System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving hobby and preference information from a user and generating a user profile; means for collecting information from an external data source; means for analyzing the collected information and selecting optimal information based on the user profile; and means for notifying the user of the selected information.SELECTED DRAWING: Figure 1

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] Many people today face the challenge of finding it difficult to efficiently gather and utilize information related to their hobbies and preferences. This is especially true for idol-driven activities, where people are likely to miss out on events, products, and the latest information they find interesting, and it's difficult to find opportunities to interact with people who share the same interests. This creates a situation where people are unable to fully enjoy their hobbies and idol-driven activities. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for receiving information about hobbies and preferences from a user and generating a user profile, a means for collecting information from external data sources, a means for analyzing the collected information and selecting optimal information based on the user profile, and a means for notifying the user of the selected information. The system also includes a means for automatically creating outing or travel plans and providing them to the user, and a means for editing image and video data uploaded by the user and providing them in an album format. This allows users to efficiently collect and utilize the latest information related to their hobbies and favorite activities, broadening the scope of their hobbies and leading a more fulfilling life.

[0006] A "user profile" is individual data generated based on collected information about a user's hobbies and preferences.

[0007] "External data sources" are information sources that can be accessed from the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0008] "Means for analyzing information" refers to the techniques and methods used to process collected data and extract relevant information based on user profiles.

[0009] "Means for selecting information" refers to the algorithms and logic used to select information that is important or useful to the user from the analysis results.

[0010] "Means of notification" means the method or technology used to communicate selected information to the user, including push notifications, emails, alerts, etc.

[0011] The "means for automatically creating a travel plan" refers to a system and method that generates an optimal travel plan based on user input conditions, taking into consideration transportation, accommodations, tourist spots, and the like.

[0012] "Means for editing image and video data" refers to software and technology for editing media content uploaded by users and compiling it into a specified format.

[0013] The "means for providing in album format" refers to a system and method for visually organizing edited images and videos and outputting them in a format that can be easily viewed by the user. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] This invention is an information provision system based on the user's hobbies and preferences, and mainly uses generation AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide the user with the most suitable information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0036] System Overview

[0037] 1. COLLECTION OF USER INFORMATION:

[0038] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[0039] The terminal transmits the input information to the server.

[0040] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0041] 2. Information Collection and Analysis:

[0042] The server collects the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0043] Specifically, the latest posts, product information, ticket sales information, etc. are obtained through the API.

[0044] The server analyzes the acquired data using generative AI and extracts information that matches the user profile.

[0045] 3. Provision of Information:

[0046] Based on the analysis results, the server selects the information to provide to the user.

[0047] The server sends the selected information to the device via push notification or email.

[0048] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0049] Specific function implementation examples

[0050] Examples of information gathering and analysis

[0051] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[0052] Type "Fan of Artist A" into your device.

[0053] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[0054] The collected data is analyzed using generative AI to extract information such as "new album release."

[0055] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0056] Example of automatic travel and outing plan creation

[0057] When a user wants to join a live event, the system works as follows:

[0058] The user inputs their preference to "attend a live event."

[0059] The terminal sends the input contents to the server.

[0060] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[0061] The optimal travel plan is automatically generated and suggested on the device.

[0062] Examples of media editing

[0063] If a user wants to create an album of their memories from a live event, the system works as follows:

[0064] Users upload the images and videos they have taken from their devices to the server.

[0065] The server edits the uploaded media using generative AI.

[0066] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[0067] As described above, the present invention is a system that caters to the user's hobbies and preferences and realizes a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums.

[0068] The processing flow will be explained below.

[0069] Step 1:

[0070] A user uses a terminal to input information about his or her hobbies and preferences.

[0071] Step 2:

[0072] The terminal transmits the input information to the server.

[0073] Step 3:

[0074] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0075] Step 4:

[0076] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0077] Step 5:

[0078] The server aggregates and analyzes the data collected from each API, using generative AI to perform text analysis and filtering to extract relevant information based on the user profile.

[0079] Step 6:

[0080] The server selects the information to be provided to the user based on the analysis results.

[0081] Step 7:

[0082] The server pushes the selected information to the user's device.

[0083] Step 8:

[0084] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0085] Step 9:

[0086] When a user wishes to travel or participate in an event, the user inputs the conditions through the terminal.

[0087] Step 10:

[0088] The terminal transmits the input conditions to the server.

[0089] Step 11:

[0090] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[0091] Step 12:

[0092] The server automatically generates the optimal travel plan and sends it to the terminal.

[0093] Step 13:

[0094] The terminal displays the proposed itinerary to the user.

[0095] Step 14:

[0096] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[0097] Step 15:

[0098] The server receives the uploaded media files.

[0099] Step 16:

[0100] The server then uses generative AI to edit the received media files, for example by automatically generating a photo album or cutting out unnecessary parts of a video.

[0101] Step 17:

[0102] The server organizes the edited media files into an album format and sends it to the user's device.

[0103] Step 18:

[0104] The terminal displays the album to the user for viewing.

[0105] Example 1

[0106] 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."

[0107] In modern society, it is difficult for individual users to find information that suits them from the vast amount of information available. In particular, it is difficult to efficiently collect information based on one's hobbies and preferences from a wide range of information sources, such as social networking sites, e-commerce sites, and event information, and make optimal choices. Furthermore, systems do not fully meet user needs for functions such as automatically creating plans for outings and trips, or compiling media data of memories and providing them as albums. There is a growing need for a system that can solve these issues and provide users with the most appropriate information.

[0108] 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.

[0109] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information using a generative AI model and selecting optimal information based on the user profile, means for notifying the user of the selected information, means for automatically creating outing or travel plans based on a user request, and means for analyzing and editing media data uploaded by the user and providing it in album format. This enables the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[0110] A "user profile" is a collection of data that reflects the characteristics and preferences of an individual user, generated based on information about the user's hobbies and preferences.

[0111] A "generative AI model" is a type of artificial intelligence that uses machine learning based on large amounts of data to generate text and analyze data.

[0112] "External data sources" refers to various information providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0113] "Analysis" is the process of applying statistical methods and machine learning algorithms to collected data to extract useful information.

[0114] A "push notification" is a notification message sent directly from a server to a device, and is a means of instantly informing users of new or updated information.

[0115] "Album format" refers to the arrangement and editing of image and video data into a photo book or video collection.

[0116] "Automatic travel plan creation" is the process of automatically generating an optimal travel schedule based on information such as the user's current location, destination, transportation, and accommodation.

[0117] "Media data" refers to digital content such as images, videos, and audio uploaded by users.

[0118] "API" stands for Application Programming Interface, an interface used by different software systems to communicate with each other and provide functionality to each other.

[0119] A "database" is an information system for efficiently storing, managing, and searching structured data.

[0120] This system collects and analyzes information based on the user's hobbies and preferences, and provides optimal information. A specific implementation example will be explained. This system mainly involves collaboration between a server and a terminal, and utilizes a generative AI model.

[0121] First, a user uses a device (e.g., a smartphone or PC) to input information about their hobbies and preferences. This includes information about their favorite artists, events they're interested in, and products they want to purchase. The device then sends the input information to a server via the Internet. The server analyzes the received information, creates a user profile that reflects the user's hobbies and preferences, and stores it in a database. A database management system such as MySQL is used to manage the database.

[0122] Next, the server collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. Specific data sources used include Twitter, Facebook, Amazon, Rakuten Ichiba, Ticketmaster, and Eventbrite. The necessary data is periodically obtained from these sources via API.

[0123] The collected data is analyzed on the server using a generative AI model (e.g., OpenAI's GPT-4). The purpose of the analysis is to extract the most relevant information for the user in accordance with the user profile. For example, if the user is a "fan of Artist A," the latest posts, product information, ticket sales information, etc. related to "Artist A" are identified and prepared to be provided to the user.

[0124] The selected information is sent from the server to the device via push notification or email. Push notifications are sent using services such as Firebase Cloud Messaging (FCM), and the device receives the notification and displays the information to the user. For example, the device's notification center might display a message saying, "Artist A's new album has been released."

[0125] If a user wants to attend a live event, the server receives the user's request and uses the Google Maps API to search for the best transportation and accommodation options, taking into account the user's current location, the event location, and the date and time. An optimal travel plan is automatically generated and presented to the device. This proposal includes route guidance to the venue and information on nearby hotels.

[0126] Furthermore, when users upload images and videos they have taken from their devices to the server, the server uses generative AI models to edit and organize these media data. For example, image recognition technology can be used to select important scenes and organize them into albums. The edited albums are then sent to the user's device, where they can be viewed and saved.

[0127] As a specific example of a prompt sentence, by entering "fan of artist A," information related to that fan will be collected and analyzed. This will enable the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[0128] The above is a specific embodiment for carrying out the present invention.

[0129] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0130] Step 1:

[0131] A user uses a terminal to input information about their hobbies and preferences. This information includes their favorite artists, events they are interested in, and products they want to purchase. The input data (prompt text) is sent from the terminal to the server. For example, a user might input "I'm a fan of artist A." The terminal's operation is to send this input data, and the received data is passed on to the server.

[0132] Step 2:

[0133] The server analyzes the information about hobbies and preferences received from the device and generates a user profile based on the input data. This profile reflects the user's characteristics and preferences and is stored in a database. Specifically, the server performs the storage operation using a database management system (DBMS). The input here is the user's interest information, and the output is the user profile. Text analysis technology is used to process this data.

[0134] Step 3:

[0135] The server periodically collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. For example, the server may use an API to obtain tweets related to specific keywords from Twitter or product inventory information from an e-commerce site. The collected data is unorganized and serves as input data.

[0136] Step 4:

[0137] The server analyzes the collected, unorganized data using a generative AI model. The purpose of the analysis is to extract highly relevant information by comparing it with the user profile. The analysis process uses natural language processing technology to extract the necessary information (e.g., new album release information). The input is the collected external data and the user profile, and the output is the relevant information.

[0138] Step 5:

[0139] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it may select "information about the release of a new album by Artist A." At this stage, the selected information is obtained as output. The server notifies the user of this information via push notification or email.

[0140] Step 6:

[0141] The device displays the notification received from the server on the GUI, allowing the user to access detailed information. Specifically, the notification center on the smartphone displays "Artist A's new album has been released." The input is the notification data from the server, and the output is the display content.

[0142] Step 7:

[0143] If a user wants to participate in a live event, they input their request, "Participate in a live event." The device sends this input to the server. The input data includes the event name and desired date.

[0144] Step 8:

[0145] The server searches for the best means of transportation and accommodations, taking into account the user's current location, the location of the event, and the date and time. It uses the Google Maps API and other tools to obtain information on transportation and nearby accommodations. The input is the user's desired information, and the output is the best travel plan. The server automatically generates this plan and presents it to the device.

[0146] Step 9:

[0147] Users upload images and videos they have taken from their devices to a server. The server then analyzes and edits the uploaded media data using a generative AI model. For example, image recognition technology is used to extract important scenes and organize them into an album. The input is media data, and the output is edited album data.

[0148] Step 10:

[0149] The server sends the created album to the user's device, where it is displayed. The user can then view and save the completed album. Specifically, the edited album is added to the device's gallery app, where the user can access it at any time.

[0150] (Application example 1)

[0151] 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."

[0152] Traditional online shopping sites require users to search for products they are interested in themselves, which is inefficient. Furthermore, there are few ways for users to obtain optimal product information based on their hobbies and preferences. Furthermore, there are challenges in improving the reliability of product reviews and the accuracy of recommendations based on user profiles.

[0153] 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.

[0154] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for notifying the user of the selected information, and means for analyzing product reviews using a generative AI model and recommending products that match the user profile, thereby enabling users to efficiently obtain optimal product information based on their hobbies and preferences.

[0155] A "user profile" is an individual data set generated based on information about a user's hobbies and preferences.

[0156] "External data sources" are information sources that are publicly available on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0157] A "generative AI model" is an artificial intelligence model that generates and analyzes data using machine learning algorithms such as generative adversarial networks (GANs) and BERT.

[0158] "Collected Information" means data obtained from external sources, including information required based on the user's interests and preferences.

[0159] "Recommendation" refers to selecting and presenting the most suitable products and information using a generative AI model based on a user profile.

[0160] "Notification" refers to the means of sending collected and analyzed information to the user's device via push notification or email.

[0161] The present invention is an information provision system based on a user's hobbies and preferences, which uses generative AI to collect and analyze information from external data sources and provide optimal information to the user. This system can be implemented as a smartphone application for online shopping sites. Specific embodiments for implementing the present invention are described below.

[0162] Creating a User Profile

[0163] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is sent from the device to a server, which then generates an individual user profile based on the user's hobbies and preferences. This data is stored in a database and used for subsequent recommendation processing.

[0164] Information collection and analysis

[0165] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). Specifically, it obtains the latest product information and reviews through APIs. The collected data is analyzed using a generative AI model (e.g., Hugging Face's BERT model) to extract information that matches the user profile.

[0166] Product recommendation

[0167] Based on the analyzed information, the server selects the products and services that best fit the user profile. The generative AI model also analyzes product reviews and prioritizes recommendations for products with positive ratings.

[0168] Notification means

[0169] The selected information is sent from the server to the user's device via push notification or email. The user receives the notification and can access detailed information. Using the GUI (Graphical User Interface) on the device, the user can check the details of the recommended products and purchase or view them.

[0170] Specific Examples

[0171] For example, if a user is interested in "sports goods," the system will analyze reviews focusing on products in categories such as "sports," "exercise," and "equipment," and select products with favorable reviews.

[0172] Hardware and software used

[0173] Hardware: Smartphone (iOS or Android)

[0174] Software: Python 3.8+, requests library (to retrieve data from the API), transformers library (to generate AI models)

[0175] In this way, users can efficiently obtain the most suitable product information based on their hobbies and preferences. This system aims to increase user satisfaction and improve the shopping experience on online shopping sites.

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] Entering and collecting user information

[0179] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is entered through the device's GUI and sent from the device to the server. The server analyzes the received information and creates a user profile.

[0180] Input: Information about the user's hobbies and preferences

[0181] Output: User profile

[0182] Step 2:

[0183] Collection of information

[0184] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). First, it uses the API of each data source to obtain product information, reviews, and ticket information. This involves sending queries to the database to obtain the required data.

[0185] Input: Request for information from an API of an external data source

[0186] Output: Collected product information, reviews, and ticket information

[0187] Step 3:

[0188] Analysis of information

[0189] The server analyzes the collected data using a generative AI model (e.g., Hugging Face's BERT model). First, it analyzes each product's review and description to determine whether it is a positive or negative review. Based on this analysis, it selects products and services that the user is likely to like, based on their user profile.

[0190] Input: Collected product information, reviews, ticket information

[0191] Output: Best products and services selected based on user profile

[0192] Step 4:

[0193] Product Recommendations and Notifications

[0194] Based on the analyzed information, the server selects the products and services that best fit the user profile, then sends the selected information to the user's device via push notification or email, and the device displays the received notification and allows the user to access more information.

[0195] Input: Products and services selected based on your user profile

[0196] Output: Push notification and email notification to the user

[0197] Step 5:

[0198] Viewing and interacting with detailed information

[0199] The user receives a notification on their device and taps it to access more information. The device then provides a GUI to display the details, allowing the user to view, purchase, or browse the recommended product or service.

[0200] Input: Product and service details selected based on your user profile

[0201] Output: Display of detailed information, user interactions (purchase, view, etc.)

[0202] 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.

[0203] This invention is an information provision system based on a user's hobbies and preferences. It uses generative AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. Furthermore, by combining it with an emotion engine, it is possible to provide information and edit content according to the user's emotional state. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0204] System Overview

[0205] 1. COLLECTION OF USER INFORMATION:

[0206] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[0207] The terminal transmits the input information to the server.

[0208] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0209] 2. Information Collection and Analysis:

[0210] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0211] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[0212] 3. Use of Emotion Engine:

[0213] The device collects data using cameras and sensors to capture the user's emotional state.

[0214] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[0215] 4. Provision of Information:

[0216] The server selects the information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[0217] The timing and content of notifications are adjusted according to the user's emotional state, providing information that suits the user's mood.

[0218] The server pushes the selected information to the user's device.

[0219] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0220] Specific function implementation examples

[0221] Information gathering and analysis and use of emotion engines

[0222] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[0223] Type "Fan of Artist A" into your device.

[0224] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[0225] The collected data is analyzed using generative AI to extract information such as "new album release."

[0226] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[0227] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[0228] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0229] Example of automatic travel and outing plan creation

[0230] When a user wants to join a live event, the system works as follows:

[0231] The user inputs their preference to "attend a live event."

[0232] The terminal sends the input contents to the server.

[0233] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[0234] The optimal travel plan is automatically generated and suggested on the device.

[0235] Examples of media editing

[0236] If a user wants to create an album of their memories from a live event, the system works as follows:

[0237] Users upload the images and videos they have taken from their devices to the server.

[0238] The server then uses generative AI to edit the uploaded media, such as automatically generating photo albums or cutting out unnecessary parts of videos.

[0239] The device's camera and sensors are used to capture the user's emotional state and the editing is then reflected in the content. For example, if the user is emotionally charged, the editing will be more dramatic.

[0240] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[0241] As described above, the present invention is a system that caters to the user's hobbies and preferences and optimally provides a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums, according to the user's emotional state.

[0242] The processing flow will be explained below.

[0243] Step 1:

[0244] Users use the terminal to input information about their hobbies and preferences, such as their favorite artists, events they are interested in, and merchandise they would like to purchase.

