadness, surprise, anger, fear, disgust, neutral

[1050] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1051] Step 1:

[1052] When a user initially configures an e-commerce service, the terminal provides an interface for inputting information that the user values ​​(e.g., price, brand, reviews, etc.). The information entered here is sent from the terminal to the server, which then stores this data in a database as a user profile. The input of this step is the user's valued information, and the output is the user profile stored on the server.

[1053] Step 2:

[1054] When a user browses a product page, the device's image input device (camera) captures the user's facial image and facial expression data. The emotion data is analyzed using the EmotionRecognizer library. The input is the captured facial image and facial expression data, and the output is the analyzed emotional data. It is important that this data is captured in real time.

[1055] Step 3:

[1056] The device sends the analyzed user emotional data to the server, which receives the emotional data and temporarily stores it in a database as the user's current emotional state. The input of this step is the emotional data, and the output is the emotional state stored on the server.

[1057] Step 4:

[1058] When a user views the details page of a specific product, the device sends the user ID and product ID to the server. The server receives this request and retrieves the user's important information, product details, and emotion data from the database. The inputs to this step are the user ID and product ID, and the outputs are the retrieved important information, product details, and emotion data.

[1059] Step 5:

[1060] The server compares the information the user values ​​with the product details based on the acquired data, and then generates a personalized message taking into account emotional data. For example, if user ID "user123" values ​​price, brand, and reviews, and the product ID "product456" details price "$100," brand "general brand," and review "4.5 stars," and the user's emotion is recognized as "delighted," the server generates the following message: "We'd like to introduce a product that will delight you: Price: $100 Brand: Generic Brand Review: 4.5 stars." The input for this step is the acquired user preferences, product details, and emotional data, and the output is the generated personalized message.

[1061] Step 6:

[1062] The server sends the generated personalized message to the user's terminal, which displays the message in real time and provides it to the user. The input of this step is the generated personalized message, and the output is the personalized message displayed to the user.

[1063] Through the above steps, a personalized message that takes into account the user's emotions can be provided, improving the user experience.

[1064] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1065] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1066] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1067] [Fourth embodiment]

[1068] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1069] 7, a 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.

[1070] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1071] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1072] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1073] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1074] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1075] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1076] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1077] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1078] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1079] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1080] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1081] MODE FOR CARRYING OUT THE INVENTION

[1082] This invention relates to a system that provides personalized product information for each user in e-commerce. This system operates among the user, terminal, and server, and performs a series of processes to set information that the user values ​​in advance, and then compare it with detailed product information to generate a personalized message.

[1083] User

[1084] When using an e-commerce service, users first set the information they value (such as price, brand, reviews, etc.). This is done when they initially register with the system. This setting information is saved on the server and used when browsing products thereafter. The information that users value can be changed, and users can reset it as their needs change.

[1085] server

[1086] The server receives and stores the information that the user values. Product details are also stored on the server. When a new product is added, the product ID and its corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in a database and uses it for later matching.

[1087] Terminal

[1088] When a user views a specific product page, the device sends the user ID and product ID to the server. The server receives this and performs a process to match the information the user values ​​with detailed product information. Specifically, it checks whether the information the user values ​​(price, brand, reviews, etc.) exists in the product information and extracts any matching information.

[1089] Generate personalized messages

[1090] The server generates a personalized message based on the results of comparing the user's settings and product information. This message contains only the information the user cares about and is sent to the device in a format that is easy for the user to understand. The device receives the message and displays it to the user.

[1091] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is price: $100, brand: XYZ, reviews: 4.5 stars, and color: red. In this case, the server will match the product information based on the information the user values ​​(price, brand, reviews) and generate the following message:

[1092] Price: $100

[1093] Brand: XYZ

[1094] Review: 4.5 stars

[1095] This personalized message is displayed on the user's device, allowing the user to quickly check the information that is important to them and efficiently select products.

[1096] The system of the present invention improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[1097] The processing flow will be explained below.

[1098] Step 1:

[1099] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[1100] Step 2:

[1101] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[1102] Step 3:

[1103] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[1104] Step 4:

[1105] The server receives the detailed product information and stores it in a database.

[1106] Step 5:

[1107] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[1108] Step 6:

[1109] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[1110] Step 7:

[1111] The server compares the information that the user values ​​(price, brand, reviews, etc.) with detailed product information and extracts matching information.

[1112] Step 8:

[1113] The server generates a personalized message based on the matching results, which contains only the information the user cares about and is written in a format that is easy for the user to understand.

[1114] Step 9:

[1115] The server transmits the generated personalized message to the terminal.

[1116] Step 10:

[1117] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[1118] This series of processes allows users to quickly and easily view only the information that is important to them.

