system

Abstract

We provide the system. [Solution] A means for users to register information about specific people or products, The information processing device periodically checks external information sources and collects relevant information based on registered information, A method for analyzing collected information, scoring its importance, and selecting highly relevant information, A means of notifying users of the selected information, A means of monitoring sales information for limited-edition products and automatically making purchases based on purchase settings registered by users in advance, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] With the development of information technology, it has become easier to collect information related to personal hobbies and interests. However, since information related to specific people and products is diverse, it is difficult to collect it efficiently. In addition, it is necessary to always pay attention to the sales schedules of limited products and events and make purchases without missing the timing, which places a heavy burden. Furthermore, in order to select only the necessary information from the vast amount of collected information, advanced analysis is required, and in many cases, individuals cannot handle it alone. There is a need to provide an effective means for solving these problems.

Means for Solving the Problems

[0005] This invention provides a means for users to register information about specific people or products in a system. The information processing device periodically checks external information sources and automatically collects relevant information based on the registered information. The collected information is analyzed using natural language processing technology, and its importance is scored to select the most relevant information. The selection results are also notified to the user in real time. Furthermore, the information processing device monitors limited sales information for specific people or products and automatically makes purchases based on the purchase settings registered by the user in advance, helping to prevent users from missing out on purchase opportunities. In this way, the process of information collection, selection, and purchase can be made more efficient.

[0006] A "user" is an entity that registers information about a specific person or product in the system and receives related information.

[0007] An "information processing device" is a part of a system that has the function of checking external information sources and collecting and analyzing related information.

[0008] "External information sources" refer to sources of information available on the internet, such as social media, news sites, and online stores.

[0009] "Related information" refers to data and news related to specific individuals or products registered by the user.

[0010] "Natural language processing technology" is a computer technology that analyzes collected text data to understand its content and importance.

[0011] A "limited edition product" refers to a rare item that is sold only under specific conditions.

[0012] "Automated purchasing" is a process in which an information processing device automatically performs the purchase procedure based on conditions set in advance by the user. [Brief explanation of the drawing]

[0013] [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a system that allows users to efficiently collect information about specific people or products and to automatically perform purchase procedures for limited-edition products and event information. The program's processing is described below in natural language.

[0035] First, users register information about their favorite person or idol in the system using their device. This registration includes the name of the specific person, related keywords, product categories of interest, and event types. This information is sent from the user's device to the server. Based on this information, the server prepares to retrieve data from various external sources.

[0036] Next, the server periodically crawls social media and news sites to collect data related to the registered information. This collection process is automated using API calls and web crawling techniques. The collected data is analyzed within the server. Natural language processing techniques are used in this analysis to scrutinize the data's content. Specifically, important keywords are extracted from the collected information, and the importance of the information is determined based on these keywords. Information selected based on importance is then notified to the user as highly relevant.

[0037] For example, if the server finds the latest news article about a specific person and determines that the article is highly topical, a push notification will be immediately sent to the user's device. This notification allows the user to receive information in a timely manner.

[0038] Furthermore, for limited-edition items, the server monitors the relevant website, and when the product goes on sale, it automatically initiates the purchase process based on pre-registered purchase settings. Pre-registration includes payment information and shipping address information, which the server uses to expedite the purchase. After purchase, users can receive a purchase completion notification through their device.

[0039] Thus, the present invention integrates the processes of information gathering and product purchase, enabling users to achieve their goals with minimal effort. This system allows users to ensure they don't miss out on important information and can reliably obtain essential products in their fan activities.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches a dedicated application on their device, enters the name of their favorite idol or related keywords, and sends them to the server. The server receives this information and prepares to generate a search query.

[0043] Step 2:

[0044] The server sets up regular tasks and begins collecting data from external sources. Specifically, it uses SNS APIs and RSS feeds from news sites to collect information based on registered keywords. This information is stored in storage.

[0045] Step 3:

[0046] An AI agent on the server analyzes the collected data. It uses natural language processing techniques to scan the information and extract important items and news topics. Then, it scores and identifies the importance of each piece of information.

[0047] Step 4:

[0048] The server assigns scores to the filtered information based on the user's interests and selects the most relevant information. This selection is then tagged as information the user needs.

[0049] Step 5:

[0050] The server sends filtered information to the user's device via push notification, allowing the user to check the information in a timely manner on their device. The notifications include the latest news, important events, and product information.

[0051] Step 6:

[0052] The server monitors the release information of limited-edition products and executes automated purchase commands based on pre-configured conditions. Using the configured purchase information, the system proceeds with the purchase process as soon as sales begin.

[0053] Step 7:

[0054] Once the purchase is complete, the server notifies the user's device with the details and allows them to confirm the purchase's success status. The user can then check their purchase history and shipping status on their device.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] There is a need for a system that can efficiently collect information about specific people or products that users are interested in, and that can also quickly purchase limited-edition products. However, current methods may result in missed information or lost purchase opportunities, so these need to be reduced.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for users to register information related to their areas of interest using an information input device, means for a data management device to periodically patrol external information sources and automatically collect relevant data according to the registered information, and means for an analysis device to score the collected data based on key indicators and select highly relevant information. This enables users to collect information without missing anything and to quickly purchase limited-edition products.