[0245] Step 2:

[0246] The terminal transmits the input information to the server.

[0247] Step 3:

[0248] The server analyzes the information received, generates a user profile and stores it in a database to record individual user preferences for further processing.

[0249] Step 4:

[0250] The server calls the API to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites. This API call is executed periodically.

[0251] Step 5:

[0252] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[0253] Step 6:

[0254] The device collects data using cameras and sensors to capture the user's emotional state in real time, and estimates emotions by analyzing their location, movements, and facial expressions.

[0255] Step 7:

[0256] The device transmits the collected emotion data to the server.

[0257] Step 8:

[0258] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state, which is then used in combination with the user profile.

[0259] Step 9:

[0260] The server then selects the information to provide to the user based on the analysis results, taking into account the user's emotional state. For example, when the user is relaxed, it is desirable to provide lighter information.

[0261] Step 10:

[0262] The server pushes the selected information to the user's device.

[0263] Step 11:

[0264] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0265] Step 12:

[0266] When a user wishes to travel or participate in an event, they input their requirements through the terminal, such as the destination, schedule, and budget.

[0267] Step 13:

[0268] The terminal transmits the input conditions to the server.

[0269] Step 14:

[0270] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[0271] Step 15:

[0272] The server automatically generates the optimal travel plan and sends it to the terminal.

[0273] Step 16:

[0274] The terminal displays the proposed travel plan to the user, preferably in a visually easy-to-understand format such as a map or schedule.

[0275] Step 17:

[0276] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[0277] Step 18:

[0278] The server receives the uploaded media files.

[0279] Step 19:

[0280] The server then uses AI to edit the received media files, which can include automatically generating photo albums and cutting out unnecessary parts of videos.

[0281] Step 20:

[0282] The server reflects the emotional data in the edited content. For example, if the user is excited, the server may edit the content in a more dynamic and colorful way.

[0283] Step 21:

[0284] The server organizes the edited media files into an album format and sends it to the user's device.

[0285] Step 22:

[0286] The device displays the album to the user, allowing them to view and save it.

[0287] Example 2

[0288] 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."

[0289] In today's world, systems that efficiently acquire and provide information tailored to users' diverse hobbies and preferences are extremely important. However, conventional systems provide information without considering the user's emotional state, making it difficult to maximize the user experience. Another issue is the lack of accuracy in properly analyzing collected information and selecting information that matches the user's hobbies and preferences. Furthermore, there is no consistent system that can achieve multiple functions, such as automatically creating travel plans or providing image and video data in an album format.

[0290] 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.

[0291] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring the user's emotional state using a camera or sensor of the terminal, means for analyzing the collected data using an emotion engine and estimating the user's emotional state, means for adjusting the timing and content of notifying the selected information based on the user's emotional state, and means for notifying the user of the selected information. This makes it possible to provide optimal information that matches the user's hobbies and preferences in accordance with the user's emotional state.

[0292] A "user profile" is data summarizing the characteristics of a user, which is generated based on information about the user's hobbies and preferences.

[0293] "External data sources" refers to data providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0294] An "emotion engine" refers to software or algorithms that analyze a user's emotional state and estimate emotions such as positive or negative.

[0295] "Cameras and sensors" refers to photo and video capture devices and various sensors installed on the device to capture the user's emotional state.

[0296] A "generative AI model" refers to an artificial intelligence model that learns from large amounts of data and makes highly accurate predictions and generation for various tasks.

[0297] "Push notification" refers to a notification format for sending information from a server to a device in real time.

[0298] "Automatic travel plan creation" refers to the function of searching for and suggesting the best means of transportation and accommodation based on the destination and conditions specified by the user.

[0299] "Editing image and video data" refers to the process of processing and editing photos and videos uploaded by users and organizing them into a specific format, such as an album.

[0300] "API" stands for Application Program Interface, and refers to an interface for exchanging data and functions between different software systems.

[0301] This invention is an information provision system based on a user's hobbies and preferences, and uses a generative AI model and emotion engine to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0302] System Overview

[0303] Collection of User Information

[0304] Users use the device's GUI interface to input information about their hobbies and preferences. For example, they input specific information such as "favorite artists" or "interesting events." The device then sends this information to a server. The server analyzes the received information, creates a user profile, and stores it in a database. This analysis is performed using a Python natural language processing library (e.g., spaCy).

[0305] Examples:

[0306] A user types "Fan of Artist A" into their device. The device sends this information to a server, which analyzes it and adds attributes to the user profile, such as "Favorite Artist: Artist A."

[0307] Information collection and analysis

[0308] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. HTTP requests are used to collect data, and the collected data is integrated using the Pandas library. The server then analyzes the integrated data using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[0309] Examples:

[0310] The server uses the Twitter API to retrieve the latest tweets about "Artist A," aggregates them, and extracts the information that "Artist A's new album is out."

[0311] Use of emotion engine

[0312] The device uses built-in cameras and sensors to collect data that detects the user's emotional state. The collected data is sent to a server, which then uses emotion analysis libraries (e.g., OpenCV and DeepFace) to estimate the user's emotional state. This information is used to adjust the timing and content of notifications.

[0313] Examples:

[0314] The device uses a camera to detect the user's smile and sends the data to the server, which analyzes the data and estimates it as a "positive emotion."

[0315] Providing information

[0316] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it selects "information about the release of a new album by artist A" based on the user's hobbies and preferences, and provides it to a user in a positive emotional state. The selected information is sent to the user's device using a push notification. The device displays this notification in a GUI, allowing the user to access detailed information.

[0317] Examples:

[0318] The server selects "Artist A's new album release information" and sends a push notification using Firebase Cloud Messaging (FCM). The device displays this notification, allowing the user to easily access detailed information.

[0319] Example prompt:

[0320] "Please let me know the latest information about Artist A's new album."

[0321] Specific use cases

[0322] 1. If you want to know about your favorite artist's new album

[0323] The user types "Fan of Artist A" into the terminal.

[0324] The server analyzes the collected data using generative AI and extracts information such as "new album release."

[0325] The user's emotional state, captured by the device's camera and sensors, is sent to a server, and the most appropriate information is pushed to the user based on the analysis results.

[0326] 2. Automatic travel planning

[0327] The user inputs their preference to "attend a live event."

[0328] The server searches for and suggests the best means of transportation and accommodation.

[0329] 3. Create a memory album of your live event

[0330] The user uploads the images and videos they have taken to the server.

[0331] The server uses generated AI to edit the content and provides it in album format.

[0332] As described above, the present invention caters to the user's hobbies and preferences, and optimally provides a wide range of functions, such as providing the latest information, suggesting travel plans, and creating photo albums, in accordance with the user's emotional state, thereby maximizing the user experience.

[0333] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0334] System program processing flow

[0335] Step 1: Enter your user information

[0336] Specific behavior:

[0337] Users input information about their hobbies and preferences, such as their favorite artists or events of interest, through the GUI interface of their device.

[0338] input:

[0339] Information about your interests and preferences

[0340] Data processing:

[0341] The device converts the user's input into JSON format and formats it for sending to the server.

[0342] output:

[0343] Formatted JSON data of user information

[0344] Step 2: Submit user information

[0345] Specific behavior:

[0346] The terminal transmits the formatted user information to the server, using the HTTPS protocol for this transmission process.

[0347] input:

[0348] Formatted JSON data of user information

[0349] Data processing:

[0350] The device sends user information to the server

[0351] output:

[0352] User information sent to the server

[0353] Step 3: Parse and store user information

[0354] Specific behavior:

[0355] The server analyzes the received user information and generates a user profile using a Python natural language processing library (e.g., spaCy). The generated user profile is stored in a database.

[0356] input:

[0357] User information sent to the server

[0358] Data processing:

[0359] The server parses the user information using a natural language processing library.

[0360] Generate user profiles based on analysis results

[0361] output:

[0362] Generated User Profile

[0363] Step 4: Gather external data

[0364] Specific behavior:

[0365] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. API calls are made using HTTP requests.

[0366] input:

[0367] User Profile

[0368] Data processing:

[0369] The server calls the API to gather the necessary data from external sources.

[0370] output:

[0371] Data collected

[0372] Step 5: Data synthesis and analysis

[0373] Specific behavior:

[0374] The server aggregates the data collected from each API using the Pandas library, and the aggregated data is analyzed using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[0375] input:

[0376] Data collected

[0377] Data processing:

[0378] Integrate data and analyze it with generative AI models

[0379] Extract relevant information based on user profile

[0380] output:

[0381] Extracted related information

[0382] Step 6: Obtaining emotional states

[0383] Specific behavior:

[0384] The device uses built-in cameras and sensors to collect data that detects the user's emotional state, which is then sent to a server.

[0385] input:

[0386] Real-time user data (video, audio, etc.)

[0387] Data processing:

[0388] The device detects the user's emotional state using cameras and sensors.

[0389] output:

[0390] User emotional state data

[0391] Step 7: Analyze emotional state

[0392] Specific behavior:

[0393] The server analyzes the collected emotional state data using an emotion analysis library (e.g., OpenCV and DeepFace) to estimate the user's emotional state.

[0394] input:

[0395] User emotional state data

[0396] Data processing:

[0397] Analyze emotional states using the Sentiment Analysis Library

[0398] output:

[0399] Estimated user emotional state

[0400] Step 8: Selecting information

[0401] Specific behavior:

[0402] Based on the analysis results, the server selects the most appropriate information to provide to the user, taking into account the user's emotional state.

[0403] input:

[0404] Extracted related information

[0405] Estimated user emotional state

[0406] Data processing:

[0407] Integrate relevant information and emotional state to select the most appropriate information

[0408] output:

[0409] Selected Information

[0410] Step 9: Notification of Information

[0411] Specific behavior:

[0412] The server sends the selected information to the user's device via push notification using Firebase Cloud Messaging (FCM).

[0413] input:

[0414] Selected Information

[0415] Data processing:

[0416] Create and send push notifications using FCM

[0417] output:

[0418] Push notifications sent to the device

[0419] Step 10: Viewing Information

[0420] Specific behavior:

[0421] The terminal displays the notified information on a GUI, allowing the user to access detailed information.

[0422] input:

[0423] Push notifications sent to the device

[0424] Data processing:

[0425] Display notifications in the GUI interface

[0426] output:

[0427] Details that users can access

[0428] The above are the specific processing steps of the program of this system, which makes it possible to provide optimal information based on the user's hobbies and preferences, taking into account their emotional state.

[0429] (Application example 2)

[0430] 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."

[0431] While modern content delivery services generally provide personalized information based on users' hobbies and preferences, they rarely provide information that takes into account the user's momentary emotional state. This makes it difficult to provide optimal content that reflects the user's emotions. Furthermore, the lack of personalized notification and recommendation systems that reflect emotional state as data hinders the potential for significantly improving the user experience.

[0432] The specification process by the specification 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 receiving information on hobbies and preferences from the user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring and analyzing the user's emotional state, and means for notifying the user of information at optimal timing and with optimal content based on the emotional state. This makes it possible to provide optimal content that is tailored to the user's emotional state as well as their hobbies and preferences through personalized notifications.

[0433] "User information" refers to individual characteristics or data about a user, including their hobbies, preferences, emotional state, and so on.

[0434] A "user profile" is a data set that systematically summarizes a user's characteristics and is generated based on the user's information.

[0435] An "external data source" is an external information provider that provides information related to the user, such as a social networking site, an e-commerce site, a ticket information site, or an event information site.

[0436] "Emotional state" refers to the momentary emotional state the user is feeling, and is estimated based on data collected from cameras and sensors.

[0437] "Analysis" refers to processing collected information using analytical tools and generative AI models to extract meaningful data and patterns.

[0438] "Content" is any digital information that may be of interest to users, such as music, video, event information, images, or text.

[0439] "Notification" means the act of informing a user of selected information or content, and includes, for example, push notifications and in-app messages.

[0440] "Generative AI" refers to a technology or model that generates new information based on large amounts of data, and is used to provide content based on a user's preferences and emotional state.

[0441] An "API" is an interface for accessing information and functions between different software systems, and is used to collect and provide data.

[0442] The "emotion engine" is a software component for analyzing the user's emotional state, recognizing emotions by analyzing data from cameras and sensors.

[0443] The present invention is an information provision system based on a user's hobbies and preferences, and by combining a generation AI and an emotion engine, it provides optimal content according to the user's emotional state. The following describes the configuration of the system for implementing the invention and detailed operating procedures.

[0444] System configuration

[0445] 1. Hardware:

[0446] Devices: Smartphones, tablets, smart glasses, head-mounted displays

[0447] Sensors: Camera and biometric sensors to capture emotional state

[0448] 2. Software:

[0449] Generative AI model: A technology that generates new information based on large amounts of data. An example of this is the GPT (Generative Pre-trained Transformer) model.

[0450] Emotion engine: A software component for analyzing the user's emotional state. Examples include the Microsoft Emotion API and Google Cloud Vision API.

[0451] APIs: Used to collect data from social media, music streaming services, and video sharing platforms. Examples include the Spotify API and YouTube Data API.

[0452] Process Overview

[0453] 1. User Information Collection:

[0454] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, genres of interest, and the types of content they want to watch.

[0455] The terminal transmits the input information to the server.

[0456] 2. Create a user profile:

[0457] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0458] 3. Information Collection and Analysis:

[0459] The server calls APIs to collect information from external data sources (social networks, music streaming services, video sharing platforms, etc.).

[0460] The collected data is analyzed using a generative AI model to select the most appropriate information based on the user profile.

[0461] 4. Use of Emotion Engine:

[0462] The device collects data using cameras and sensors to capture the user's emotional state.

[0463] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[0464] 5. Provision of Information:

[0465] The server selects the most appropriate information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[0466] The selected information is notified at the optimal timing and with the optimal content based on the user's emotional state.

[0467] Finally, the server sends this information to the user's device via a push notification, and the user can access the details through the device's GUI.

[0468] Specific examples

[0469] For example, if a user wants to know about a new album by their favorite artist A on a music streaming service, the system operates as follows:

[0470] The user types "fan of artist A" into the device.

[0471] The server collects the latest social media posts about Artist A, information about new albums on music streaming services, and more via the API.

[0472] The collected data is analyzed using a generative AI model to extract information such as "new album release."

[0473] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[0474] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[0475] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0476] Prompt Sentence Examples

[0477] "The user's favorite artist is 'Artist A'. The user's current emotion is 'Happy'. Please recommend the best music and video list based on the user's current emotional state."

[0478] The present invention provides a more personalized user experience by providing optimal content based on the user's emotional state as well as their tastes and preferences.

[0479] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0480] Step 1: Collect user information

[0481] Users use devices (smartphones, tablets, smart glasses, head-mounted displays) to input information about their hobbies and preferences. This information includes favorite artists, genres of interest, and types of content they want to watch. The device then sends the input information to a server.

[0482] Input: Information about your hobbies and preferences that you enter

[0483] Data processing: Organizing the input information into structured data

[0484] Output: Send structured user information to the server

[0485] Step 2: Generate a user profile

[0486] The server analyzes the information received from the user and generates a user profile, which is then stored in a database.

[0487] Input: Structured user information sent from the device

[0488] Data calculation: Analyze user information and extract user preferences and patterns

[0489] Output: Generate a user profile and save it to the database.

[0490] Step 3: Gather information

[0491] The server calls APIs to collect the necessary information from external data sources (e.g., social media, music streaming services, video sharing platforms), collecting relevant information based on the user profile.

[0492] Input: User Profile

[0493] Data processing: Use APIs to gather information from external sources

[0494] Output: Relevant information collected

[0495] Step 4: Analyze the information

[0496] The server analyzes the collected information using a generative AI model, which is then used to select the most appropriate information based on the user profile.

[0497] Input: Collected relevant information

[0498] Data computation: Analyzes information using generative AI models to extract the most relevant information based on user profiles

[0499] Output: Optimized information list

[0500] Step 5: Obtaining emotional states

[0501] The device's camera and sensors are used to capture the user's emotional state, and facial and biometric sensor data is sent to the server.

[0502] Input: User facial and biometric sensor data

[0503] Data processing: Using an emotion engine to convert emotional states into a parseable format

[0504] Output: Send emotional state data to the server

[0505] Step 6: Analyze emotional state

[0506] The server uses an emotion engine to analyze the user's emotional state, and the analysis results are reflected in the notification information.

[0507] Input: Emotional state data

[0508] Data Computation: Estimating Emotional States Using an Emotion Engine

[0509] Output: Parsed user's emotional state

[0510] Step 7: Provide information

[0511] The server then selects the optimal information to be provided to the user based on the analysis results, adjusting the timing and content according to the user's emotional state. The server then sends the information to the user's device via push notification, allowing the user to access detailed information.

[0512] Input: Optimized information list, analyzed user emotional state

[0513] Data processing: Adjust notification timing and content to provide information in the most optimal format for users

[0514] Output: Providing information via push notification to the device

[0515] 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.

[0516] 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.

[0517] 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.

[0518] [Second embodiment]

[0519] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0520] 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.

[0521] 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).

[0522] 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.

[0523] 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.

[0524] 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).

[0525] 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.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] In the smart glasses 214, the 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.

[0530] 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."

[0531] This invention is an information provision system based on the user's hobbies and preferences, and mainly uses generation AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide the user with the most suitable information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0532] System Overview

[0533] 1. COLLECTION OF USER INFORMATION:

[0534] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[0535] The terminal transmits the input information to the server.