[1119] Example 1

[1120] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1121] Conventional e-commerce systems have faced challenges in making it difficult for users to efficiently obtain product information that best suits them from a large number of products. Furthermore, product information may not reflect the information users value, resulting in a poor user experience. Furthermore, it is difficult for sellers to provide appropriate product information for each user.

[1122] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1123] In this invention, the server includes means for searching a database for information that a user values, means for searching a database for detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message, and means for transmitting the generated personalized message to the user's terminal, thereby making it possible to provide product information based on the information that the user values.

[1124] "User" refers to a person who uses an electronic commerce system to obtain product information and make a purchase.

[1125] "Important information" refers to information items that users consider particularly important when selecting a product, such as price, brand, and reviews.

[1126] "Product details" refers to specific information about a product, such as price, brand, reviews, color, etc.

[1127] A "personalized message" refers to product information that is generated based on information that the user values ​​and is provided to the user.

[1128] "Terminal" refers to a device that a user uses to access the system and view product information, such as a PC, smartphone, or tablet.

[1129] The term "server" refers to a computer system that stores information important to users and detailed product information, generates personalized messages based on this information, and sends them to terminals.

[1130] A "database" refers to a system within a server that organizes and stores data such as information that users value and detailed product information.

[1131] "User ID" refers to an identifier for individually identifying a user.

[1132] "Product ID" refers to an identifier for uniquely identifying a product.

[1133] A "generative AI model" refers to an algorithm or program that generates personalized messages based on user priorities and product details.

[1134] A "prompt" is a textual instruction entered into a generative AI model to specify what message the model should generate.

[1135] MODE FOR CARRYING OUT THE INVENTION

[1136] The present invention relates to a system for providing personalized product information for each user in electronic commerce. This system is composed of the following elements:

[1137] User

[1138] When initially registering with an e-commerce service, users set the information they value (such as price, brand, reviews, etc.). Settings are made using a user interface provided on the browser. The set information is sent from the terminal to the server, which stores it in a database. This information is used later when browsing products. Users can reset the information they value according to their needs.

[1139] server

[1140] The server is responsible for:

[1141] 1. Save the information that the user has set as important.

[1142] 2. Store product details (e.g. price, brand, reviews, color, etc.) in a database. Every time a new product is added, the product ID and details are registered.

[1143] 3. When a product page is viewed, the user ID and product ID are received, and the information the user values ​​is searched for and matched with detailed product information from the database.

[1144] 4. Based on the match, a personalized message is generated and sent to the user's device, containing only the information the user values.

[1145] Terminal

[1146] The device (e.g., computer, smartphone, tablet) performs the following actions:

[1147] 1. Provide a user interface for users to enter important information during initial registration.

[1148] 2. When viewing a specific product page, the user ID and product ID are sent to the server.

[1149] 3. Receives the personalized message sent by the server and displays it to the user.

[1150] As a concrete example, let's say the user ID is "user123" and the user prioritizes price, brand, and reviews. Also, let's say the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, the server will match the product information based on the information the user prioritizes (price, brand, and reviews) and generate the following message:

[1151] Price: $100

[1152] Brand: XYZ

[1153] Review: 4.5 stars

[1154] Generative AI model and prompts

[1155] The generative AI model generates personalized messages based on the user's priorities and product information. The prompt sentence is used as input for the generative AI model.

[1156] Example prompt sentence:

[1157] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[1158] The personalized message thus generated is sent to the terminal and displayed to the user, allowing the user to quickly obtain the necessary information and efficiently select products.

[1159] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1160] Program processing flow

[1161] Step 1:

[1162] Setting user-important information

[1163] The user sets the information they value (e.g., price, brand, reviews, etc.) during initial registration. This setting is done through the device's user interface. The data entered is the information the user selected as important, and is sent from the device to the server. The server stores this information in a database.

[1164] Specific operation: The user accesses the form on a browser, selects important information items using checkboxes or radio buttons, and presses the "Submit" button. Input: Important information selected by the user. Output: Important information sent to the server.

[1165] Step 2:

[1166] Saving user configuration information

[1167] The server receives the user's important information sent from the device and stores it in a database, which stores the user ID and important information.

[1168] Specific operation: The server receives the data sent as an HTTP POST request and executes an INSERT statement in the database to save the information. Input: Information that the user values ​​received from the terminal. Output: Information that the user values ​​saved in the database.

[1169] Step 3:

[1170] Registering product information

[1171] When a seller or system administrator registers a new product, they enter the product ID and details (e.g. price, brand, reviews, color, etc.), which the server stores in the database.