[0060] An "information input device" is a device used to register specific information that a user is interested in.

[0061] A "data management device" is a device that periodically visits external information sources and automatically collects the necessary data.

[0062] An "analysis device" is a device that scores collected data based on key indicators and selects information accordingly.

[0063] An "external information source" refers to an information provider on the Internet from which a data management device collects information.

[0064] "Automatically collecting data" refers to the process by which a system independently collects data without specific instructions.

[0065] "Scoring" is the process of quantifying the importance of collected data.

[0066] "Highly relevant information" refers to information that is deemed to have a high degree of relevance to the information registered by the user.

[0067] "Instant notification" is a system function that allows users to receive relevant information quickly.

[0068] "Purchase processing" is the automated process for acquiring limited-edition products.

[0069] "Specific sales commencement" refers to the public commencement of the provision of a product or service.

[0070] "Natural language recognition technology" refers to the technology used by computers to understand and analyze human language.

[0071] To implement this invention, the user first registers information about their favorite person using a terminal. Specifically, they input the name of a particular person, related keywords, product categories of interest, and types of events, and then send this information to a server. The terminal used is a typical personal electronic device such as a smartphone or tablet computer. Application software for information input is also installed on the terminal. This software provides the user with an input screen and creates an interface for sending information to the server.

[0072] Next, the server starts the data collection process using the received information. This server includes a central processing unit and functions as a data management device. The server uses BeautifulSoup, a Python scraping library, and Selenium, a web browser automation tool, to collect necessary information from social media and news sites. The collected data is analyzed by natural language processing technology executed within the server. Generative AI models are used to automatically extract important keywords from the data and classify them as highly relevant information.

[0073] When the server identifies highly relevant information, it immediately notifies the user via a notification service such as Firebase Cloud Messaging. This notification feature allows users to quickly obtain the information and take the necessary actions.

[0074] Furthermore, the server monitors sales information for limited-edition products, and when a product goes on sale, it automatically processes the purchase based on pre-registered purchase information. Specifically, it uses the API of the e-commerce site to quickly complete the purchase procedure. Once the purchase is complete, a purchase completion notification is sent to the user's device.

[0075] As a concrete example of how this system can be used, users can set prompts such as "Collect and notify me of the latest news about celebrities" or "Automatically purchase specific limited-edition products when they go on sale," and receive the services they need. In this way, users can efficiently and automatically manage their information gathering and consumption behavior, making their fan activities more effective.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] Users register information of interest in the system using a terminal. They provide information such as specific person names, related keywords, product categories, and event types as input. This information is sent to the server via dedicated application software. The server organizes the received data and stores it in a database.

[0079] Step 2:

[0080] The server periodically collects data from external sources based on a schedule. This process involves calling APIs from social media and news sites to retrieve relevant content. It uses a user-registered keyword list as input to filter the data. The filtered text data is then retrieved as output and stored as a dataset for analysis.

[0081] Step 3:

[0082] The server processes the data collected by the analysis device. It uses a generative AI model and applies natural language processing techniques to analyze the text data. Using the raw data acquired as input, it performs data processing to extract important keywords and phrases. As output, information with importance scores is generated and listed as highly relevant information.

[0083] Step 4:

[0084] The server analyzes the data and selects high-priority information for notification. This selected information is sent to the user's device via a notification service such as Firebase Cloud Messaging. The input is scored and selected information, and the output is an immediate notification to the user. This allows users to receive timely news and event information that interests them.

[0085] Step 5:

[0086] The server continuously monitors sales information for limited-edition products. When a product goes on sale, it initiates an automated purchasing process based on the user's pre-configured purchase information. It uses the e-commerce site's API to transmit the necessary product ID and payment information. Inputs are the sales start signal and pre-registered purchase data, and output is a successful purchase completion notification. This process ensures that users can reliably obtain the product.

[0087] (Application Example 1)

[0088] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] In this age of information overload, it is difficult for users to gather information on specific areas of interest or limited-edition products in a timely manner and to efficiently complete the purchase process. In particular, there is a need to accurately judge the importance of information and to make quick and accurate payments. This invention aims to improve user convenience by streamlining such information gathering and purchase procedures.

[0090] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0091] In this invention, the server includes means for users to register data about specific attributes and products, means for an information processing device to periodically check external data sources and collect relevant data based on the registered data, and means for completing purchases using pre-registered payment information in cooperation with a payment service. This enables users to purchase limited-edition products without missing specific information.

[0092] A "user" is an individual or group that seeks information about specific attributes or products.

[0093] "Data" refers to pre-registered information about topics and products that users are interested in.

[0094] An "information processing device" is a device that checks external data sources and collects and analyzes relevant information based on registered data.

[0095] "External data sources" refer to external sources of information from which information is obtained, such as social media, news sites, and e-commerce sites.

[0096] "Scoring importance" is the process of quantifying and judging the importance of information based on collected data.

[0097] A "payment service" is an online payment platform used to make payments when purchasing goods.