[0536] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0537] 2. Information Collection and Analysis:

[0538] The server collects the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0539] Specifically, the latest posts, product information, ticket sales information, etc. are obtained through the API.

[0540] The server analyzes the acquired data using generative AI and extracts information that matches the user profile.

[0541] 3. Provision of Information:

[0542] Based on the analysis results, the server selects the information to provide to the user.

[0543] The server sends the selected information to the device via push notification or email.

[0544] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0545] Specific function implementation examples

[0546] Examples of information gathering and analysis

[0547] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[0548] Type "Fan of Artist A" into your device.

[0549] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[0550] The collected data is analyzed using generative AI to extract information such as "new album release."

[0551] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0552] Example of automatic travel and outing plan creation

[0553] When a user wants to join a live event, the system works as follows:

[0554] The user inputs their preference to "attend a live event."

[0555] The terminal sends the input contents to the server.

[0556] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[0557] The optimal travel plan is automatically generated and suggested on the device.

[0558] Examples of media editing

[0559] If a user wants to create an album of their memories from a live event, the system works as follows:

[0560] Users upload the images and videos they have taken from their devices to the server.

[0561] The server edits the uploaded media using generative AI.

[0562] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[0563] As described above, the present invention is a system that caters to the user's hobbies and preferences and realizes a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums.

[0564] The processing flow will be explained below.

[0565] Step 1:

[0566] A user uses a terminal to input information about his or her hobbies and preferences.

[0567] Step 2:

[0568] The terminal transmits the input information to the server.

[0569] Step 3:

[0570] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0571] Step 4:

[0572] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0573] Step 5:

[0574] The server aggregates and analyzes the data collected from each API, using generative AI to perform text analysis and filtering to extract relevant information based on the user profile.

[0575] Step 6:

[0576] The server selects the information to be provided to the user based on the analysis results.

[0577] Step 7:

[0578] The server pushes the selected information to the user's device.

[0579] Step 8:

[0580] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0581] Step 9:

[0582] When a user wishes to travel or participate in an event, the user inputs the conditions through the terminal.

[0583] Step 10:

[0584] The terminal transmits the input conditions to the server.

[0585] Step 11:

[0586] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[0587] Step 12:

[0588] The server automatically generates the optimal travel plan and sends it to the terminal.

[0589] Step 13:

[0590] The terminal displays the proposed itinerary to the user.

[0591] Step 14:

[0592] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[0593] Step 15:

[0594] The server receives the uploaded media files.

[0595] Step 16:

[0596] The server then uses generative AI to edit the received media files, for example by automatically generating a photo album or cutting out unnecessary parts of a video.

[0597] Step 17:

[0598] The server organizes the edited media files into an album format and sends it to the user's device.

[0599] Step 18:

[0600] The terminal displays the album to the user for viewing.

[0601] Example 1

[0602] 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."

[0603] In modern society, it is difficult for individual users to find information that suits them from the vast amount of information available. In particular, it is difficult to efficiently collect information based on one's hobbies and preferences from a wide range of information sources, such as social networking sites, e-commerce sites, and event information, and make optimal choices. Furthermore, systems do not fully meet user needs for functions such as automatically creating plans for outings and trips, or compiling media data of memories and providing them as albums. There is a growing need for a system that can solve these issues and provide users with the most appropriate information.

[0604] 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.

[0605] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information using a generative AI model and selecting optimal information based on the user profile, means for notifying the user of the selected information, means for automatically creating outing or travel plans based on a user request, and means for analyzing and editing media data uploaded by the user and providing it in album format. This enables the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[0606] A "user profile" is a collection of data that reflects the characteristics and preferences of an individual user, generated based on information about the user's hobbies and preferences.

[0607] A "generative AI model" is a type of artificial intelligence that uses machine learning based on large amounts of data to generate text and analyze data.

[0608] "External data sources" refers to various information providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0609] "Analysis" is the process of applying statistical methods and machine learning algorithms to collected data to extract useful information.

[0610] A "push notification" is a notification message sent directly from a server to a device, and is a means of instantly informing users of new or updated information.

[0611] "Album format" refers to the arrangement and editing of image and video data into a photo book or video collection.

[0612] "Automatic travel plan creation" is the process of automatically generating an optimal travel schedule based on information such as the user's current location, destination, transportation, and accommodation.

[0613] "Media data" refers to digital content such as images, videos, and audio uploaded by users.

[0614] "API" stands for Application Programming Interface, an interface used by different software systems to communicate with each other and provide functionality to each other.

[0615] A "database" is an information system for efficiently storing, managing, and searching structured data.

[0616] This system collects and analyzes information based on the user's hobbies and preferences, and provides optimal information. A specific implementation example will be explained. This system mainly involves collaboration between a server and a terminal, and utilizes a generative AI model.

[0617] First, a user uses a device (e.g., a smartphone or PC) to input information about their hobbies and preferences. This includes information about their favorite artists, events they're interested in, and products they want to purchase. The device then sends the input information to a server via the Internet. The server analyzes the received information, creates a user profile that reflects the user's hobbies and preferences, and stores it in a database. A database management system such as MySQL is used to manage the database.

[0618] Next, the server collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. Specific data sources used include Twitter, Facebook, Amazon, Rakuten Ichiba, Ticketmaster, and Eventbrite. The necessary data is periodically obtained from these sources via API.

[0619] The collected data is analyzed on the server using a generative AI model (e.g., OpenAI's GPT-4). The purpose of the analysis is to extract the most relevant information for the user in accordance with the user profile. For example, if the user is a "fan of Artist A," the latest posts, product information, ticket sales information, etc. related to "Artist A" are identified and prepared to be provided to the user.

[0620] The selected information is sent from the server to the device via push notification or email. Push notifications are sent using services such as Firebase Cloud Messaging (FCM), and the device receives the notification and displays the information to the user. For example, the device's notification center might display a message saying, "Artist A's new album has been released."

[0621] If a user wants to attend a live event, the server receives the user's request and uses the Google Maps API to search for the best transportation and accommodation options, taking into account the user's current location, the event location, and the date and time. An optimal travel plan is automatically generated and presented to the device. This proposal includes route guidance to the venue and information on nearby hotels.

[0622] Furthermore, when users upload images and videos they have taken from their devices to the server, the server uses generative AI models to edit and organize these media data. For example, image recognition technology can be used to select important scenes and organize them into albums. The edited albums are then sent to the user's device, where they can be viewed and saved.

[0623] As a specific example of a prompt sentence, by entering "fan of artist A," information related to that fan will be collected and analyzed. This will enable the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[0624] The above is a specific embodiment for carrying out the present invention.

[0625] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0626] Step 1:

[0627] A user uses a terminal to input information about their hobbies and preferences. This information includes their favorite artists, events they are interested in, and products they want to purchase. The input data (prompt text) is sent from the terminal to the server. For example, a user might input "I'm a fan of artist A." The terminal's operation is to send this input data, and the received data is passed on to the server.

[0628] Step 2:

[0629] The server analyzes the information about hobbies and preferences received from the device and generates a user profile based on the input data. This profile reflects the user's characteristics and preferences and is stored in a database. Specifically, the server performs the storage operation using a database management system (DBMS). The input here is the user's interest information, and the output is the user profile. Text analysis technology is used to process this data.

[0630] Step 3:

[0631] The server periodically collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. For example, the server may use an API to obtain tweets related to specific keywords from Twitter or product inventory information from an e-commerce site. The collected data is unorganized and serves as input data.

[0632] Step 4:

[0633] The server analyzes the collected, unorganized data using a generative AI model. The purpose of the analysis is to extract highly relevant information by comparing it with the user profile. The analysis process uses natural language processing technology to extract the necessary information (e.g., new album release information). The input is the collected external data and the user profile, and the output is the relevant information.

[0634] Step 5:

[0635] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it may select "information about the release of a new album by Artist A." At this stage, the selected information is obtained as output. The server notifies the user of this information via push notification or email.

[0636] Step 6:

[0637] The device displays the notification received from the server on the GUI, allowing the user to access detailed information. Specifically, the notification center on the smartphone displays "Artist A's new album has been released." The input is the notification data from the server, and the output is the display content.

[0638] Step 7:

[0639] If a user wants to participate in a live event, they input their request, "Participate in a live event." The device sends this input to the server. The input data includes the event name and desired date.

[0640] Step 8:

[0641] The server searches for the best means of transportation and accommodations, taking into account the user's current location, the location of the event, and the date and time. It uses the Google Maps API and other tools to obtain information on transportation and nearby accommodations. The input is the user's desired information, and the output is the best travel plan. The server automatically generates this plan and presents it to the device.

[0642] Step 9:

[0643] Users upload images and videos they have taken from their devices to a server. The server then analyzes and edits the uploaded media data using a generative AI model. For example, image recognition technology is used to extract important scenes and organize them into an album. The input is media data, and the output is edited album data.

[0644] Step 10:

[0645] The server sends the created album to the user's device, where it is displayed. The user can then view and save the completed album. Specifically, the edited album is added to the device's gallery app, where the user can access it at any time.

[0646] (Application example 1)

[0647] 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."

[0648] Traditional online shopping sites require users to search for products they are interested in themselves, which is inefficient. Furthermore, there are few ways for users to obtain optimal product information based on their hobbies and preferences. Furthermore, there are challenges in improving the reliability of product reviews and the accuracy of recommendations based on user profiles.

[0649] 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.

[0650] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for notifying the user of the selected information, and means for analyzing product reviews using a generative AI model and recommending products that match the user profile, thereby enabling users to efficiently obtain optimal product information based on their hobbies and preferences.

[0651] A "user profile" is an individual data set generated based on information about a user's hobbies and preferences.

[0652] "External data sources" are information sources that are publicly available on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0653] A "generative AI model" is an artificial intelligence model that generates and analyzes data using machine learning algorithms such as generative adversarial networks (GANs) and BERT.

[0654] "Collected Information" means data obtained from external sources, including information required based on the user's interests and preferences.

[0655] "Recommendation" refers to selecting and presenting the most suitable products and information using a generative AI model based on a user profile.

[0656] "Notification" refers to the means of sending collected and analyzed information to the user's device via push notification or email.

[0657] The present invention is an information provision system based on a user's hobbies and preferences, which uses generative AI to collect and analyze information from external data sources and provide optimal information to the user. This system can be implemented as a smartphone application for online shopping sites. Specific embodiments for implementing the present invention are described below.

[0658] Creating a User Profile

[0659] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is sent from the device to a server, which then generates an individual user profile based on the user's hobbies and preferences. This data is stored in a database and used for subsequent recommendation processing.

[0660] Information collection and analysis

[0661] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). Specifically, it obtains the latest product information and reviews through APIs. The collected data is analyzed using a generative AI model (e.g., Hugging Face's BERT model) to extract information that matches the user profile.

[0662] Product recommendation

[0663] Based on the analyzed information, the server selects the products and services that best fit the user profile. The generative AI model also analyzes product reviews and prioritizes recommendations for products with positive ratings.

[0664] Notification means

[0665] The selected information is sent from the server to the user's device via push notification or email. The user receives the notification and can access detailed information. Using the GUI (Graphical User Interface) on the device, the user can check the details of the recommended products and purchase or view them.

[0666] Specific Examples

[0667] For example, if a user is interested in "sports goods," the system will analyze reviews focusing on products in categories such as "sports," "exercise," and "equipment," and select products with favorable reviews.

[0668] Hardware and software used

[0669] Hardware: Smartphone (iOS or Android)

[0670] Software: Python 3.8+, requests library (to retrieve data from the API), transformers library (to generate AI models)

[0671] In this way, users can efficiently obtain the most suitable product information based on their hobbies and preferences. This system aims to increase user satisfaction and improve the shopping experience on online shopping sites.

[0672] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0673] Step 1:

[0674] Entering and collecting user information

[0675] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is entered through the device's GUI and sent from the device to the server. The server analyzes the received information and creates a user profile.

[0676] Input: Information about the user's hobbies and preferences

[0677] Output: User profile

[0678] Step 2:

[0679] Collection of information

[0680] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). First, it uses the API of each data source to obtain product information, reviews, and ticket information. This involves sending queries to the database to obtain the required data.

[0681] Input: Request for information from an API of an external data source

[0682] Output: Collected product information, reviews, and ticket information

[0683] Step 3:

[0684] Analysis of information

[0685] The server analyzes the collected data using a generative AI model (e.g., Hugging Face's BERT model). First, it analyzes each product's review and description to determine whether it is a positive or negative review. Based on this analysis, it selects products and services that the user is likely to like, based on their user profile.

[0686] Input: Collected product information, reviews, ticket information

[0687] Output: Best products and services selected based on user profile

[0688] Step 4:

[0689] Product Recommendations and Notifications

[0690] Based on the analyzed information, the server selects the products and services that best fit the user profile, then sends the selected information to the user's device via push notification or email, and the device displays the received notification and allows the user to access more information.

[0691] Input: Products and services selected based on your user profile

[0692] Output: Push notification and email notification to the user

[0693] Step 5:

[0694] Viewing and interacting with detailed information

[0695] The user receives a notification on their device and taps it to access more information. The device then provides a GUI to display the details, allowing the user to view, purchase, or browse the recommended product or service.

[0696] Input: Product and service details selected based on your user profile

[0697] Output: Display of detailed information, user interactions (purchase, view, etc.)

[0698] 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.

[0699] This invention is an information provision system based on a user's hobbies and preferences. It uses generative AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. Furthermore, by combining it with an emotion engine, it is possible to provide information and edit content according to the user's emotional state. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0700] System Overview

[0701] 1. COLLECTION OF USER INFORMATION:

[0702] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[0703] The terminal transmits the input information to the server.

[0704] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0705] 2. Information Collection and Analysis:

[0706] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[0707] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[0708] 3. Use of Emotion Engine:

[0709] The device collects data using cameras and sensors to capture the user's emotional state.

[0710] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[0711] 4. Provision of Information:

[0712] The server selects the information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[0713] The timing and content of notifications are adjusted according to the user's emotional state, providing information that suits the user's mood.

[0714] The server pushes the selected information to the user's device.

[0715] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0716] Specific function implementation examples

[0717] Information gathering and analysis and use of emotion engines

[0718] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[0719] Type "Fan of Artist A" into your device.

[0720] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[0721] The collected data is analyzed using generative AI to extract information such as "new album release."

[0722] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[0723] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[0724] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0725] Example of automatic travel and outing plan creation

[0726] When a user wants to join a live event, the system works as follows:

[0727] The user inputs their preference to "attend a live event."

[0728] The terminal sends the input contents to the server.

[0729] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[0730] The optimal travel plan is automatically generated and suggested on the device.

[0731] Examples of media editing

[0732] If a user wants to create an album of their memories from a live event, the system works as follows:

[0733] Users upload the images and videos they have taken from their devices to the server.

[0734] The server then uses generative AI to edit the uploaded media, such as automatically generating photo albums or cutting out unnecessary parts of videos.

[0735] The device's camera and sensors are used to capture the user's emotional state and the editing is then reflected in the content. For example, if the user is emotionally charged, the editing will be more dramatic.

[0736] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[0737] As described above, the present invention is a system that caters to the user's hobbies and preferences and optimally provides a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums, according to the user's emotional state.

[0738] The processing flow will be explained below.

[0739] Step 1:

[0740] Users use the terminal to input information about their hobbies and preferences, such as their favorite artists, events they are interested in, and merchandise they would like to purchase.

[0741] Step 2:

[0742] The terminal transmits the input information to the server.

[0743] Step 3:

[0744] The server analyzes the information received, generates a user profile and stores it in a database to record individual user preferences for further processing.

[0745] Step 4:

[0746] The server calls the API to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites. This API call is executed periodically.

[0747] Step 5:

[0748] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[0749] Step 6:

[0750] The device collects data using cameras and sensors to capture the user's emotional state in real time, and estimates emotions by analyzing their location, movements, and facial expressions.

[0751] Step 7:

[0752] The device transmits the collected emotion data to the server.

[0753] Step 8:

[0754] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state, which is then used in combination with the user profile.

[0755] Step 9:

[0756] The server then selects the information to provide to the user based on the analysis results, taking into account the user's emotional state. For example, when the user is relaxed, it is desirable to provide lighter information.

[0757] Step 10:

[0758] The server pushes the selected information to the user's device.

[0759] Step 11:

[0760] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[0761] Step 12:

[0762] When a user wishes to travel or participate in an event, they input their requirements through the terminal, such as the destination, schedule, and budget.

[0763] Step 13:

[0764] The terminal transmits the input conditions to the server.

[0765] Step 14:

[0766] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[0767] Step 15:

[0768] The server automatically generates the optimal travel plan and sends it to the terminal.

[0769] Step 16:

[0770] The terminal displays the proposed travel plan to the user, preferably in a visually easy-to-understand format such as a map or schedule.

[0771] Step 17:

[0772] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[0773] Step 18:

[0774] The server receives the uploaded media files.

[0775] Step 19:

[0776] The server then uses AI to edit the received media files, which can include automatically generating photo albums and cutting out unnecessary parts of videos.

[0777] Step 20:

[0778] The server reflects the emotional data in the edited content. For example, if the user is excited, the server may edit the content in a more dynamic and colorful way.

[0779] Step 21:

[0780] The server organizes the edited media files into an album format and sends it to the user's device.

[0781] Step 22:

[0782] The device displays the album to the user, allowing them to view and save it.

[0783] Example 2

[0784] 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."