[1172] Specific operation: Product details are entered via the administrator interface and sent to the server via an HTTP request. The server receives this and inserts the product information into the database. Input: Product details registered by the seller. Output: Product information saved in the database.

[1173] Step 4:

[1174] Viewing product pages

[1175] When a user views a specific product page, the device sends the user ID and product ID to the server, which then searches the database for the information the user cares about and detailed product information.

[1176] Specific operation: When a user opens a product web page, the user ID and product ID are sent to the server using JavaScript. The server receives this and uses an SQL SELECT statement to retrieve the required information from the database. Input: User ID and product ID sent when opening the product page. Output: Information important to the user and detailed product information retrieved from the database.

[1177] Step 5:

[1178] Generate personalized messages

[1179] The server compares the user's important information with the product details and generates a personalized message that includes only the information the user considers important.

[1180] Specific operation: The server combines the retrieved information to create a personalized message. The SQL results are processed within the program to generate a message in a specific format. Input: Information that the user values ​​and detailed product information retrieved from the database. Output: A personalized message.

[1181] Step 6:

[1182] Send and display personalized messages

[1183] The generated personalized message is sent from the server to the terminal, which receives it and displays it to the user.

[1184] Specific operation: The server sends a personalized message as an HTTP response. The device parses the response using JavaScript or similar and displays the message in the user interface. Input: The personalized message sent from the server. Output: The personalized message displayed on the user's device.

[1185] Example prompt sentence

[1186] User ID "user123" values ​​price, brand, and reviews. Product ID "product456" has detailed information: price "$100", brand "XYZ", reviews "4.5 stars", and color "red". Generate a personalized message to be displayed to the user.

[1187]

[1188] (Application example 1)

[1189] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1190] Conventional e-commerce systems have the problem that users cannot easily obtain product information that suits them, resulting in a long time required for purchasing decisions. In particular, when there are many products available, users can become confused in the process of selecting a product based on the information they value (e.g., price, brand, reviews, etc.). Furthermore, because user needs change, it is necessary to provide personalized information based on the latest information, but few systems can achieve this. The present invention aims to solve these problems and improve the user experience.

[1191] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1192] In this invention, the server includes means for setting information that a user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a message personalized for the user, means for allowing the user to change the information that the user values ​​through an interface, and means for generating a personalized product list. This enables the user to efficiently select products based on the information that the user values, speeding up purchasing decision-making in e-commerce and enabling quick response to changing needs.

[1193] "Means for pre-setting information that users value" is a function that allows users to pre-set criteria that they value, including price, brand, reviews, etc., into the system.

[1194] The "means for storing detailed product information" is a function for storing detailed attribute information such as price, brand, reviews, and color for each product in a database or server.

[1195] "Means for matching the important information set by the user with detailed product information and generating a message personalized for the user" refers to a function for comparing the criteria set by the user with attribute information of a product and creating a message customized for the user based on that.

[1196] "Means for allowing the user to change the information that they consider important through the interface" refers to a function that allows the user to change the information that they consider important through the interface of an application or website, even after the initial settings have been made.

[1197] The "means for generating a personalized product list" is a function for creating a list for selecting and displaying optimal products based on information that the user values.

[1198] The present invention specifically realizes an electronic commerce system for providing users with personalized product information. This system is composed of users, terminals, and a server, each of which has a specific function.

[1199] System configuration

[1200] 1. User Part:

[1201] Users install the dedicated application on their smartphone or other device, and when they first start it up, they set the information they value (price, brand, reviews, etc.) There are multiple options for users to choose from.

[1202] Furthermore, the user can change the information that is important at any time from the setting screen.

[1203] 2. Terminal part:

[1204] When a user browses a product, the user's device (such as a smartphone or tablet) sends the product ID to the server, along with the user ID.

[1205] The terminal is responsible for displaying the personalized message received from the server.

[1206] 3. Server part:

[1207] The server is built with a backend application using Node.js and Express, and stores product and user information in MongoDB.

[1208] The system stores the setting information sent by the user, and when the user views a product, it compares the setting information with the product's detailed information. It also generates a personalized message based on the comparison result and returns it to the device.

[1209] Processing flow

[1210] User Registration:

[1211] When a user opens the application, they enter important information on the initial setup screen, which is sent to the server along with their user ID.

[1212] Information storage:

[1213] The server stores the received information in MongoDB, and also stores details of each new product (price, brand, reviews, etc.) whenever it is added.

[1214] Product View:

[1215] When a user views a particular product, they send their user ID and product ID to the server, which receives this information, matches the user's priorities with the product details, and generates a personalized message for the user (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.).

[1216] Message Generation:

[1217] The server sends the generated personalized message to the terminal, which receives it and displays it on the screen.