[0785] In today's world, systems that efficiently acquire and provide information tailored to users' diverse hobbies and preferences are extremely important. However, conventional systems provide information without considering the user's emotional state, making it difficult to maximize the user experience. Another issue is the lack of accuracy in properly analyzing collected information and selecting information that matches the user's hobbies and preferences. Furthermore, there is no consistent system that can achieve multiple functions, such as automatically creating travel plans or providing image and video data in an album format.

[0786] 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.

[0787] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring the user's emotional state using a camera or sensor of the terminal, means for analyzing the collected data using an emotion engine and estimating the user's emotional state, means for adjusting the timing and content of notifying the selected information based on the user's emotional state, and means for notifying the user of the selected information. This makes it possible to provide optimal information that matches the user's hobbies and preferences in accordance with the user's emotional state.

[0788] A "user profile" is data summarizing the characteristics of a user, which is generated based on information about the user's hobbies and preferences.

[0789] "External data sources" refers to data providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[0790] An "emotion engine" refers to software or algorithms that analyze a user's emotional state and estimate emotions such as positive or negative.

[0791] "Cameras and sensors" refers to photo and video capture devices and various sensors installed on the device to capture the user's emotional state.

[0792] A "generative AI model" refers to an artificial intelligence model that learns from large amounts of data and makes highly accurate predictions and generation for various tasks.

[0793] "Push notification" refers to a notification format for sending information from a server to a device in real time.

[0794] "Automatic travel plan creation" refers to the function of searching for and suggesting the best means of transportation and accommodation based on the destination and conditions specified by the user.

[0795] "Editing image and video data" refers to the process of processing and editing photos and videos uploaded by users and organizing them into a specific format, such as an album.

[0796] "API" stands for Application Program Interface, and refers to an interface for exchanging data and functions between different software systems.

[0797] This invention is an information provision system based on a user's hobbies and preferences, and uses a generative AI model and emotion engine to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[0798] System Overview

[0799] Collection of User Information

[0800] Users use the device's GUI interface to input information about their hobbies and preferences. For example, they input specific information such as "favorite artists" or "interesting events." The device then sends this information to a server. The server analyzes the received information, creates a user profile, and stores it in a database. This analysis is performed using a Python natural language processing library (e.g., spaCy).

[0801] Examples:

[0802] A user types "Fan of Artist A" into their device. The device sends this information to a server, which analyzes it and adds attributes to the user profile, such as "Favorite Artist: Artist A."

[0803] Information collection and analysis

[0804] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. HTTP requests are used to collect data, and the collected data is integrated using the Pandas library. The server then analyzes the integrated data using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[0805] Examples:

[0806] The server uses the Twitter API to retrieve the latest tweets about "Artist A," aggregates them, and extracts the information that "Artist A's new album is out."

[0807] Use of emotion engine

[0808] The device uses built-in cameras and sensors to collect data that detects the user's emotional state. The collected data is sent to a server, which then uses emotion analysis libraries (e.g., OpenCV and DeepFace) to estimate the user's emotional state. This information is used to adjust the timing and content of notifications.

[0809] Examples:

[0810] The device uses a camera to detect the user's smile and sends the data to the server, which analyzes the data and estimates it as a "positive emotion."

[0811] Providing information

[0812] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it selects "information about the release of a new album by artist A" based on the user's hobbies and preferences, and provides it to a user in a positive emotional state. The selected information is sent to the user's device using a push notification. The device displays this notification in a GUI, allowing the user to access detailed information.

[0813] Examples:

[0814] The server selects "Artist A's new album release information" and sends a push notification using Firebase Cloud Messaging (FCM). The device displays this notification, allowing the user to easily access detailed information.

[0815] Example prompt:

[0816] "Please let me know the latest information about Artist A's new album."

[0817] Specific use cases

[0818] 1. If you want to know about your favorite artist's new album

[0819] The user types "Fan of Artist A" into the terminal.

[0820] The server analyzes the collected data using generative AI and extracts information such as "new album release."

[0821] The user's emotional state, captured by the device's camera and sensors, is sent to a server, and the most appropriate information is pushed to the user based on the analysis results.

[0822] 2. Automatic travel planning

[0823] The user inputs their preference to "attend a live event."

[0824] The server searches for and suggests the best means of transportation and accommodation.

[0825] 3. Create a memory album of your live event

[0826] The user uploads the images and videos they have taken to the server.

[0827] The server uses generated AI to edit the content and provides it in album format.

[0828] As described above, the present invention caters to the user's hobbies and preferences, and optimally provides a wide range of functions, such as providing the latest information, suggesting travel plans, and creating photo albums, in accordance with the user's emotional state, thereby maximizing the user experience.

[0829] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0830] System program processing flow

[0831] Step 1: Enter your user information

[0832] Specific behavior:

[0833] Users input information about their hobbies and preferences, such as their favorite artists or events of interest, through the GUI interface of their device.

[0834] input:

[0835] Information about your interests and preferences

[0836] Data processing:

[0837] The device converts the user's input into JSON format and formats it for sending to the server.

[0838] output:

[0839] Formatted JSON data of user information

[0840] Step 2: Submit user information

[0841] Specific behavior:

[0842] The terminal transmits the formatted user information to the server, using the HTTPS protocol for this transmission process.

[0843] input:

[0844] Formatted JSON data of user information

[0845] Data processing:

[0846] The device sends user information to the server

[0847] output:

[0848] User information sent to the server

[0849] Step 3: Parse and store user information

[0850] Specific behavior:

[0851] The server analyzes the received user information and generates a user profile using a Python natural language processing library (e.g., spaCy). The generated user profile is stored in a database.

[0852] input:

[0853] User information sent to the server

[0854] Data processing:

[0855] The server parses the user information using a natural language processing library.

[0856] Generate user profiles based on analysis results

[0857] output:

[0858] Generated User Profile

[0859] Step 4: Gather external data

[0860] Specific behavior:

[0861] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. API calls are made using HTTP requests.

[0862] input:

[0863] User Profile

[0864] Data processing:

[0865] The server calls the API to gather the necessary data from external sources.

[0866] output:

[0867] Data collected

[0868] Step 5: Data synthesis and analysis

[0869] Specific behavior:

[0870] The server aggregates the data collected from each API using the Pandas library, and the aggregated data is analyzed using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[0871] input:

[0872] Data collected

[0873] Data processing:

[0874] Integrate data and analyze it with generative AI models

[0875] Extract relevant information based on user profile

[0876] output:

[0877] Extracted related information

[0878] Step 6: Obtaining emotional states

[0879] Specific behavior:

[0880] The device uses built-in cameras and sensors to collect data that detects the user's emotional state, which is then sent to a server.

[0881] input:

[0882] Real-time user data (video, audio, etc.)

[0883] Data processing:

[0884] The device detects the user's emotional state using cameras and sensors.

[0885] output:

[0886] User emotional state data

[0887] Step 7: Analyze emotional state

[0888] Specific behavior:

[0889] The server analyzes the collected emotional state data using an emotion analysis library (e.g., OpenCV and DeepFace) to estimate the user's emotional state.

[0890] input:

[0891] User emotional state data

[0892] Data processing:

[0893] Analyze emotional states using the Sentiment Analysis Library

[0894] output:

[0895] Estimated user emotional state

[0896] Step 8: Selecting information

[0897] Specific behavior:

[0898] Based on the analysis results, the server selects the most appropriate information to provide to the user, taking into account the user's emotional state.

[0899] input:

[0900] Extracted related information

[0901] Estimated user emotional state

[0902] Data processing:

[0903] Integrate relevant information and emotional state to select the most appropriate information

[0904] output:

[0905] Selected Information

[0906] Step 9: Notification of Information

[0907] Specific behavior:

[0908] The server sends the selected information to the user's device via push notification using Firebase Cloud Messaging (FCM).

[0909] input:

[0910] Selected Information

[0911] Data processing:

[0912] Create and send push notifications using FCM

[0913] output:

[0914] Push notifications sent to the device

[0915] Step 10: Viewing Information

[0916] Specific behavior:

[0917] The terminal displays the notified information on a GUI, allowing the user to access detailed information.

[0918] input:

[0919] Push notifications sent to the device

[0920] Data processing:

[0921] Display notifications in the GUI interface

[0922] output:

[0923] Details that users can access

[0924] The above are the specific processing steps of the program of this system, which makes it possible to provide optimal information based on the user's hobbies and preferences, taking into account their emotional state.

[0925] (Application example 2)

[0926] 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."

[0927] While modern content delivery services generally provide personalized information based on users' hobbies and preferences, they rarely provide information that takes into account the user's momentary emotional state. This makes it difficult to provide optimal content that reflects the user's emotions. Furthermore, the lack of personalized notification and recommendation systems that reflect emotional state as data hinders the potential for significantly improving the user experience.

[0928] The specification process by the specification 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 receiving information on hobbies and preferences from the user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring and analyzing the user's emotional state, and means for notifying the user of information at optimal timing and with optimal content based on the emotional state. This makes it possible to provide optimal content that is tailored to the user's emotional state as well as their hobbies and preferences through personalized notifications.

[0929] "User information" refers to individual characteristics or data about a user, including their hobbies, preferences, emotional state, and so on.

[0930] A "user profile" is a data set that systematically summarizes a user's characteristics and is generated based on the user's information.

[0931] An "external data source" is an external information provider that provides information related to the user, such as a social networking site, an e-commerce site, a ticket information site, or an event information site.

[0932] "Emotional state" refers to the momentary emotional state the user is feeling, and is estimated based on data collected from cameras and sensors.

[0933] "Analysis" refers to processing collected information using analytical tools and generative AI models to extract meaningful data and patterns.

[0934] "Content" is any digital information that may be of interest to users, such as music, video, event information, images, or text.

[0935] "Notification" means the act of informing a user of selected information or content, and includes, for example, push notifications and in-app messages.

[0936] "Generative AI" refers to a technology or model that generates new information based on large amounts of data, and is used to provide content based on a user's preferences and emotional state.

[0937] An "API" is an interface for accessing information and functions between different software systems, and is used to collect and provide data.

[0938] The "emotion engine" is a software component for analyzing the user's emotional state, recognizing emotions by analyzing data from cameras and sensors.

[0939] The present invention is an information provision system based on a user's hobbies and preferences, and by combining a generation AI and an emotion engine, it provides optimal content according to the user's emotional state. The following describes the configuration of the system for implementing the invention and detailed operating procedures.

[0940] System configuration

[0941] 1. Hardware:

[0942] Devices: Smartphones, tablets, smart glasses, head-mounted displays

[0943] Sensors: Camera and biometric sensors to capture emotional state

[0944] 2. Software:

[0945] Generative AI model: A technology that generates new information based on large amounts of data. An example of this is the GPT (Generative Pre-trained Transformer) model.

[0946] Emotion engine: A software component for analyzing the user's emotional state. Examples include the Microsoft Emotion API and Google Cloud Vision API.

[0947] APIs: Used to collect data from social media, music streaming services, and video sharing platforms. Examples include the Spotify API and YouTube Data API.

[0948] Process Overview

[0949] 1. User Information Collection:

[0950] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, genres of interest, and the types of content they want to watch.

[0951] The terminal transmits the input information to the server.

[0952] 2. Create a user profile:

[0953] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[0954] 3. Information Collection and Analysis:

[0955] The server calls APIs to collect information from external data sources (social networks, music streaming services, video sharing platforms, etc.).

[0956] The collected data is analyzed using a generative AI model to select the most appropriate information based on the user profile.

[0957] 4. Use of Emotion Engine:

[0958] The device collects data using cameras and sensors to capture the user's emotional state.

[0959] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[0960] 5. Provision of Information:

[0961] The server selects the most appropriate information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[0962] The selected information is notified at the optimal timing and with the optimal content based on the user's emotional state.

[0963] Finally, the server sends this information to the user's device via a push notification, and the user can access the details through the device's GUI.

[0964] Specific examples

[0965] For example, if a user wants to know about a new album by their favorite artist A on a music streaming service, the system operates as follows:

[0966] The user types "fan of artist A" into the device.

[0967] The server collects the latest social media posts about Artist A, information about new albums on music streaming services, and more via the API.

[0968] The collected data is analyzed using a generative AI model to extract information such as "new album release."

[0969] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[0970] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[0971] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[0972] Prompt Sentence Examples

[0973] "The user's favorite artist is 'Artist A'. The user's current emotion is 'Happy'. Please recommend the best music and video list based on the user's current emotional state."

[0974] The present invention provides a more personalized user experience by providing optimal content based on the user's emotional state as well as their tastes and preferences.

[0975] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0976] Step 1: Collect user information

[0977] Users use devices (smartphones, tablets, smart glasses, head-mounted displays) to input information about their hobbies and preferences. This information includes favorite artists, genres of interest, and types of content they want to watch. The device then sends the input information to a server.

[0978] Input: Information about your hobbies and preferences that you enter

[0979] Data processing: Organizing the input information into structured data

[0980] Output: Send structured user information to the server

[0981] Step 2: Generate a user profile

[0982] The server analyzes the information received from the user and generates a user profile, which is then stored in a database.

[0983] Input: Structured user information sent from the device

[0984] Data calculation: Analyze user information and extract user preferences and patterns

[0985] Output: Generate a user profile and save it to the database.

[0986] Step 3: Gather information

[0987] The server calls APIs to collect the necessary information from external data sources (e.g., social media, music streaming services, video sharing platforms), collecting relevant information based on the user profile.

[0988] Input: User Profile

[0989] Data processing: Use APIs to gather information from external sources

[0990] Output: Relevant information collected

[0991] Step 4: Analyze the information

[0992] The server analyzes the collected information using a generative AI model, which is then used to select the most appropriate information based on the user profile.

[0993] Input: Collected relevant information

[0994] Data computation: Analyzes information using generative AI models to extract the most relevant information based on user profiles

[0995] Output: Optimized information list

[0996] Step 5: Obtaining emotional states

[0997] The device's camera and sensors are used to capture the user's emotional state, and facial and biometric sensor data is sent to the server.

[0998] Input: User facial and biometric sensor data

[0999] Data processing: Using an emotion engine to convert emotional states into a parseable format

[1000] Output: Send emotional state data to the server

[1001] Step 6: Analyze emotional state

[1002] The server uses an emotion engine to analyze the user's emotional state, and the analysis results are reflected in the notification information.

[1003] Input: Emotional state data

[1004] Data Computation: Estimating Emotional States Using an Emotion Engine

[1005] Output: Parsed user's emotional state

[1006] Step 7: Provide information

[1007] The server then selects the optimal information to be provided to the user based on the analysis results, adjusting the timing and content according to the user's emotional state. The server then sends the information to the user's device via push notification, allowing the user to access detailed information.

[1008] Input: Optimized information list, analyzed user emotional state

[1009] Data processing: Adjust notification timing and content to provide information in the most optimal format for users

[1010] Output: Providing information via push notification to the device

[1011] 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.

[1012] 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.

[1013] 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.

[1014] [Third embodiment]

[1015] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1016] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1017] 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).

[1018] 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.

[1019] 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.

[1020] 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).

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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."

[1027] This invention is an information provision system based on the user's hobbies and preferences, and mainly uses generation AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide the user with the most suitable information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1028] System Overview

[1029] 1. COLLECTION OF USER INFORMATION:

[1030] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[1031] The terminal transmits the input information to the server.

[1032] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1033] 2. Information Collection and Analysis:

[1034] The server collects the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1035] Specifically, the latest posts, product information, ticket sales information, etc. are obtained through the API.

[1036] The server analyzes the acquired data using generative AI and extracts information that matches the user profile.

[1037] 3. Provision of Information:

[1038] Based on the analysis results, the server selects the information to provide to the user.

[1039] The server sends the selected information to the device via push notification or email.

[1040] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1041] Specific function implementation examples

[1042] Examples of information gathering and analysis

[1043] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[1044] Type "Fan of Artist A" into your device.

[1045] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[1046] The collected data is analyzed using generative AI to extract information such as "new album release."

[1047] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1048] Example of automatic travel and outing plan creation

[1049] When a user wants to join a live event, the system works as follows:

[1050] The user inputs their preference to "attend a live event."

[1051] The terminal sends the input contents to the server.

[1052] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[1053] The optimal travel plan is automatically generated and suggested on the device.

[1054] Examples of media editing

[1055] If a user wants to create an album of their memories from a live event, the system works as follows:

[1056] Users upload the images and videos they have taken from their devices to the server.

[1057] The server edits the uploaded media using generative AI.

[1058] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[1059] As described above, the present invention is a system that caters to the user's hobbies and preferences and realizes a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums.

[1060] The processing flow will be explained below.

[1061] Step 1:

[1062] A user uses a terminal to input information about his or her hobbies and preferences.

[1063] Step 2:

[1064] The terminal transmits the input information to the server.

[1065] Step 3:

[1066] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1067] Step 4:

[1068] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1069] Step 5:

[1070] The server aggregates and analyzes the data collected from each API, using generative AI to perform text analysis and filtering to extract relevant information based on the user profile.

[1071] Step 6:

[1072] The server selects the information to be provided to the user based on the analysis results.

[1073] Step 7:

[1074] The server pushes the selected information to the user's device.

[1075] Step 8:

[1076] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1077] Step 9:

[1078] When a user wishes to travel or participate in an event, the user inputs the conditions through the terminal.

[1079] Step 10:

[1080] The terminal transmits the input conditions to the server.

[1081] Step 11:

[1082] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[1083] Step 12:

[1084] The server automatically generates the optimal travel plan and sends it to the terminal.

[1085] Step 13:

[1086] The terminal displays the proposed itinerary to the user.

[1087] Step 14:

[1088] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[1089] Step 15:

[1090] The server receives the uploaded media files.

[1091] Step 16:

[1092] The server then uses generative AI to edit the received media files, for example by automatically generating a photo album or cutting out unnecessary parts of a video.

[1093] Step 17:

[1094] The server organizes the edited media files into an album format and sends it to the user's device.

[1095] Step 18:

[1096] The terminal displays the album to the user for viewing.

[1097] Example 1

[1098] 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."

[1099] In modern society, it is difficult for individual users to find information that suits them from the vast amount of information available. In particular, it is difficult to efficiently collect information based on one's hobbies and preferences from a wide range of information sources, such as social networking sites, e-commerce sites, and event information, and make optimal choices. Furthermore, systems do not fully meet user needs for functions such as automatically creating plans for outings and trips, or compiling media data of memories and providing them as albums. There is a growing need for a system that can solve these issues and provide users with the most appropriate information.

[1100] 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.

[1101] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information using a generative AI model and selecting optimal information based on the user profile, means for notifying the user of the selected information, means for automatically creating outing or travel plans based on a user request, and means for analyzing and editing media data uploaded by the user and providing it in album format. This enables the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[1102] A "user profile" is a collection of data that reflects the characteristics and preferences of an individual user, generated based on information about the user's hobbies and preferences.

[1103] A "generative AI model" is a type of artificial intelligence that uses machine learning based on large amounts of data to generate text and analyze data.

[1104] "External data sources" refers to various information providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1105] "Analysis" is the process of applying statistical methods and machine learning algorithms to collected data to extract useful information.

[1106] A "push notification" is a notification message sent directly from a server to a device, and is a means of instantly informing users of new or updated information.

[1107] "Album format" refers to the arrangement and editing of image and video data into a photo book or video collection.

[1108] "Automatic travel plan creation" is the process of automatically generating an optimal travel schedule based on information such as the user's current location, destination, transportation, and accommodation.

[1109] "Media data" refers to digital content such as images, videos, and audio uploaded by users.

[1110] "API" stands for Application Programming Interface, an interface used by different software systems to communicate with each other and provide functionality to each other.

[1111] A "database" is an information system for efficiently storing, managing, and searching structured data.

[1112] This system collects and analyzes information based on the user's hobbies and preferences, and provides optimal information. A specific implementation example will be explained. This system mainly involves collaboration between a server and a terminal, and utilizes a generative AI model.

[1113] First, a user uses a device (e.g., a smartphone or PC) to input information about their hobbies and preferences. This includes information about their favorite artists, events they're interested in, and products they want to purchase. The device then sends the input information to a server via the Internet. The server analyzes the received information, creates a user profile that reflects the user's hobbies and preferences, and stores it in a database. A database management system such as MySQL is used to manage the database.

[1114] Next, the server collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. Specific data sources used include Twitter, Facebook, Amazon, Rakuten Ichiba, Ticketmaster, and Eventbrite. The necessary data is periodically obtained from these sources via API.

[1115] The collected data is analyzed on the server using a generative AI model (e.g., OpenAI's GPT-4). The purpose of the analysis is to extract the most relevant information for the user in accordance with the user profile. For example, if the user is a "fan of Artist A," the latest posts, product information, ticket sales information, etc. related to "Artist A" are identified and prepared to be provided to the user.

[1116] The selected information is sent from the server to the device via push notification or email. Push notifications are sent using services such as Firebase Cloud Messaging (FCM), and the device receives the notification and displays the information to the user. For example, the device's notification center might display a message saying, "Artist A's new album has been released."

[1117] If a user wants to attend a live event, the server receives the user's request and uses the Google Maps API to search for the best transportation and accommodation options, taking into account the user's current location, the event location, and the date and time. An optimal travel plan is automatically generated and presented to the device. This proposal includes route guidance to the venue and information on nearby hotels.

[1118] Furthermore, when users upload images and videos they have taken from their devices to the server, the server uses generative AI models to edit and organize these media data. For example, image recognition technology can be used to select important scenes and organize them into albums. The edited albums are then sent to the user's device, where they can be viewed and saved.

[1119] As a specific example of a prompt sentence, by entering "fan of artist A," information related to that fan will be collected and analyzed. This will enable the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[1120] The above is a specific embodiment for carrying out the present invention.

[1121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1122] Step 1:

[1123] A user uses a terminal to input information about their hobbies and preferences. This information includes their favorite artists, events they are interested in, and products they want to purchase. The input data (prompt text) is sent from the terminal to the server. For example, a user might input "I'm a fan of artist A." The terminal's operation is to send this input data, and the received data is passed on to the server.

[1124] Step 2:

[1125] The server analyzes the information about hobbies and preferences received from the device and generates a user profile based on the input data. This profile reflects the user's characteristics and preferences and is stored in a database. Specifically, the server performs the storage operation using a database management system (DBMS). The input here is the user's interest information, and the output is the user profile. Text analysis technology is used to process this data.

[1126] Step 3:

[1127] The server periodically collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. For example, the server may use an API to obtain tweets related to specific keywords from Twitter or product inventory information from an e-commerce site. The collected data is unorganized and serves as input data.

[1128] Step 4:

[1129] The server analyzes the collected, unorganized data using a generative AI model. The purpose of the analysis is to extract highly relevant information by comparing it with the user profile. The analysis process uses natural language processing technology to extract the necessary information (e.g., new album release information). The input is the collected external data and the user profile, and the output is the relevant information.

[1130] Step 5:

[1131] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it may select "information about the release of a new album by Artist A." At this stage, the selected information is obtained as output. The server notifies the user of this information via push notification or email.

[1132] Step 6:

[1133] The device displays the notification received from the server on the GUI, allowing the user to access detailed information. Specifically, the notification center on the smartphone displays "Artist A's new album has been released." The input is the notification data from the server, and the output is the display content.

[1134] Step 7:

[1135] If a user wants to participate in a live event, they input their request, "Participate in a live event." The device sends this input to the server. The input data includes the event name and desired date.

[1136] Step 8:

[1137] The server searches for the best means of transportation and accommodations, taking into account the user's current location, the location of the event, and the date and time. It uses the Google Maps API and other tools to obtain information on transportation and nearby accommodations. The input is the user's desired information, and the output is the best travel plan. The server automatically generates this plan and presents it to the device.

[1138] Step 9:

[1139] Users upload images and videos they have taken from their devices to a server. The server then analyzes and edits the uploaded media data using a generative AI model. For example, image recognition technology is used to extract important scenes and organize them into an album. The input is media data, and the output is edited album data.

[1140] Step 10:

[1141] The server sends the created album to the user's device, where it is displayed. The user can then view and save the completed album. Specifically, the edited album is added to the device's gallery app, where the user can access it at any time.

[1142] (Application example 1)

[1143] 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."

[1144] Traditional online shopping sites require users to search for products they are interested in themselves, which is inefficient. Furthermore, there are few ways for users to obtain optimal product information based on their hobbies and preferences. Furthermore, there are challenges in improving the reliability of product reviews and the accuracy of recommendations based on user profiles.

[1145] 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.

[1146] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for notifying the user of the selected information, and means for analyzing product reviews using a generative AI model and recommending products that match the user profile, thereby enabling users to efficiently obtain optimal product information based on their hobbies and preferences.

[1147] A "user profile" is an individual data set generated based on information about a user's hobbies and preferences.

[1148] "External data sources" are information sources that are publicly available on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1149] A "generative AI model" is an artificial intelligence model that generates and analyzes data using machine learning algorithms such as generative adversarial networks (GANs) and BERT.

[1150] "Collected Information" means data obtained from external sources, including information required based on the user's interests and preferences.

[1151] "Recommendation" refers to selecting and presenting the most suitable products and information using a generative AI model based on a user profile.

[1152] "Notification" refers to the means of sending collected and analyzed information to the user's device via push notification or email.

[1153] The present invention is an information provision system based on a user's hobbies and preferences, which uses generative AI to collect and analyze information from external data sources and provide optimal information to the user. This system can be implemented as a smartphone application for online shopping sites. Specific embodiments for implementing the present invention are described below.

[1154] Creating a User Profile

[1155] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is sent from the device to a server, which then generates an individual user profile based on the user's hobbies and preferences. This data is stored in a database and used for subsequent recommendation processing.

[1156] Information collection and analysis

[1157] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). Specifically, it obtains the latest product information and reviews through APIs. The collected data is analyzed using a generative AI model (e.g., Hugging Face's BERT model) to extract information that matches the user profile.

[1158] Product recommendation

[1159] Based on the analyzed information, the server selects the products and services that best fit the user profile. The generative AI model also analyzes product reviews and prioritizes recommendations for products with positive ratings.

[1160] Notification means

[1161] The selected information is sent from the server to the user's device via push notification or email. The user receives the notification and can access detailed information. Using the GUI (Graphical User Interface) on the device, the user can check the details of the recommended products and purchase or view them.

[1162] Specific Examples

[1163] For example, if a user is interested in "sports goods," the system will analyze reviews focusing on products in categories such as "sports," "exercise," and "equipment," and select products with favorable reviews.

[1164] Hardware and software used

[1165] Hardware: Smartphone (iOS or Android)

[1166] Software: Python 3.8+, requests library (to retrieve data from the API), transformers library (to generate AI models)

[1167] In this way, users can efficiently obtain the most suitable product information based on their hobbies and preferences. This system aims to increase user satisfaction and improve the shopping experience on online shopping sites.

[1168] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1169] Step 1:

[1170] Entering and collecting user information

[1171] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is entered through the device's GUI and sent from the device to the server. The server analyzes the received information and creates a user profile.

[1172] Input: Information about the user's hobbies and preferences

[1173] Output: User profile

[1174] Step 2:

[1175] Collection of information

[1176] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). First, it uses the API of each data source to obtain product information, reviews, and ticket information. This involves sending queries to the database to obtain the required data.

[1177] Input: Request for information from an API of an external data source

[1178] Output: Collected product information, reviews, and ticket information

[1179] Step 3:

[1180] Analysis of information

[1181] The server analyzes the collected data using a generative AI model (e.g., Hugging Face's BERT model). First, it analyzes each product's review and description to determine whether it is a positive or negative review. Based on this analysis, it selects products and services that the user is likely to like, based on their user profile.

[1182] Input: Collected product information, reviews, ticket information

[1183] Output: Best products and services selected based on user profile

[1184] Step 4:

[1185] Product Recommendations and Notifications

[1186] Based on the analyzed information, the server selects the products and services that best fit the user profile, then sends the selected information to the user's device via push notification or email, and the device displays the received notification and allows the user to access more information.

[1187] Input: Products and services selected based on your user profile

[1188] Output: Push notification and email notification to the user

[1189] Step 5:

[1190] Viewing and interacting with detailed information

[1191] The user receives a notification on their device and taps it to access more information. The device then provides a GUI to display the details, allowing the user to view, purchase, or browse the recommended product or service.

[1192] Input: Product and service details selected based on your user profile

[1193] Output: Display of detailed information, user interactions (purchase, view, etc.)

[1194] 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.

[1195] This invention is an information provision system based on a user's hobbies and preferences. It uses generative AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. Furthermore, by combining it with an emotion engine, it is possible to provide information and edit content according to the user's emotional state. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1196] System Overview

[1197] 1. COLLECTION OF USER INFORMATION:

[1198] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[1199] The terminal transmits the input information to the server.

[1200] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1201] 2. Information Collection and Analysis:

[1202] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1203] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[1204] 3. Use of Emotion Engine:

[1205] The device collects data using cameras and sensors to capture the user's emotional state.

[1206] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[1207] 4. Provision of Information:

[1208] The server selects the information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[1209] The timing and content of notifications are adjusted according to the user's emotional state, providing information that suits the user's mood.

[1210] The server pushes the selected information to the user's device.

[1211] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1212] Specific function implementation examples

[1213] Information gathering and analysis and use of emotion engines

[1214] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[1215] Type "Fan of Artist A" into your device.

[1216] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[1217] The collected data is analyzed using generative AI to extract information such as "new album release."

[1218] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[1219] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[1220] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1221] Example of automatic travel and outing plan creation

[1222] When a user wants to join a live event, the system works as follows:

[1223] The user inputs their preference to "attend a live event."

[1224] The terminal sends the input contents to the server.

[1225] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[1226] The optimal travel plan is automatically generated and suggested on the device.

[1227] Examples of media editing

[1228] If a user wants to create an album of their memories from a live event, the system works as follows:

[1229] Users upload the images and videos they have taken from their devices to the server.

[1230] The server then uses generative AI to edit the uploaded media, such as automatically generating photo albums or cutting out unnecessary parts of videos.

[1231] The device's camera and sensors are used to capture the user's emotional state and the editing is then reflected in the content. For example, if the user is emotionally charged, the editing will be more dramatic.

[1232] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[1233] As described above, the present invention is a system that caters to the user's hobbies and preferences and optimally provides a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums, according to the user's emotional state.

[1234] The processing flow will be explained below.

[1235] Step 1:

[1236] Users use the terminal to input information about their hobbies and preferences, such as their favorite artists, events they are interested in, and merchandise they would like to purchase.

[1237] Step 2:

[1238] The terminal transmits the input information to the server.

[1239] Step 3:

[1240] The server analyzes the information received, generates a user profile and stores it in a database to record individual user preferences for further processing.

[1241] Step 4:

[1242] The server calls the API to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites. This API call is executed periodically.

[1243] Step 5:

[1244] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[1245] Step 6:

[1246] The device collects data using cameras and sensors to capture the user's emotional state in real time, and estimates emotions by analyzing their location, movements, and facial expressions.

[1247] Step 7:

[1248] The device transmits the collected emotion data to the server.

[1249] Step 8:

[1250] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state, which is then used in combination with the user profile.

[1251] Step 9:

[1252] The server then selects the information to provide to the user based on the analysis results, taking into account the user's emotional state. For example, when the user is relaxed, it is desirable to provide lighter information.

[1253] Step 10:

[1254] The server pushes the selected information to the user's device.

[1255] Step 11:

[1256] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1257] Step 12:

[1258] When a user wishes to travel or participate in an event, they input their requirements through the terminal, such as the destination, schedule, and budget.

[1259] Step 13:

[1260] The terminal transmits the input conditions to the server.

[1261] Step 14:

[1262] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[1263] Step 15:

[1264] The server automatically generates the optimal travel plan and sends it to the terminal.

[1265] Step 16:

[1266] The terminal displays the proposed travel plan to the user, preferably in a visually easy-to-understand format such as a map or schedule.

[1267] Step 17:

[1268] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[1269] Step 18:

[1270] The server receives the uploaded media files.

[1271] Step 19:

[1272] The server then uses AI to edit the received media files, which can include automatically generating photo albums and cutting out unnecessary parts of videos.

[1273] Step 20:

[1274] The server reflects the emotional data in the edited content. For example, if the user is excited, the server may edit the content in a more dynamic and colorful way.

[1275] Step 21:

[1276] The server organizes the edited media files into an album format and sends it to the user's device.

[1277] Step 22:

[1278] The device displays the album to the user, allowing them to view and save it.

[1279] Example 2

[1280] 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."

[1281] In today's world, systems that efficiently acquire and provide information tailored to users' diverse hobbies and preferences are extremely important. However, conventional systems provide information without considering the user's emotional state, making it difficult to maximize the user experience. Another issue is the lack of accuracy in properly analyzing collected information and selecting information that matches the user's hobbies and preferences. Furthermore, there is no consistent system that can achieve multiple functions, such as automatically creating travel plans or providing image and video data in an album format.

[1282] 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.

[1283] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring the user's emotional state using a camera or sensor of the terminal, means for analyzing the collected data using an emotion engine and estimating the user's emotional state, means for adjusting the timing and content of notifying the selected information based on the user's emotional state, and means for notifying the user of the selected information. This makes it possible to provide optimal information that matches the user's hobbies and preferences in accordance with the user's emotional state.

[1284] A "user profile" is data summarizing the characteristics of a user, which is generated based on information about the user's hobbies and preferences.

[1285] "External data sources" refers to data providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1286] An "emotion engine" refers to software or algorithms that analyze a user's emotional state and estimate emotions such as positive or negative.

[1287] "Cameras and sensors" refers to photo and video capture devices and various sensors installed on the device to capture the user's emotional state.

[1288] A "generative AI model" refers to an artificial intelligence model that learns from large amounts of data and makes highly accurate predictions and generation for various tasks.

[1289] "Push notification" refers to a notification format for sending information from a server to a device in real time.

[1290] "Automatic travel plan creation" refers to the function of searching for and suggesting the best means of transportation and accommodation based on the destination and conditions specified by the user.

[1291] "Editing image and video data" refers to the process of processing and editing photos and videos uploaded by users and organizing them into a specific format, such as an album.

[1292] "API" stands for Application Program Interface, and refers to an interface for exchanging data and functions between different software systems.

[1293] This invention is an information provision system based on a user's hobbies and preferences, and uses a generative AI model and emotion engine to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1294] System Overview

[1295] Collection of User Information

[1296] Users use the device's GUI interface to input information about their hobbies and preferences. For example, they input specific information such as "favorite artists" or "interesting events." The device then sends this information to a server. The server analyzes the received information, creates a user profile, and stores it in a database. This analysis is performed using a Python natural language processing library (e.g., spaCy).

[1297] Examples:

[1298] A user types "Fan of Artist A" into their device. The device sends this information to a server, which analyzes it and adds attributes to the user profile, such as "Favorite Artist: Artist A."