[1218] Specific examples

[1219] For example, if a user has set price and reviews as important, and they browse to "Smartphone ABC", the server will respond with:

[1220] Price: $500

[1221] Review: 4.5 stars

[1222] Example prompt for a generative AI model:

[1223] 1. "Generate a personalized product list based on the user's most important information (price, brand, reviews). User ID is 'user123', product ID is 'product456'."

[1224] 2. "Personalize product information and generate messaging for users who care about price, brand, and reviews."

[1225] This system allows users to easily receive product information based on their priorities, enabling them to make purchasing decisions quickly and efficiently. Furthermore, users can change settings according to their needs, making it possible to always receive the latest personalized information.

[1226] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1227] Step 1:

[1228] User Registration

[1229] Input: A user installs an e-commerce application and enters important information (price, brand, reviews, etc.) when first launched.

[1230] Processing: The information entered by the user is obtained through the front-end UI component and sent to the server as a POST request along with the user ID.

[1231] Output: The server receives this and stores the important information and the user ID in a database (MongoDB).

[1232] Step 2:

[1233] Registering product information

[1234] Input: When an administrator adds a new product to the system, they input the product details (price, brand, reviews, etc.).

[1235] Processing: Retrieve product details from the backend admin interface and store them in MongoDB along with the product ID.

[1236] Output: The product details are saved in a database for the user to access later.

[1237] Step 3:

[1238] Submitting a product viewing request

[1239] Input: When a user opens a specific product page, they press the view button.

[1240] Processing: The device sends a request containing the user ID and product ID to the server. The request is executed as an HTTP GET request.

[1241] Output: The server receives the user ID and product ID and starts the process of retrieving the relevant information from the database.

[1242] Step 4:

[1243] Matching user information with product information

[1244] Input: User ID and product ID sent to the server.

[1245] Processing: The server retrieves the user's important information and product details from MongoDB. For example, if the user's important information is price and reviews, the server extracts the product's price and review information.

[1246] Output: Generate a personalized message based on the extracted information.

[1247] Step 5:

[1248] Generate personalized messages

[1249] Input: Matched user's key information and product details.

[1250] Processing: Based on the important information, the server generates a personalized message in text format (e.g., "Price: $100," "Brand: XYZ," "Reviews: 4.5 stars," etc.) in a format that is easy for the user to understand.

[1251] Output: Sends the generated personalized message in JSON format to the device.

[1252] Step 6:

[1253] Displaying messages

[1254] Input: Personalized message sent from the server (JSON format).

[1255] Processing: The device parses the received message and displays it appropriately in the user's UI. Use a library such as React Native to display the message on the screen.

[1256] Output: The user can see the personalized product information on the screen.

[1257] This series of processes enables the user to quickly obtain product information based on the information that is most important to him or her, and to make purchasing decisions efficiently.

[1258] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1259] MODE FOR CARRYING OUT THE INVENTION

[1260] The present invention relates to a system for providing personalized product information for each user in electronic commerce, and also includes an emotion engine that recognizes the user's emotions and generates a personalized message according to the emotions. This system operates among four parties: the user, the terminal, the server, and the emotion engine, and performs a series of processes to generate a personalized message by comparing detailed product information based on the information the user values ​​and the user's emotions.

[1261] User

[1262] When using an e-commerce service, users first set the information they value (e.g., price, brand, reviews, etc.). This is done during initial registration with the system, and this setting information is saved on the server. Furthermore, during the purchasing process, users provide emotional data through text input or sensors. This emotional data is analyzed by the emotion engine.

[1263] server

[1264] The server receives the important information and emotion data sent by the user and stores them in a database. Product details are also stored on the server. When a new product is added, the product ID and corresponding details (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching.

[1265] Terminal

[1266] When a user views a specific product page, the device sends the user ID and the product ID to the server. The server receives this information and performs a process to match the important information set by the user with the detailed product information.

[1267] Emotion Engine

[1268] The emotion engine analyzes the emotional data received from the user. Based on the analysis results, it determines the user's emotional state and sends that information to the server. The server then compares the information the user values ​​with detailed product information and generates a personalized message based on the emotional data.

[1269] Generate personalized messages

[1270] The server compares the user's settings with the product information and generates a personalized message that reflects the emotional data from the emotion engine. This message includes information that the user values ​​and is adjusted according to the user's emotions. This personalized message is then sent to the user's device and displayed.

[1271] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[1272] Here are some products you'll love:

[1273] Price: $100

[1274] Brand: XYZ

[1275] Review: 4.5 stars

[1276] This personalized message is displayed on the user's device, allowing the user to quickly and easily view information that is relevant to their interests and emotions.

[1277] The system of the present invention further improves the user experience and enables sellers to provide optimal information for each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[1278] The processing flow will be explained below.

[1279] Step 1:

[1280] Users set their important information in advance. When initially registering for an e-commerce service, users select the factors they value, such as price, brand, and reviews, and send this information to the server.

[1281] Step 2:

[1282] The server receives the important information sent by the user, associates the information with the user ID, and stores it in a database.

[1283] Step 3:

[1284] When users browse products, they provide emotion data through text input or sensors, which the device then sends to the emotion engine.

[1285] Step 4:

[1286] The emotion engine analyzes the emotion data received from the user and determines the user's emotional state (e.g., joy, sadness, anger, etc.), and sends the result to the server.

[1287] Step 5:

[1288] When a new product is added to the system, the seller enters detailed product information (price, brand, reviews, color, etc.), associates it with a product ID, and sends it to the server.

[1289] Step 6:

[1290] The server receives the detailed product information and stores it in a database.

[1291] Step 7:

[1292] When a user views a specific product page on the system, the terminal sends the user ID and the product ID to be viewed to the server.

[1293] Step 8:

[1294] The server retrieves information that the user values ​​from the database based on the user ID, and retrieves detailed product information based on the product ID.

[1295] Step 9:

[1296] The server matches user-focused information with product details and extracts matching information, including price, brand, reviews, etc.

[1297] Step 10:

[1298] The server also takes into account emotional data from the emotion engine to generate personalized messages, for example, adding positive expressions to the message if the user is in a "joy" emotional state.

[1299] Step 11:

[1300] The server transmits the generated personalized message to the terminal.

[1301] Step 12:

[1302] The terminal receives the personalized message sent from the server and displays it to the user, who can then quickly check detailed product information based on the displayed message.

[1303] This series of processes enables users to quickly and easily view product information based on the information and emotions that they value.

[1304] Example 2

[1305] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1306] Conventional e-commerce systems can provide personalized product information based on user-important information, but they have not provided personalized messages that take into account the user's emotional state. As a result, the improvement of the user experience has been limited, and it has been difficult to fully stimulate the user's purchasing motivation. Therefore, there is a need to generate personalized messages that reflect the user's emotional state and improve the user experience.

[1307] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1308] In this invention, the server includes means for setting information that a user considers important in advance, means for saving detailed product information, means for receiving user emotion data, means for analyzing the emotion data, and means for comparing the information that the user considers important with the detailed product information and generating a personalized message that reflects the emotion data. This makes it possible to generate a personalized message that takes the user's emotional state into consideration, thereby improving the user experience.

[1309] "Information that users place importance on" refers to information that users place particular importance on when selecting a product, such as attribute information such as price, brand, and reviews.

[1310] "Detailed product information" is specific attribute information about a product, including information such as price, brand, reviews, and color.

[1311] "User emotional data" refers to data that represents the user's emotional state, and refers to information obtained through text input or sensors.

[1312] "Means for analyzing emotional data" refers to a mechanism or technology for analyzing a user's emotional data and determining their emotional state.

[1313] "Personalized messages" refer to messages that are individually customized based on the user's priorities and emotional state.

[1314] "Server" refers to the computer within the system that stores and processes user information, product information, and emotional data, and performs necessary data analysis.

[1315] A "terminal" is a device used by a user to access an e-commerce system, such as a personal computer or smartphone.

[1316] "Emotion engine" refers to a piece of software or hardware that receives and analyzes a user's emotion data.

[1317] MODE FOR CARRYING OUT THE INVENTION

[1318] The present invention is a system for providing personalized product information and emotional messages to each user in an electronic commerce system. This system operates among four parties: the user, a terminal, a server, and an emotion engine.

[1319] User

[1320] A user first accesses an e-commerce service and performs initial registration. Here, the user inputs and saves information that is important to them (e.g., price, brand, reviews, etc.). This information is sent to the server and stored. During the purchasing process, the user also provides emotional data using text input or sensors. This emotional data is then sent to the emotion engine via the server.

[1321] server

[1322] The server receives the important information and emotion data sent by the user and stores them in a database. Furthermore, when a new product is added, the product ID and corresponding detailed information (price, brand, reviews, color, etc.) are registered. The server stores this information in the database and uses it for later matching processes. Furthermore, when a user views a specific product page, the server receives the user ID and the ID of the product being viewed and performs a process to match the important information set by the user with the detailed product information.

[1323] Terminal

[1324] When a user browses a specific product page, the device sends the user ID and product ID to the server. It also provides emotional data about the user during the purchase process. The device then displays personalized messages sent from the server to the user.