[1299] Information collection and analysis

[1300] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. HTTP requests are used to collect data, and the collected data is integrated using the Pandas library. The server then analyzes the integrated data using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[1301] Examples:

[1302] The server uses the Twitter API to retrieve the latest tweets about "Artist A," aggregates them, and extracts the information that "Artist A's new album is out."

[1303] Use of emotion engine

[1304] The device uses built-in cameras and sensors to collect data that detects the user's emotional state. The collected data is sent to a server, which then uses emotion analysis libraries (e.g., OpenCV and DeepFace) to estimate the user's emotional state. This information is used to adjust the timing and content of notifications.

[1305] Examples:

[1306] The device uses a camera to detect the user's smile and sends the data to the server, which analyzes the data and estimates it as a "positive emotion."

[1307] Providing information

[1308] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it selects "information about the release of a new album by artist A" based on the user's hobbies and preferences, and provides it to a user in a positive emotional state. The selected information is sent to the user's device using a push notification. The device displays this notification in a GUI, allowing the user to access detailed information.

[1309] Examples:

[1310] The server selects "Artist A's new album release information" and sends a push notification using Firebase Cloud Messaging (FCM). The device displays this notification, allowing the user to easily access detailed information.

[1311] Example prompt:

[1312] "Please let me know the latest information about Artist A's new album."

[1313] Specific use cases

[1314] 1. If you want to know about your favorite artist's new album

[1315] The user types "Fan of Artist A" into the terminal.

[1316] The server analyzes the collected data using generative AI and extracts information such as "new album release."

[1317] The user's emotional state, captured by the device's camera and sensors, is sent to a server, and the most appropriate information is pushed to the user based on the analysis results.

[1318] 2. Automatic travel planning

[1319] The user inputs their preference to "attend a live event."

[1320] The server searches for and suggests the best means of transportation and accommodation.

[1321] 3. Create a memory album of your live event

[1322] The user uploads the images and videos they have taken to the server.

[1323] The server uses generated AI to edit the content and provides it in album format.

[1324] As described above, the present invention caters to the user's hobbies and preferences, and optimally provides a wide range of functions, such as providing the latest information, suggesting travel plans, and creating photo albums, in accordance with the user's emotional state, thereby maximizing the user experience.

[1325] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1326] System program processing flow

[1327] Step 1: Enter your user information

[1328] Specific behavior:

[1329] Users input information about their hobbies and preferences, such as their favorite artists or events of interest, through the GUI interface of their device.

[1330] input:

[1331] Information about your interests and preferences

[1332] Data processing:

[1333] The device converts the user's input into JSON format and formats it for sending to the server.

[1334] output:

[1335] Formatted JSON data of user information

[1336] Step 2: Submit user information

[1337] Specific behavior:

[1338] The terminal transmits the formatted user information to the server, using the HTTPS protocol for this transmission process.

[1339] input:

[1340] Formatted JSON data of user information

[1341] Data processing:

[1342] The device sends user information to the server

[1343] output:

[1344] User information sent to the server

[1345] Step 3: Parse and store user information

[1346] Specific behavior:

[1347] The server analyzes the received user information and generates a user profile using a Python natural language processing library (e.g., spaCy). The generated user profile is stored in a database.

[1348] input:

[1349] User information sent to the server

[1350] Data processing:

[1351] The server parses the user information using a natural language processing library.

[1352] Generate user profiles based on analysis results

[1353] output:

[1354] Generated User Profile

[1355] Step 4: Gather external data

[1356] Specific behavior:

[1357] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. API calls are made using HTTP requests.

[1358] input:

[1359] User Profile

[1360] Data processing:

[1361] The server calls the API to gather the necessary data from external sources.

[1362] output:

[1363] Data collected

[1364] Step 5: Data synthesis and analysis

[1365] Specific behavior:

[1366] The server aggregates the data collected from each API using the Pandas library, and the aggregated data is analyzed using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[1367] input:

[1368] Data collected

[1369] Data processing:

[1370] Integrate data and analyze it with generative AI models

[1371] Extract relevant information based on user profile

[1372] output:

[1373] Extracted related information

[1374] Step 6: Obtaining emotional states

[1375] Specific behavior:

[1376] The device uses built-in cameras and sensors to collect data that detects the user's emotional state, which is then sent to a server.

[1377] input:

[1378] Real-time user data (video, audio, etc.)

[1379] Data processing:

[1380] The device detects the user's emotional state using cameras and sensors.

[1381] output:

[1382] User emotional state data

[1383] Step 7: Analyze emotional state

[1384] Specific behavior:

[1385] The server analyzes the collected emotional state data using an emotion analysis library (e.g., OpenCV and DeepFace) to estimate the user's emotional state.

[1386] input:

[1387] User emotional state data

[1388] Data processing:

[1389] Analyze emotional states using the Sentiment Analysis Library

[1390] output:

[1391] Estimated user emotional state

[1392] Step 8: Selecting information

[1393] Specific behavior:

[1394] Based on the analysis results, the server selects the most appropriate information to provide to the user, taking into account the user's emotional state.

[1395] input:

[1396] Extracted related information

[1397] Estimated user emotional state

[1398] Data processing:

[1399] Integrate relevant information and emotional state to select the most appropriate information

[1400] output:

[1401] Selected Information

[1402] Step 9: Notification of Information

[1403] Specific behavior:

[1404] The server sends the selected information to the user's device via push notification using Firebase Cloud Messaging (FCM).

[1405] input:

[1406] Selected Information

[1407] Data processing:

[1408] Create and send push notifications using FCM

[1409] output:

[1410] Push notifications sent to the device

[1411] Step 10: Viewing Information

[1412] Specific behavior:

[1413] The terminal displays the notified information on a GUI, allowing the user to access detailed information.

[1414] input:

[1415] Push notifications sent to the device

[1416] Data processing:

[1417] Display notifications in the GUI interface

[1418] output:

[1419] Details that users can access

[1420] The above are the specific processing steps of the program of this system, which makes it possible to provide optimal information based on the user's hobbies and preferences, taking into account their emotional state.

[1421] (Application example 2)

[1422] 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."

[1423] While modern content delivery services generally provide personalized information based on users' hobbies and preferences, they rarely provide information that takes into account the user's momentary emotional state. This makes it difficult to provide optimal content that reflects the user's emotions. Furthermore, the lack of personalized notification and recommendation systems that reflect emotional state as data hinders the potential for significantly improving the user experience.

[1424] The specification process by the specification 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 receiving information on hobbies and preferences from the user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring and analyzing the user's emotional state, and means for notifying the user of information at optimal timing and with optimal content based on the emotional state. This makes it possible to provide optimal content that is tailored to the user's emotional state as well as their hobbies and preferences through personalized notifications.

[1425] "User information" refers to individual characteristics or data about a user, including their hobbies, preferences, emotional state, and so on.

[1426] A "user profile" is a data set that systematically summarizes a user's characteristics and is generated based on the user's information.

[1427] An "external data source" is an external information provider that provides information related to the user, such as a social networking site, an e-commerce site, a ticket information site, or an event information site.

[1428] "Emotional state" refers to the momentary emotional state the user is feeling, and is estimated based on data collected from cameras and sensors.

[1429] "Analysis" refers to processing collected information using analytical tools and generative AI models to extract meaningful data and patterns.

[1430] "Content" is any digital information that may be of interest to users, such as music, video, event information, images, or text.

[1431] "Notification" means the act of informing a user of selected information or content, and includes, for example, push notifications and in-app messages.

[1432] "Generative AI" refers to a technology or model that generates new information based on large amounts of data, and is used to provide content based on a user's preferences and emotional state.

[1433] An "API" is an interface for accessing information and functions between different software systems, and is used to collect and provide data.

[1434] The "emotion engine" is a software component for analyzing the user's emotional state, recognizing emotions by analyzing data from cameras and sensors.

[1435] The present invention is an information provision system based on a user's hobbies and preferences, and by combining a generation AI and an emotion engine, it provides optimal content according to the user's emotional state. The following describes the configuration of the system for implementing the invention and detailed operating procedures.

[1436] System configuration

[1437] 1. Hardware:

[1438] Devices: Smartphones, tablets, smart glasses, head-mounted displays

[1439] Sensors: Camera and biometric sensors to capture emotional state

[1440] 2. Software:

[1441] Generative AI model: A technology that generates new information based on large amounts of data. An example of this is the GPT (Generative Pre-trained Transformer) model.

[1442] Emotion engine: A software component for analyzing the user's emotional state. Examples include the Microsoft Emotion API and Google Cloud Vision API.

[1443] APIs: Used to collect data from social media, music streaming services, and video sharing platforms. Examples include the Spotify API and YouTube Data API.

[1444] Process Overview

[1445] 1. User Information Collection:

[1446] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, genres of interest, and the types of content they want to watch.

[1447] The terminal transmits the input information to the server.

[1448] 2. Create a user profile:

[1449] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1450] 3. Information Collection and Analysis:

[1451] The server calls APIs to collect information from external data sources (social networks, music streaming services, video sharing platforms, etc.).

[1452] The collected data is analyzed using a generative AI model to select the most appropriate information based on the user profile.

[1453] 4. Use of Emotion Engine:

[1454] The device collects data using cameras and sensors to capture the user's emotional state.

[1455] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[1456] 5. Provision of Information:

[1457] The server selects the most appropriate information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[1458] The selected information is notified at the optimal timing and with the optimal content based on the user's emotional state.

[1459] Finally, the server sends this information to the user's device via a push notification, and the user can access the details through the device's GUI.

[1460] Specific examples

[1461] For example, if a user wants to know about a new album by their favorite artist A on a music streaming service, the system operates as follows:

[1462] The user types "fan of artist A" into the device.

[1463] The server collects the latest social media posts about Artist A, information about new albums on music streaming services, and more via the API.

[1464] The collected data is analyzed using a generative AI model to extract information such as "new album release."

[1465] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[1466] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[1467] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1468] Prompt Sentence Examples

[1469] "The user's favorite artist is 'Artist A'. The user's current emotion is 'Happy'. Please recommend the best music and video list based on the user's current emotional state."

[1470] The present invention provides a more personalized user experience by providing optimal content based on the user's emotional state as well as their tastes and preferences.

[1471] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1472] Step 1: Collect user information

[1473] Users use devices (smartphones, tablets, smart glasses, head-mounted displays) to input information about their hobbies and preferences. This information includes favorite artists, genres of interest, and types of content they want to watch. The device then sends the input information to a server.

[1474] Input: Information about your hobbies and preferences that you enter

[1475] Data processing: Organizing the input information into structured data

[1476] Output: Send structured user information to the server

[1477] Step 2: Generate a user profile

[1478] The server analyzes the information received from the user and generates a user profile, which is then stored in a database.

[1479] Input: Structured user information sent from the device

[1480] Data calculation: Analyze user information and extract user preferences and patterns

[1481] Output: Generate a user profile and save it to the database.

[1482] Step 3: Gather information

[1483] The server calls APIs to collect the necessary information from external data sources (e.g., social media, music streaming services, video sharing platforms), collecting relevant information based on the user profile.

[1484] Input: User Profile

[1485] Data processing: Use APIs to gather information from external sources

[1486] Output: Relevant information collected

[1487] Step 4: Analyze the information

[1488] The server analyzes the collected information using a generative AI model, which is then used to select the most appropriate information based on the user profile.

[1489] Input: Collected relevant information

[1490] Data computation: Analyzes information using generative AI models to extract the most relevant information based on user profiles

[1491] Output: Optimized information list

[1492] Step 5: Obtaining emotional states

[1493] The device's camera and sensors are used to capture the user's emotional state, and facial and biometric sensor data is sent to the server.

[1494] Input: User facial and biometric sensor data

[1495] Data processing: Using an emotion engine to convert emotional states into a parseable format

[1496] Output: Send emotional state data to the server

[1497] Step 6: Analyze emotional state

[1498] The server uses an emotion engine to analyze the user's emotional state, and the analysis results are reflected in the notification information.

[1499] Input: Emotional state data

[1500] Data Computation: Estimating Emotional States Using an Emotion Engine

[1501] Output: Parsed user's emotional state

[1502] Step 7: Provide information

[1503] The server then selects the optimal information to be provided to the user based on the analysis results, adjusting the timing and content according to the user's emotional state. The server then sends the information to the user's device via push notification, allowing the user to access detailed information.

[1504] Input: Optimized information list, analyzed user emotional state

[1505] Data processing: Adjust notification timing and content to provide information in the most optimal format for users

[1506] Output: Providing information via push notification to the device

[1507] 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.

[1508] 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.

[1509] 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.

[1510] [Fourth embodiment]

[1511] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1512] 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.

[1513] 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).

[1514] 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.

[1515] 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.

[1516] 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).

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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.

[1523] 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."

[1524] This invention is an information provision system based on the user's hobbies and preferences, and mainly uses generation AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide the user with the most suitable information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1525] System Overview

[1526] 1. COLLECTION OF USER INFORMATION:

[1527] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[1528] The terminal transmits the input information to the server.

[1529] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1530] 2. Information Collection and Analysis:

[1531] The server collects the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1532] Specifically, the latest posts, product information, ticket sales information, etc. are obtained through the API.

[1533] The server analyzes the acquired data using generative AI and extracts information that matches the user profile.

[1534] 3. Provision of Information:

[1535] Based on the analysis results, the server selects the information to provide to the user.

[1536] The server sends the selected information to the device via push notification or email.

[1537] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1538] Specific function implementation examples

[1539] Examples of information gathering and analysis

[1540] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[1541] Type "Fan of Artist A" into your device.

[1542] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[1543] The collected data is analyzed using generative AI to extract information such as "new album release."

[1544] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1545] Example of automatic travel and outing plan creation

[1546] When a user wants to join a live event, the system works as follows:

[1547] The user inputs their preference to "attend a live event."

[1548] The terminal sends the input contents to the server.

[1549] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[1550] The optimal travel plan is automatically generated and suggested on the device.

[1551] Examples of media editing

[1552] If a user wants to create an album of their memories from a live event, the system works as follows:

[1553] Users upload the images and videos they have taken from their devices to the server.

[1554] The server edits the uploaded media using generative AI.

[1555] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[1556] As described above, the present invention is a system that caters to the user's hobbies and preferences and realizes a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums.

[1557] The processing flow will be explained below.

[1558] Step 1:

[1559] A user uses a terminal to input information about his or her hobbies and preferences.

[1560] Step 2:

[1561] The terminal transmits the input information to the server.

[1562] Step 3:

[1563] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1564] Step 4:

[1565] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1566] Step 5:

[1567] The server aggregates and analyzes the data collected from each API, using generative AI to perform text analysis and filtering to extract relevant information based on the user profile.

[1568] Step 6:

[1569] The server selects the information to be provided to the user based on the analysis results.

[1570] Step 7:

[1571] The server pushes the selected information to the user's device.

[1572] Step 8:

[1573] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1574] Step 9:

[1575] When a user wishes to travel or participate in an event, the user inputs the conditions through the terminal.

[1576] Step 10:

[1577] The terminal transmits the input conditions to the server.

[1578] Step 11:

[1579] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[1580] Step 12:

[1581] The server automatically generates the optimal travel plan and sends it to the terminal.

[1582] Step 13:

[1583] The terminal displays the proposed itinerary to the user.

[1584] Step 14:

[1585] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[1586] Step 15:

[1587] The server receives the uploaded media files.

[1588] Step 16:

[1589] The server then uses generative AI to edit the received media files, for example by automatically generating a photo album or cutting out unnecessary parts of a video.

[1590] Step 17:

[1591] The server organizes the edited media files into an album format and sends it to the user's device.

[1592] Step 18:

[1593] The terminal displays the album to the user for viewing.

[1594] Example 1

[1595] 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."

[1596] In modern society, it is difficult for individual users to find information that suits them from the vast amount of information available. In particular, it is difficult to efficiently collect information based on one's hobbies and preferences from a wide range of information sources, such as social networking sites, e-commerce sites, and event information, and make optimal choices. Furthermore, systems do not fully meet user needs for functions such as automatically creating plans for outings and trips, or compiling media data of memories and providing them as albums. There is a growing need for a system that can solve these issues and provide users with the most appropriate information.

[1597] 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.

[1598] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information using a generative AI model and selecting optimal information based on the user profile, means for notifying the user of the selected information, means for automatically creating outing or travel plans based on a user request, and means for analyzing and editing media data uploaded by the user and providing it in album format. This enables the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[1599] A "user profile" is a collection of data that reflects the characteristics and preferences of an individual user, generated based on information about the user's hobbies and preferences.

[1600] A "generative AI model" is a type of artificial intelligence that uses machine learning based on large amounts of data to generate text and analyze data.

[1601] "External data sources" refers to various information providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1602] "Analysis" is the process of applying statistical methods and machine learning algorithms to collected data to extract useful information.

[1603] A "push notification" is a notification message sent directly from a server to a device, and is a means of instantly informing users of new or updated information.

[1604] "Album format" refers to the arrangement and editing of image and video data into a photo book or video collection.

[1605] "Automatic travel plan creation" is the process of automatically generating an optimal travel schedule based on information such as the user's current location, destination, transportation, and accommodation.

[1606] "Media data" refers to digital content such as images, videos, and audio uploaded by users.

[1607] "API" stands for Application Programming Interface, an interface used by different software systems to communicate with each other and provide functionality to each other.

[1608] A "database" is an information system for efficiently storing, managing, and searching structured data.