[1325] Emotion Engine

[1326] The emotion engine analyzes the user's emotion data sent from the server to determine their emotional state, and the analysis results are returned to the server, which then generates a personalized message based on the data.

[1327] Generate personalized messages

[1328] The server compares the user's settings, product information, and emotional data, and generates a message that is tailored to the user's priorities and emotional state. This message is then sent to the terminal and displayed to the user.

[1329] As a concrete example, let's assume that user ID "user123" values ​​price, brand, and reviews. Also, let's assume that the detailed information for product ID "product456" is that the price is "100 dollars," the brand is "XYZ," the reviews are "4.5 stars," and the color is "red." In this case, when the user browses the product page, if text analysis determines that the emotion is "joy," the server will generate the following message:

[1330] Here are some products you'll love:

[1331] Price: $100

[1332] Brand: XYZ

[1333] Review: 4.5 stars

[1334] This personalized message is displayed on the user's terminal.

[1335] Example prompts to input to the generative AI model

[1336] "Generate a description in Japanese for the following paragraph. Generate a personalized message for the user ID "user123" who prioritizes price, brand, and reviews, and for the product ID "product456" whose detailed information is price "$100", brand "XYZ", review "4.5 stars", and color "red". The emotion data is determined to be "joy."

[1337] This invention significantly improves the user experience and enables sellers to provide optimal information to each user, which is expected to improve the efficiency and satisfaction of e-commerce transactions.

[1338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1339] Step 1:

[1340] The user accesses the e-commerce service and performs initial registration. The user selects the information they value (e.g., price, brand, reviews, etc.) and sends this configuration information to the system. The user's valued information is input, and the server receives this information and stores it in a database. Specifically, the information is sent to the server when the user presses the "Complete Configuration" button.

[1341] Step 2:

[1342] A seller registers a new product. They enter detailed information such as the product ID, price, brand, reviews, and color, and send it to the server. The input is detailed product information, which the server receives and stores in the database. Specifically, the seller submits a form to enter product information and presses the "Register" button.

[1343] Step 3:

[1344] Users provide emotional data during the purchasing process. Text input and emotional data from sensors are sent to the server via the device. The user's emotional data is input, and the server sends the information to the emotion engine. A specific example of this behavior is when a user enters a text comment.

[1345] Step 4:

[1346] When a user views a specific product page, the terminal sends the user ID and product ID to the server. The user ID and product ID are input, and the server receives them and retrieves the corresponding information from the database. In concrete terms, when a user views a product page, that information is sent to the server.

[1347] Step 5:

[1348] The server sends the received emotion data to the emotion engine. The emotion engine analyzes the data and determines the user's emotional state. The emotion data is input, and the analyzed emotional state is returned to the server as output. A specific example of this behavior is when the emotion engine determines the emotion as "joy."

[1349] Step 6:

[1350] The server generates a personalized message based on the user's settings, product information, and emotional data. The inputs are user settings, product information, and emotional state, and the output is a personalized message. Specifically, the following message is generated:

[1351] Here are some products you'll love:

[1352] Price: $100

[1353] Brand: XYZ

[1354] Review: 4.5 stars

[1355] Step 7:

[1356] The server sends the generated personalized message to the terminal. The terminal displays this message to the user. The input is the personalized message, and the output is the user confirming the message on the terminal. The specific operation is that the above message is displayed on the user's screen.

[1357] At each step, it is clear how the input data is processed or calculated and how the output data is generated, and this series of processes can improve the user experience.

[1358] (Application example 2)

[1359] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1360] In e-commerce, it is difficult to provide product information that accurately meets the needs of each individual user. Furthermore, existing personalization systems are unable to consider the user's emotional state, leaving challenges in improving the user experience. Furthermore, there is a lack of a method to effectively combine various pieces of information that users value and generate and display personalized messages that respond to their emotions.

[1361] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for setting information that the user values ​​in advance, means for saving detailed product information, means for comparing the information that the user values ​​with the detailed product information and generating a personalized message based on the user's emotional data, means for recognizing the user's emotions using an image input device of the user's terminal, means for transmitting the emotion recognition result to the server, and means for the server to generate a personalized message and transmit it to the user's terminal. This enables the generation and display of a personalized message with higher accuracy, taking the user's emotional state into consideration.

[1362] A "means for pre-setting user-important information" is a system component that provides a function for a user to select or input their purchasing criteria (e.g., price, brand, reviews, etc.) during initial setup.

[1363] The "means for storing detailed product information" is a system component that provides a function for storing detailed product information (e.g., price, brand, reviews, color, etc.) in a database or recording device.

[1364] The "means for matching important information set by a user with detailed product information and generating a personalized message based on the user's emotional data" is a system component that provides a function for matching important information set by a user with saved detailed product information and generating a customized message according to the user's emotional state.