[1609] This system collects and analyzes information based on the user's hobbies and preferences, and provides optimal information. A specific implementation example will be explained. This system mainly involves collaboration between a server and a terminal, and utilizes a generative AI model.

[1610] First, a user uses a device (e.g., a smartphone or PC) to input information about their hobbies and preferences. This includes information about their favorite artists, events they're interested in, and products they want to purchase. The device then sends the input information to a server via the Internet. The server analyzes the received information, creates a user profile that reflects the user's hobbies and preferences, and stores it in a database. A database management system such as MySQL is used to manage the database.

[1611] Next, the server collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. Specific data sources used include Twitter, Facebook, Amazon, Rakuten Ichiba, Ticketmaster, and Eventbrite. The necessary data is periodically obtained from these sources via API.

[1612] The collected data is analyzed on the server using a generative AI model (e.g., OpenAI's GPT-4). The purpose of the analysis is to extract the most relevant information for the user in accordance with the user profile. For example, if the user is a "fan of Artist A," the latest posts, product information, ticket sales information, etc. related to "Artist A" are identified and prepared to be provided to the user.

[1613] The selected information is sent from the server to the device via push notification or email. Push notifications are sent using services such as Firebase Cloud Messaging (FCM), and the device receives the notification and displays the information to the user. For example, the device's notification center might display a message saying, "Artist A's new album has been released."

[1614] If a user wants to attend a live event, the server receives the user's request and uses the Google Maps API to search for the best transportation and accommodation options, taking into account the user's current location, the event location, and the date and time. An optimal travel plan is automatically generated and presented to the device. This proposal includes route guidance to the venue and information on nearby hotels.

[1615] Furthermore, when users upload images and videos they have taken from their devices to the server, the server uses generative AI models to edit and organize these media data. For example, image recognition technology can be used to select important scenes and organize them into albums. The edited albums are then sent to the user's device, where they can be viewed and saved.

[1616] As a specific example of a prompt sentence, by entering "fan of artist A," information related to that fan will be collected and analyzed. This will enable the provision of information optimized for the user's hobbies and preferences, the automatic creation of efficient travel plans, and the editing and provision of media data.

[1617] The above is a specific embodiment for carrying out the present invention.

[1618] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1619] Step 1:

[1620] A user uses a terminal to input information about their hobbies and preferences. This information includes their favorite artists, events they are interested in, and products they want to purchase. The input data (prompt text) is sent from the terminal to the server. For example, a user might input "I'm a fan of artist A." The terminal's operation is to send this input data, and the received data is passed on to the server.

[1621] Step 2:

[1622] The server analyzes the information about hobbies and preferences received from the device and generates a user profile based on the input data. This profile reflects the user's characteristics and preferences and is stored in a database. Specifically, the server performs the storage operation using a database management system (DBMS). The input here is the user's interest information, and the output is the user profile. Text analysis technology is used to process this data.

[1623] Step 3:

[1624] The server periodically collects information from external data sources such as social media, e-commerce sites, ticket information sites, and event information sites. For example, the server may use an API to obtain tweets related to specific keywords from Twitter or product inventory information from an e-commerce site. The collected data is unorganized and serves as input data.

[1625] Step 4:

[1626] The server analyzes the collected, unorganized data using a generative AI model. The purpose of the analysis is to extract highly relevant information by comparing it with the user profile. The analysis process uses natural language processing technology to extract the necessary information (e.g., new album release information). The input is the collected external data and the user profile, and the output is the relevant information.

[1627] Step 5:

[1628] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it may select "information about the release of a new album by Artist A." At this stage, the selected information is obtained as output. The server notifies the user of this information via push notification or email.

[1629] Step 6:

[1630] The device displays the notification received from the server on the GUI, allowing the user to access detailed information. Specifically, the notification center on the smartphone displays "Artist A's new album has been released." The input is the notification data from the server, and the output is the display content.

[1631] Step 7:

[1632] If a user wants to participate in a live event, they input their request, "Participate in a live event." The device sends this input to the server. The input data includes the event name and desired date.

[1633] Step 8:

[1634] The server searches for the best means of transportation and accommodations, taking into account the user's current location, the location of the event, and the date and time. It uses the Google Maps API and other tools to obtain information on transportation and nearby accommodations. The input is the user's desired information, and the output is the best travel plan. The server automatically generates this plan and presents it to the device.

[1635] Step 9:

[1636] Users upload images and videos they have taken from their devices to a server. The server then analyzes and edits the uploaded media data using a generative AI model. For example, image recognition technology is used to extract important scenes and organize them into an album. The input is media data, and the output is edited album data.

[1637] Step 10:

[1638] The server sends the created album to the user's device, where it is displayed. The user can then view and save the completed album. Specifically, the edited album is added to the device's gallery app, where the user can access it at any time.

[1639] (Application example 1)

[1640] 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."

[1641] Traditional online shopping sites require users to search for products they are interested in themselves, which is inefficient. Furthermore, there are few ways for users to obtain optimal product information based on their hobbies and preferences. Furthermore, there are challenges in improving the reliability of product reviews and the accuracy of recommendations based on user profiles.

[1642] 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.

[1643] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for notifying the user of the selected information, and means for analyzing product reviews using a generative AI model and recommending products that match the user profile, thereby enabling users to efficiently obtain optimal product information based on their hobbies and preferences.

[1644] A "user profile" is an individual data set generated based on information about a user's hobbies and preferences.

[1645] "External data sources" are information sources that are publicly available on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1646] A "generative AI model" is an artificial intelligence model that generates and analyzes data using machine learning algorithms such as generative adversarial networks (GANs) and BERT.

[1647] "Collected Information" means data obtained from external sources, including information required based on the user's interests and preferences.

[1648] "Recommendation" refers to selecting and presenting the most suitable products and information using a generative AI model based on a user profile.

[1649] "Notification" refers to the means of sending collected and analyzed information to the user's device via push notification or email.

[1650] The present invention is an information provision system based on a user's hobbies and preferences, which uses generative AI to collect and analyze information from external data sources and provide optimal information to the user. This system can be implemented as a smartphone application for online shopping sites. Specific embodiments for implementing the present invention are described below.

[1651] Creating a User Profile

[1652] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is sent from the device to a server, which then generates an individual user profile based on the user's hobbies and preferences. This data is stored in a database and used for subsequent recommendation processing.

[1653] Information collection and analysis

[1654] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). Specifically, it obtains the latest product information and reviews through APIs. The collected data is analyzed using a generative AI model (e.g., Hugging Face's BERT model) to extract information that matches the user profile.

[1655] Product recommendation

[1656] Based on the analyzed information, the server selects the products and services that best fit the user profile. The generative AI model also analyzes product reviews and prioritizes recommendations for products with positive ratings.

[1657] Notification means

[1658] The selected information is sent from the server to the user's device via push notification or email. The user receives the notification and can access detailed information. Using the GUI (Graphical User Interface) on the device, the user can check the details of the recommended products and purchase or view them.

[1659] Specific Examples

[1660] For example, if a user is interested in "sports goods," the system will analyze reviews focusing on products in categories such as "sports," "exercise," and "equipment," and select products with favorable reviews.

[1661] Hardware and software used

[1662] Hardware: Smartphone (iOS or Android)

[1663] Software: Python 3.8+, requests library (to retrieve data from the API), transformers library (to generate AI models)

[1664] In this way, users can efficiently obtain the most suitable product information based on their hobbies and preferences. This system aims to increase user satisfaction and improve the shopping experience on online shopping sites.

[1665] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1666] Step 1:

[1667] Entering and collecting user information

[1668] Users use their devices to input information about their hobbies and preferences, such as product categories they are interested in or favorite brands. This information is entered through the device's GUI and sent from the device to the server. The server analyzes the received information and creates a user profile.

[1669] Input: Information about the user's hobbies and preferences

[1670] Output: User profile

[1671] Step 2:

[1672] Collection of information

[1673] The server collects information from external data sources (e.g., social media, e-commerce sites, ticket information sites, event information sites). First, it uses the API of each data source to obtain product information, reviews, and ticket information. This involves sending queries to the database to obtain the required data.

[1674] Input: Request for information from an API of an external data source

[1675] Output: Collected product information, reviews, and ticket information

[1676] Step 3:

[1677] Analysis of information

[1678] The server analyzes the collected data using a generative AI model (e.g., Hugging Face's BERT model). First, it analyzes each product's review and description to determine whether it is a positive or negative review. Based on this analysis, it selects products and services that the user is likely to like, based on their user profile.

[1679] Input: Collected product information, reviews, ticket information

[1680] Output: Best products and services selected based on user profile

[1681] Step 4:

[1682] Product Recommendations and Notifications

[1683] Based on the analyzed information, the server selects the products and services that best fit the user profile, then sends the selected information to the user's device via push notification or email, and the device displays the received notification and allows the user to access more information.

[1684] Input: Products and services selected based on your user profile

[1685] Output: Push notification and email notification to the user

[1686] Step 5:

[1687] Viewing and interacting with detailed information

[1688] The user receives a notification on their device and taps it to access more information. The device then provides a GUI to display the details, allowing the user to view, purchase, or browse the recommended product or service.

[1689] Input: Product and service details selected based on your user profile

[1690] Output: Display of detailed information, user interactions (purchase, view, etc.)

[1691] 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.

[1692] This invention is an information provision system based on a user's hobbies and preferences. It uses generative AI to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. Furthermore, by combining it with an emotion engine, it is possible to provide information and edit content according to the user's emotional state. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1693] System Overview

[1694] 1. COLLECTION OF USER INFORMATION:

[1695] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, events they are interested in, and merchandise they want to purchase.

[1696] The terminal transmits the input information to the server.

[1697] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1698] 2. Information Collection and Analysis:

[1699] The server calls APIs to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites.

[1700] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[1701] 3. Use of Emotion Engine:

[1702] The device collects data using cameras and sensors to capture the user's emotional state.

[1703] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[1704] 4. Provision of Information:

[1705] The server selects the information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[1706] The timing and content of notifications are adjusted according to the user's emotional state, providing information that suits the user's mood.

[1707] The server pushes the selected information to the user's device.

[1708] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1709] Specific function implementation examples

[1710] Information gathering and analysis and use of emotion engines

[1711] If a user wants to know about the release of a new album by their favorite artist A, the system works as follows:

[1712] Type "Fan of Artist A" into your device.

[1713] The server collects the latest social media posts about "Artist A," e-commerce site inventory information, ticket sales information, and other information via the API.

[1714] The collected data is analyzed using generative AI to extract information such as "new album release."

[1715] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[1716] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[1717] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1718] Example of automatic travel and outing plan creation

[1719] When a user wants to join a live event, the system works as follows:

[1720] The user inputs their preference to "attend a live event."

[1721] The terminal sends the input contents to the server.

[1722] The server searches for transportation and accommodation options, taking into account the user's current location, the event location, and the date and time.

[1723] The optimal travel plan is automatically generated and suggested on the device.

[1724] Examples of media editing

[1725] If a user wants to create an album of their memories from a live event, the system works as follows:

[1726] Users upload the images and videos they have taken from their devices to the server.

[1727] The server then uses generative AI to edit the uploaded media, such as automatically generating photo albums or cutting out unnecessary parts of videos.

[1728] The device's camera and sensors are used to capture the user's emotional state and the editing is then reflected in the content. For example, if the user is emotionally charged, the editing will be more dramatic.

[1729] The edited media is organized into an album and provided to the device, where it is displayed for the user to view and save.

[1730] As described above, the present invention is a system that caters to the user's hobbies and preferences and optimally provides a wide range of functions, such as providing the latest information, proposing travel plans, and creating photo albums, according to the user's emotional state.

[1731] The processing flow will be explained below.

[1732] Step 1:

[1733] Users use the terminal to input information about their hobbies and preferences, such as their favorite artists, events they are interested in, and merchandise they would like to purchase.

[1734] Step 2:

[1735] The terminal transmits the input information to the server.

[1736] Step 3:

[1737] The server analyzes the information received, generates a user profile and stores it in a database to record individual user preferences for further processing.

[1738] Step 4:

[1739] The server calls the API to collect the necessary data from social media, e-commerce sites, ticket information sites, and event information sites. This API call is executed periodically.

[1740] Step 5:

[1741] The server aggregates the data collected from each API and analyzes it using generative AI, specifically by performing text analysis and filtering to extract relevant information based on the user profile.

[1742] Step 6:

[1743] The device collects data using cameras and sensors to capture the user's emotional state in real time, and estimates emotions by analyzing their location, movements, and facial expressions.

[1744] Step 7:

[1745] The device transmits the collected emotion data to the server.

[1746] Step 8:

[1747] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state, which is then used in combination with the user profile.

[1748] Step 9:

[1749] The server then selects the information to provide to the user based on the analysis results, taking into account the user's emotional state. For example, when the user is relaxed, it is desirable to provide lighter information.

[1750] Step 10:

[1751] The server pushes the selected information to the user's device.

[1752] Step 11:

[1753] The terminal displays the notified information in a GUI, allowing the user to access detailed information.

[1754] Step 12:

[1755] When a user wishes to travel or participate in an event, they input their requirements through the terminal, such as the destination, schedule, and budget.

[1756] Step 13:

[1757] The terminal transmits the input conditions to the server.

[1758] Step 14:

[1759] The server collects and analyzes data on transportation, accommodation, tourist attractions, etc. to generate travel and outing plans based on the user's requirements.

[1760] Step 15:

[1761] The server automatically generates the optimal travel plan and sends it to the terminal.

[1762] Step 16:

[1763] The terminal displays the proposed travel plan to the user, preferably in a visually easy-to-understand format such as a map or schedule.

[1764] Step 17:

[1765] When a user wants to edit the images or videos they have taken, they upload the media files to the server via their device.

[1766] Step 18:

[1767] The server receives the uploaded media files.

[1768] Step 19:

[1769] The server then uses AI to edit the received media files, which can include automatically generating photo albums and cutting out unnecessary parts of videos.

[1770] Step 20:

[1771] The server reflects the emotional data in the edited content. For example, if the user is excited, the server may edit the content in a more dynamic and colorful way.

[1772] Step 21:

[1773] The server organizes the edited media files into an album format and sends it to the user's device.

[1774] Step 22:

[1775] The device displays the album to the user, allowing them to view and save it.

[1776] Example 2

[1777] 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."

[1778] In today's world, systems that efficiently acquire and provide information tailored to users' diverse hobbies and preferences are extremely important. However, conventional systems provide information without considering the user's emotional state, making it difficult to maximize the user experience. Another issue is the lack of accuracy in properly analyzing collected information and selecting information that matches the user's hobbies and preferences. Furthermore, there is no consistent system that can achieve multiple functions, such as automatically creating travel plans or providing image and video data in an album format.

[1779] 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.

[1780] In this invention, the server includes means for receiving information on hobbies and preferences from a user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring the user's emotional state using a camera or sensor of the terminal, means for analyzing the collected data using an emotion engine and estimating the user's emotional state, means for adjusting the timing and content of notifying the selected information based on the user's emotional state, and means for notifying the user of the selected information. This makes it possible to provide optimal information that matches the user's hobbies and preferences in accordance with the user's emotional state.

[1781] A "user profile" is data summarizing the characteristics of a user, which is generated based on information about the user's hobbies and preferences.

[1782] "External data sources" refers to data providers on the Internet, such as social media, e-commerce sites, ticket information sites, and event information sites.

[1783] An "emotion engine" refers to software or algorithms that analyze a user's emotional state and estimate emotions such as positive or negative.

[1784] "Cameras and sensors" refers to photo and video capture devices and various sensors installed on the device to capture the user's emotional state.

[1785] A "generative AI model" refers to an artificial intelligence model that learns from large amounts of data and makes highly accurate predictions and generation for various tasks.

[1786] "Push notification" refers to a notification format for sending information from a server to a device in real time.

[1787] "Automatic travel plan creation" refers to the function of searching for and suggesting the best means of transportation and accommodation based on the destination and conditions specified by the user.

[1788] "Editing image and video data" refers to the process of processing and editing photos and videos uploaded by users and organizing them into a specific format, such as an album.

[1789] "API" stands for Application Program Interface, and refers to an interface for exchanging data and functions between different software systems.

[1790] This invention is an information provision system based on a user's hobbies and preferences, and uses a generative AI model and emotion engine to collect and analyze information from social media, e-commerce sites, ticket information, and event information to provide users with optimal information. It also includes a function to automatically create travel and outing plans, and a function to edit image and video data and provide them as albums.

[1791] System Overview

[1792] Collection of User Information

[1793] Users use the device's GUI interface to input information about their hobbies and preferences. For example, they input specific information such as "favorite artists" or "interesting events." The device then sends this information to a server. The server analyzes the received information, creates a user profile, and stores it in a database. This analysis is performed using a Python natural language processing library (e.g., spaCy).

[1794] Examples:

[1795] A user types "Fan of Artist A" into their device. The device sends this information to a server, which analyzes it and adds attributes to the user profile, such as "Favorite Artist: Artist A."

[1796] Information collection and analysis

[1797] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. HTTP requests are used to collect data, and the collected data is integrated using the Pandas library. The server then analyzes the integrated data using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[1798] Examples:

[1799] The server uses the Twitter API to retrieve the latest tweets about "Artist A," aggregates them, and extracts the information that "Artist A's new album is out."

[1800] Use of emotion engine

[1801] The device uses built-in cameras and sensors to collect data that detects the user's emotional state. The collected data is sent to a server, which then uses emotion analysis libraries (e.g., OpenCV and DeepFace) to estimate the user's emotional state. This information is used to adjust the timing and content of notifications.