[1365] "Means for recognizing a user's emotions using an image input device on the user's terminal" is a system component that provides a function for determining the user's emotional state by acquiring an image of the user's face or facial expression via a camera or the like and analyzing it.

[1366] The "means for transmitting emotion recognition results to a server" is a system component that provides a communication function for transmitting emotion data recognized on a user's terminal to a server.

[1367] "Means for the server to generate a personalized message and send it to the user's terminal" is a system component that provides a function for the server to generate a message based on information and emotional data that the user values ​​and send that message to the user's terminal.

[1368] The present invention is a system that analyzes user emotions in e-commerce and provides personalized product information according to those emotions. This system is mainly composed of the following components:

[1369] 1. User Device:

[1370] A user's device such as a smartphone or personal computer.

[1371] An image input device (e.g., a camera) is connected to the terminal to acquire the user's facial image and facial expression.

[1372] During initial setup, users set the information they value (price, brand, reviews, etc.).

[1373] 2. Emotion Recognition Engine:

[1374] Software that analyzes image data acquired from the camera on the user's device and recognizes the user's emotional state (happiness, sadness, surprise, etc.).

[1375] Specifically, the EmotionRecognizer library is used to analyze camera footage in real time.

[1376] 3. Server:

[1377] It stores and manages important information, detailed product information, and emotional data sent from the user's device.

[1378] The server uses a database to efficiently store and collate information related to each user.

[1379] Based on the emotion data sent from the emotion recognition engine, a personalized message is generated and sent to the user's device. The generated message is adapted to the information and emotional state that the user values.

[1380] 4. Generate personalized messages:

[1381] The server compares the information that the user values ​​with detailed product information and generates a message that reflects the emotional data.

[1382] For example, if user ID "user123" values ​​price, brand, and reviews, and the detailed information for product ID "product456" is the price "100 dollars," the brand is "general brand," the reviews are "4.5 stars," and the user's emotion is recognized as "delighted," the following message will be generated:

[1383] Here are some products you'll love:

[1384] Price: $100

[1385] Brand: General brand

[1386] Review: 4.5 stars

[1387] This personalized message is displayed on the user's terminal.

[1388] Through the above process, it is possible to provide a personalized message that takes into account the user's emotions and is more suited to the user, which is expected to improve the user experience and make transactions more efficient.

[1389] Specific hardware and software used:

[1390] Hardware:

[1391] Smartphones, tablets, personal computers, cameras (image input devices)

[1392] software:

[1393] EmotionRecognizer library (for emotion recognition)

[1394] Web server and database management system (for data storage and management)

[1395] HTTP request library (for data communication)

[1396] Example prompt for a generative AI model:

[1397] Analyze the user's facial expressions to determine their emotions and return the results. This can be done using the following data:

[1398] Camera ID: 0

[1399] Recognized emotions: joy, sadness, surprise, anger, fear, disgust, neutral

[1400] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1401] Step 1:

[1402] When a user initially configures an e-commerce service, the terminal provides an interface for inputting information that the user values ​​(e.g., price, brand, reviews, etc.). The information entered here is sent from the terminal to the server, which then stores this data in a database as a user profile. The input of this step is the user's valued information, and the output is the user profile stored on the server.

[1403] Step 2:

[1404] When a user browses a product page, the device's image input device (camera) captures the user's facial image and facial expression data. The emotion data is analyzed using the EmotionRecognizer library. The input is the captured facial image and facial expression data, and the output is the analyzed emotional data. It is important that this data is captured in real time.

[1405] Step 3:

[1406] The device sends the analyzed user emotional data to the server, which receives the emotional data and temporarily stores it in a database as the user's current emotional state. The input of this step is the emotional data, and the output is the emotional state stored on the server.

[1407] Step 4:

[1408] When a user views the details page of a specific product, the device sends the user ID and product ID to the server. The server receives this request and retrieves the user's important information, product details, and emotion data from the database. The inputs to this step are the user ID and product ID, and the outputs are the retrieved important information, product details, and emotion data.

[1409] Step 5:

[1410] The server compares the information the user values ​​with the product details based on the acquired data, and then generates a personalized message taking into account emotional data. For example, if user ID "user123" values ​​price, brand, and reviews, and the product ID "product456" details price "$100," brand "general brand," and review "4.5 stars," and the user's emotion is recognized as "delighted," the server generates the following message: "We'd like to introduce a product that will delight you: Price: $100 Brand: Generic Brand Review: 4.5 stars." The input for this step is the acquired user preferences, product details, and emotional data, and the output is the generated personalized message.

[1411] Step 6:

[1412] The server sends the generated personalized message to the user's terminal, which displays the message in real time and provides it to the user. The input of this step is the generated personalized message, and the output is the personalized message displayed to the user.

[1413] Through the above steps, a personalized message that takes into account the user's emotions can be provided, improving the user experience.

[1414] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1415] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1416] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1417] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1418] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1419] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1420] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1421] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1422] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1423] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1424] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1425] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1426] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1427] 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.

[1428] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1429] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1430] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1431] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1432] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1433] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1434] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1435] The following is further disclosed regarding the above embodiment.

[1436] (Claim 1)

[1437] A means for setting information that a user considers important in advance;

[1438] a means for storing product details;

[1439] A means for matching the information that the user sets as important with detailed product information and generating a personalized message for the user;

[1440] A system including:

[1441] (Claim 2)

[1442] 10. The system of claim 1, further comprising means for displaying the personalized message on the user's terminal.

[1443] (Claim 3)

[1444] 2. The system of claim 1, further comprising means for receiving user-important information at the time of user registration.

[1445] (Claim 4)

[1446] 2. The system according to claim 1, further comprising means for receiving detailed information about a product when the product is registered.

[1447] (Claim 5)

[1448] 10. The system of claim 1, wherein the information matched between the user and the product includes price, brand, and reviews.

[1449] "Example 1"

[1450] (Claim 1)

[1451] A means for setting information that a user considers important in advance;

[1452] a means for storing product details;

[1453] A means for matching the user's preferences with product details to generate a personalized message;

[1454] means for transmitting the generated personalized message to the user's terminal;

[1455] The user's terminal has a means for transmitting the user ID and product ID to the server,

[1456] The server has a means of searching the database for information that the user cares about,

[1457] The server has a means for searching the database for product information,

[1458] The terminal includes means for displaying the generated personalized message;

[1459] A system including:

[1460] (Claim 2)

[1461] 10. The system of claim 1, wherein the personalized message is displayed on the user's terminal.

[1462] (Claim 3)

[1463] 2. The system of claim 1, wherein information important to a user is received at the time of user registration.

[1464] "Application Example 1"

[1465] (Claim 1)

[1466] A means for setting information that a user considers important in advance;

[1467] a means for storing product details;

[1468] A means for matching the information that the user sets as important with detailed product information and generating a personalized message for the user;

[1469] A means for allowing a user to change the information they value through the interface;

[1470] a means for generating a personalized product list;

[1471] A system including:

[1472] (Claim 2)

[1473] 10. The system of claim 1, further comprising means for displaying the personalized message on the user's terminal.

[1474] (Claim 3)

[1475] 2. The system of claim 1, further comprising means for receiving user-important information at the time of user registration.

[1476] "Example 2: Combining Emotion Engines"

[1477] (Claim 1)

[1478] A means for setting information that a user considers important in advance;

[1479] a means for storing product details;

[1480] means for receiving user emotion data;

[1481] a means for analyzing emotion data;

[1482] A means for matching the information that a user sets as important with detailed product information and generating a personalized message that reflects the emotional data;

[1483] A system including:

[1484] (Claim 2)

[1485] 10. The system of claim 1, further comprising means for displaying the personalized message on the user's terminal.

[1486] (Claim 3)

[1487] 2. The system of claim 1, further comprising means for receiving user-important information at the time of user registration.

[1488] "Application example 2 when combining emotion engines"

[1489] (Claim 1)

[1490] A means for setting information that a user considers important in advance;

[1491] a means for storing product details;

[1492] A means for matching the information that a user sets as important with detailed product information and generating a personalized message based on the user's emotional data;

[1493] means for recognizing a user's emotion using an image input device of the user's terminal;

[1494] means for transmitting emotion recognition results to a server;

[1495] A means for the server to generate and send a personalized message to the user's terminal;

[1496] A system including:

[1497] (Claim 2)

[1498] 10. The system of claim 1, further comprising means for displaying the personalized message on the user's terminal.

[1499] (Claim 3)

[1500] 2. The system of claim 1, further comprising means for receiving user-important information at the time of user registration. [Explanation of symbols]

[1501] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for setting information that a user considers important in advance; a means of storing product details; A means for matching the information that the user sets as important with detailed product information and generating a personalized message for the user; A system including:

2. 10. The system of claim 1, further comprising means for displaying the personalized message on the user's terminal.

3. 2. The system of claim 1, further comprising means for receiving information that a user values ​​when the user registers.

4. 2. The system according to claim 1, further comprising means for receiving detailed information about a product when the product is registered.

5. The system of claim 1 , wherein the information matched between the user and the product includes price, brand, and reviews.

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