[1802] Examples:

[1803] The device uses a camera to detect the user's smile and sends the data to the server, which analyzes the data and estimates it as a "positive emotion."

[1804] Providing information

[1805] Based on the analysis results, the server selects the most appropriate information to provide to the user. For example, it selects "information about the release of a new album by artist A" based on the user's hobbies and preferences, and provides it to a user in a positive emotional state. The selected information is sent to the user's device using a push notification. The device displays this notification in a GUI, allowing the user to access detailed information.

[1806] Examples:

[1807] The server selects "Artist A's new album release information" and sends a push notification using Firebase Cloud Messaging (FCM). The device displays this notification, allowing the user to easily access detailed information.

[1808] Example prompt:

[1809] "Please let me know the latest information about Artist A's new album."

[1810] Specific use cases

[1811] 1. If you want to know about your favorite artist's new album

[1812] The user types "Fan of Artist A" into the terminal.

[1813] The server analyzes the collected data using generative AI and extracts information such as "new album release."

[1814] The user's emotional state, captured by the device's camera and sensors, is sent to a server, and the most appropriate information is pushed to the user based on the analysis results.

[1815] 2. Automatic travel planning

[1816] The user inputs their preference to "attend a live event."

[1817] The server searches for and suggests the best means of transportation and accommodation.

[1818] 3. Create a memory album of your live event

[1819] The user uploads the images and videos they have taken to the server.

[1820] The server uses generated AI to edit the content and provides it in album format.

[1821] As described above, the present invention caters to the user's hobbies and preferences, and optimally provides a wide range of functions, such as providing the latest information, suggesting travel plans, and creating photo albums, in accordance with the user's emotional state, thereby maximizing the user experience.

[1822] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1823] System program processing flow

[1824] Step 1: Enter your user information

[1825] Specific behavior:

[1826] Users input information about their hobbies and preferences, such as their favorite artists or events of interest, through the GUI interface of their device.

[1827] input:

[1828] Information about your interests and preferences

[1829] Data processing:

[1830] The device converts the user's input into JSON format and formats it for sending to the server.

[1831] output:

[1832] Formatted JSON data of user information

[1833] Step 2: Submit user information

[1834] Specific behavior:

[1835] The terminal transmits the formatted user information to the server, using the HTTPS protocol for this transmission process.

[1836] input:

[1837] Formatted JSON data of user information

[1838] Data processing:

[1839] The device sends user information to the server

[1840] output:

[1841] User information sent to the server

[1842] Step 3: Parse and store user information

[1843] Specific behavior:

[1844] The server analyzes the received user information and generates a user profile using a Python natural language processing library (e.g., spaCy). The generated user profile is stored in a database.

[1845] input:

[1846] User information sent to the server

[1847] Data processing:

[1848] The server parses the user information using a natural language processing library.

[1849] Generate user profiles based on analysis results

[1850] output:

[1851] Generated User Profile

[1852] Step 4: Gather external data

[1853] Specific behavior:

[1854] The server calls various APIs to collect the latest information from social media, e-commerce sites, ticket information sites, and event information sites. API calls are made using HTTP requests.

[1855] input:

[1856] User Profile

[1857] Data processing:

[1858] The server calls the API to gather the necessary data from external sources.

[1859] output:

[1860] Data collected

[1861] Step 5: Data synthesis and analysis

[1862] Specific behavior:

[1863] The server aggregates the data collected from each API using the Pandas library, and the aggregated data is analyzed using a generative AI model (e.g., GPT-3) to extract relevant information based on the user profile.

[1864] input:

[1865] Data collected

[1866] Data processing:

[1867] Integrate data and analyze it with generative AI models

[1868] Extract relevant information based on user profile

[1869] output:

[1870] Extracted related information

[1871] Step 6: Obtaining emotional states

[1872] Specific behavior:

[1873] The device uses built-in cameras and sensors to collect data that detects the user's emotional state, which is then sent to a server.

[1874] input:

[1875] Real-time user data (video, audio, etc.)

[1876] Data processing:

[1877] The device detects the user's emotional state using cameras and sensors.

[1878] output:

[1879] User emotional state data

[1880] Step 7: Analyze emotional state

[1881] Specific behavior:

[1882] The server analyzes the collected emotional state data using an emotion analysis library (e.g., OpenCV and DeepFace) to estimate the user's emotional state.

[1883] input:

[1884] User emotional state data

[1885] Data processing:

[1886] Analyze emotional states using the Sentiment Analysis Library

[1887] output:

[1888] Estimated user emotional state

[1889] Step 8: Selecting information

[1890] Specific behavior:

[1891] Based on the analysis results, the server selects the most appropriate information to provide to the user, taking into account the user's emotional state.

[1892] input:

[1893] Extracted related information

[1894] Estimated user emotional state

[1895] Data processing:

[1896] Integrate relevant information and emotional state to select the most appropriate information

[1897] output:

[1898] Selected Information

[1899] Step 9: Notification of Information

[1900] Specific behavior:

[1901] The server sends the selected information to the user's device via push notification using Firebase Cloud Messaging (FCM).

[1902] input:

[1903] Selected Information

[1904] Data processing:

[1905] Create and send push notifications using FCM

[1906] output:

[1907] Push notifications sent to the device

[1908] Step 10: Viewing Information

[1909] Specific behavior:

[1910] The terminal displays the notified information on a GUI, allowing the user to access detailed information.

[1911] input:

[1912] Push notifications sent to the device

[1913] Data processing:

[1914] Display notifications in the GUI interface

[1915] output:

[1916] Details that users can access

[1917] The above are the specific processing steps of the program of this system, which makes it possible to provide optimal information based on the user's hobbies and preferences, taking into account their emotional state.

[1918] (Application example 2)

[1919] 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."

[1920] While modern content delivery services generally provide personalized information based on users' hobbies and preferences, they rarely provide information that takes into account the user's momentary emotional state. This makes it difficult to provide optimal content that reflects the user's emotions. Furthermore, the lack of personalized notification and recommendation systems that reflect emotional state as data hinders the potential for significantly improving the user experience.

[1921] The specification process by the specification 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 receiving information on hobbies and preferences from the user and generating a user profile, means for collecting information from external data sources, means for analyzing the collected information and selecting optimal information based on the user profile, means for acquiring and analyzing the user's emotional state, and means for notifying the user of information at optimal timing and with optimal content based on the emotional state. This makes it possible to provide optimal content that is tailored to the user's emotional state as well as their hobbies and preferences through personalized notifications.

[1922] "User information" refers to individual characteristics or data about a user, including their hobbies, preferences, emotional state, and so on.

[1923] A "user profile" is a data set that systematically summarizes a user's characteristics and is generated based on the user's information.

[1924] An "external data source" is an external information provider that provides information related to the user, such as a social networking site, an e-commerce site, a ticket information site, or an event information site.

[1925] "Emotional state" refers to the momentary emotional state the user is feeling, and is estimated based on data collected from cameras and sensors.

[1926] "Analysis" refers to processing collected information using analytical tools and generative AI models to extract meaningful data and patterns.

[1927] "Content" is any digital information that may be of interest to users, such as music, video, event information, images, or text.

[1928] "Notification" means the act of informing a user of selected information or content, and includes, for example, push notifications and in-app messages.

[1929] "Generative AI" refers to a technology or model that generates new information based on large amounts of data, and is used to provide content based on a user's preferences and emotional state.

[1930] An "API" is an interface for accessing information and functions between different software systems, and is used to collect and provide data.

[1931] The "emotion engine" is a software component for analyzing the user's emotional state, recognizing emotions by analyzing data from cameras and sensors.

[1932] The present invention is an information provision system based on a user's hobbies and preferences, and by combining a generation AI and an emotion engine, it provides optimal content according to the user's emotional state. The following describes the configuration of the system for implementing the invention and detailed operating procedures.

[1933] System configuration

[1934] 1. Hardware:

[1935] Devices: Smartphones, tablets, smart glasses, head-mounted displays

[1936] Sensors: Camera and biometric sensors to capture emotional state

[1937] 2. Software:

[1938] Generative AI model: A technology that generates new information based on large amounts of data. An example of this is the GPT (Generative Pre-trained Transformer) model.

[1939] Emotion engine: A software component for analyzing the user's emotional state. Examples include the Microsoft Emotion API and Google Cloud Vision API.

[1940] APIs: Used to collect data from social media, music streaming services, and video sharing platforms. Examples include the Spotify API and YouTube Data API.

[1941] Process Overview

[1942] 1. User Information Collection:

[1943] Users use the terminal to input information about their hobbies and preferences, including their favorite artists, genres of interest, and the types of content they want to watch.

[1944] The terminal transmits the input information to the server.

[1945] 2. Create a user profile:

[1946] The server analyzes the information it receives, generates a user profile, and stores it in a database.

[1947] 3. Information Collection and Analysis:

[1948] The server calls APIs to collect information from external data sources (social networks, music streaming services, video sharing platforms, etc.).

[1949] The collected data is analyzed using a generative AI model to select the most appropriate information based on the user profile.

[1950] 4. Use of Emotion Engine:

[1951] The device collects data using cameras and sensors to capture the user's emotional state.

[1952] The server uses an emotion engine to analyze the collected data and estimate the user's emotional state.

[1953] 5. Provision of Information:

[1954] The server selects the most appropriate information to provide to the user based on the analysis results, taking into account the user's emotional state obtained by the emotion engine.

[1955] The selected information is notified at the optimal timing and with the optimal content based on the user's emotional state.

[1956] Finally, the server sends this information to the user's device via a push notification, and the user can access the details through the device's GUI.

[1957] Specific examples

[1958] For example, if a user wants to know about a new album by their favorite artist A on a music streaming service, the system operates as follows:

[1959] The user types "fan of artist A" into the device.

[1960] The server collects the latest social media posts about Artist A, information about new albums on music streaming services, and more via the API.

[1961] The collected data is analyzed using a generative AI model to extract information such as "new album release."

[1962] The device's camera and sensors are used to capture the user's current emotional state and send it to the server.

[1963] The server uses an emotion engine to analyze the user's emotions and adjust the timing and content of notifications.

[1964] The server sends this information to the user's device via push notification, allowing the user to easily access the details.

[1965] Prompt Sentence Examples

[1966] "The user's favorite artist is 'Artist A'. The user's current emotion is 'Happy'. Please recommend the best music and video list based on the user's current emotional state."

[1967] The present invention provides a more personalized user experience by providing optimal content based on the user's emotional state as well as their tastes and preferences.

[1968] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1969] Step 1: Collect user information

[1970] Users use devices (smartphones, tablets, smart glasses, head-mounted displays) to input information about their hobbies and preferences. This information includes favorite artists, genres of interest, and types of content they want to watch. The device then sends the input information to a server.

[1971] Input: Information about your hobbies and preferences that you enter

[1972] Data processing: Organizing the input information into structured data

[1973] Output: Send structured user information to the server

[1974] Step 2: Generate a user profile

[1975] The server analyzes the information received from the user and generates a user profile, which is then stored in a database.

[1976] Input: Structured user information sent from the device

[1977] Data calculation: Analyze user information and extract user preferences and patterns

[1978] Output: Generate a user profile and save it to the database.

[1979] Step 3: Gather information

[1980] The server calls APIs to collect the necessary information from external data sources (e.g., social media, music streaming services, video sharing platforms), collecting relevant information based on the user profile.

[1981] Input: User Profile

[1982] Data processing: Use APIs to gather information from external sources

[1983] Output: Relevant information collected

[1984] Step 4: Analyze the information

[1985] The server analyzes the collected information using a generative AI model, which is then used to select the most appropriate information based on the user profile.

[1986] Input: Collected relevant information

[1987] Data computation: Analyzes information using generative AI models to extract the most relevant information based on user profiles

[1988] Output: Optimized information list

[1989] Step 5: Obtaining emotional states

[1990] The device's camera and sensors are used to capture the user's emotional state, and facial and biometric sensor data is sent to the server.

[1991] Input: User facial and biometric sensor data

[1992] Data processing: Using an emotion engine to convert emotional states into a parseable format

[1993] Output: Send emotional state data to the server

[1994] Step 6: Analyze emotional state

[1995] The server uses an emotion engine to analyze the user's emotional state, and the analysis results are reflected in the notification information.

[1996] Input: Emotional state data

[1997] Data Computation: Estimating Emotional States Using an Emotion Engine

[1998] Output: Parsed user's emotional state

[1999] Step 7: Provide information

[2000] The server then selects the optimal information to be provided to the user based on the analysis results, adjusting the timing and content according to the user's emotional state. The server then sends the information to the user's device via push notification, allowing the user to access detailed information.

[2001] Input: Optimized information list, analyzed user emotional state

[2002] Data processing: Adjust notification timing and content to provide information in the most optimal format for users

[2003] Output: Providing information via push notification to the device

[2004] 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.

[2005] 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.

[2006] 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 robot 414.

[2007] 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.

[2008] FIG. 9 is a diagram illustrating 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 actions 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.

[2009] 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.

[2010] 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).

[2011] 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.

[2012] 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."

[2013] 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.

[2014] 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).

[2015] 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.

[2016] 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.

[2017] 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.

[2018] 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.

[2019] 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.

[2020] 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.

[2021] 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.

[2022] 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.

[2023] 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.

[2024] 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.

[2025] The following is further disclosed regarding the above embodiment.

[2026] (Claim 1)

[2027] means for receiving interest and preference information from a user and generating a user profile;

[2028] a means of collecting information from external data sources;

[2029] A means of analyzing the collected information and selecting the most appropriate information based on the user profile;

[2030] means for notifying the user of the selected information;

[2031] A system including:

[2032] (Claim 2)

[2033] 10. The system of claim 1, further comprising means for automatically creating and providing an outing or travel plan to the user.

[2034] (Claim 3)

[2035] 10. The system of claim 1, further comprising means for editing image and video data uploaded by a user and providing the image and video data in an album format.

[2036] "Example 1"

[2037] (Claim 1)

[2038] means for receiving interest and preference information from a user and generating a user profile;

[2039] a means of collecting information from external data sources;

[2040] A means of analyzing the collected information using a generative AI model and selecting the most appropriate information based on the user profile;

[2041] means for notifying the user of the selected information;

[2042] means for automatically creating an outing or travel plan based on a request from a user;

[2043] A means to analyze and edit media data uploaded by users and provide it in album format;

[2044] A system including:

[2045] (Claim 2)

[2046] 10. The system of claim 1, further comprising means for searching for optimal transportation and accommodation options taking into account a user's current location, destination, and date and time.

[2047] (Claim 3)

[2048] 10. The system of claim 1, further comprising means for updating the information collected from external data sources in real time.

[2049] "Application Example 1"

[2050] (Claim 1)

[2051] means for receiving interest and preference information from a user and generating a user profile;

[2052] a means of collecting information from external data sources;

[2053] A means of analyzing the collected information and selecting the most appropriate information based on the user profile;

[2054] means for notifying the user of the selected information;

[2055] A means of analyzing product reviews using a generative AI model and recommending products that match the user profile; and

[2056] A system including:

[2057] (Claim 2)

[2058] 10. The system of claim 1, further comprising means for automatically creating and providing an outing or travel plan to the user.

[2059] (Claim 3)

[2060] 10. The system of claim 1, further comprising means for editing image and video data uploaded by a user and providing the image and video data in an album format.

[2061] "Example 2: Combining Emotion Engines"

[2062] (Claim 1)

[2063] means for receiving interest and preference information from a user and generating a user profile;

[2064] a means of collecting information from external data sources;

[2065] A means of analyzing the collected information and selecting the most appropriate information based on the user profile;

[2066] A means for acquiring the user's emotional state using a camera or sensor of the device;

[2067] means for analyzing the collected data using an emotion engine to estimate the user's emotional state;

[2068] a means for adjusting the timing and content of notification of the selected information based on the emotional state of the user;

[2069] means for notifying the user of the selected information;

[2070] A system including:

[2071] (Claim 2)

[2072] 10. The system of claim 1, further comprising means for automatically creating and providing an outing or travel plan to the user.

[2073] (Claim 3)

[2074] 10. The system of claim 1, further comprising means for editing image and video data uploaded by a user and providing the image and video data in an album format.

[2075] "Application example 2 when combining emotion engines"

[2076] (Claim 1)

[2077] means for receiving interest and preference information from a user and generating a user profile;

[2078] a means of collecting information from external data sources;

[2079] A means of analyzing the collected information and selecting the most appropriate information based on the user profile;

[2080] means for notifying the user of the selected information;

[2081] means for acquiring and analyzing the emotional state of a user;

[2082] A means for notifying information with optimal timing and content based on emotional state;

[2083] A system including:

[2084] (Claim 2)

[2085] 10. The system of claim 1, further comprising means for automatically creating and providing an outing or travel plan to the user.

[2086] (Claim 3)

[2087] 10. The system of claim 1, further comprising means for editing image and video data uploaded by a user and providing the image and video data in an album format. [Explanation of symbols]

[2088] 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. means for receiving interest and preference information from a user and generating a user profile; a means of collecting information from external data sources; A means of analyzing the collected information and selecting the most appropriate information based on the user profile; means for notifying the user of the selected information; A system including:

2. The system of claim 1 , further comprising means for automatically creating and providing an outing or travel plan to the user.

3. The system according to claim 1 , further comprising means for editing image and video data uploaded by a user and providing the image and video data in an album format.

Images