[0098] "Purchase Complete" means that the user has completed all procedures for purchasing a limited-edition product based on the purchase settings they registered in advance.

[0099] To implement this invention, it is necessary to build a system in which a user's device and a server work together. The user uses a device such as a smartphone to input data about specific attributes or products into an application. The device is responsible for transmitting that data to the server.

[0100] The server functions as an information processing device based on the data it receives. The server periodically checks social media and news sites as external data sources to collect relevant information. This process utilizes external APIs such as the Google® API and the Twitter API, employing web crawling techniques to gather information.

[0101] The collected data is analyzed using natural language processing engines such as Google NLP. The analysis results in a score indicating the importance of the information, and highly relevant information is selected.

[0102] When purchasing limited-edition items, the server integrates with a payment service to automatically complete the purchase using the user's pre-registered payment information. Users can receive a purchase completion notification through their own device.

[0103] As a concrete example, if a user registers information about a specific product in the app, the server will monitor the sales information of that product in real time and automatically execute a purchase as soon as it goes on sale. An example of a prompt message to the generating AI model in this process would be: "Based on the user's registered interests, please collect relevant news from social media. Also, check the sales information for the specified product category and automatically proceed with the purchase."

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] Users input data about specific attributes or products into the application using their own devices. This input data includes names of people of interest, product categories, and event types. This data is then sent to the server via the device.

[0107] Step 2:

[0108] The server analyzes the received data and prepares to collect information from external data sources. Specifically, it sets up API calls to link with social media and news sites based on keywords entered by the user. This setting allows the process of collecting relevant information to begin.

[0109] Step 3:

[0110] The server periodically visits external data sources and analyzes the collected information using natural language processing techniques. For example, it uses Google NLP to score the importance of articles and posts containing keywords of interest. This identifies information that is likely to be of interest to the user.

[0111] Step 4:

[0112] The server selects the most important information based on the analysis results. This selected information is then sent to the user's device as a push notification based on its relevance. This allows the user to quickly receive the latest information.

[0113] Step 5:

[0114] During the purchase process for limited-edition products, the server monitors the relevant website. Upon detecting the start of product sales, it automatically completes the purchase using the payment service based on the user's pre-registered purchase settings. After the purchase is complete, the user is notified via their device.

[0115] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0116] This invention is a system that efficiently collects information about specific people or products and provides information based on the user's emotions. By combining this system with an emotion engine, it enables the selection and notification of information that takes the user's emotions into consideration.

[0117] The system begins with the user entering their favorite idol's name and related keywords on their device, which are then registered with the server. This allows the server to automatically collect relevant information from external sources based on the registered data. The collected information is analyzed using natural language processing technology and scored for importance. Furthermore, an emotion engine recognizes the user's emotional state. For example, the user's input pace, choice of options, and facial recognition camera are used to evaluate their emotional state.

[0118] The server utilizes an emotion engine to analyze the user's emotional information and re-evaluate the importance of the information accordingly. The emotion engine outputs an emotional score indicating the level of interest, and adjusts the information priority based on this score. Simultaneously, it selects an emotion-based notification method, presenting information in a way that best suits the user's emotions.

[0119] For example, if a user is interested in news related to their favorite celebrity, the server will push news notifications more quickly than usual based on their sentiment score. On the other hand, if the sentiment engine determines that the user is feeling down, it can prioritize displaying uplifting information and positive news.

[0120] Furthermore, the automatic purchase function for limited-edition items also works in conjunction with emotional information. If a user is evaluated as being particularly excited about a particular product, the emotional engine will prioritize adding that product to the automatic purchase list.

[0121] In this way, by evaluating user emotions in real time and selecting and notifying appropriate information based on those emotions, it is possible to improve the user experience and support efficient information gathering. This invention makes it possible to make user participation in the information provision and purchasing process more comfortable.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] Users register information about specific people or products through an interface on their device. This registration process includes keywords, products of high interest, and event information, which are then sent from the device to the server.

[0125] Step 2:

[0126] The server initiates a task to periodically crawl external information sources. It issues API requests to information sources such as social media and news sites, and automatically collects information that matches registered keywords.

[0127] Step 3:

[0128] The server analyzes the collected information using natural language processing technology. The analysis classifies the information's content, and each piece of information is assigned an importance score.

[0129] Step 4:

[0130] When a user operates a device, the on-device emotion engine uses sensors to detect the user's input speed and facial expression data, and evaluates the user's emotional state in real time. This evaluation result is sent to the server as an emotion score.

[0131] Step 5:

[0132] The server adjusts the importance score of the collected information based on the sentiment score. The priority of the selected information is updated to reflect the user's level of excitement, ensuring that the most relevant information is chosen.

[0133] Step 6:

[0134] Selected information is pushed from the server to the user's device. The notification is optimized according to the user's emotional state and displayed at the appropriate time and in the appropriate way (e.g., pop-up, audio notification).

[0135] Step 7:

[0136] The device uses emotion engine data to detect a high level of interest in purchasing a limited-edition item, and if this is detected, it automatically sends a purchase request to the server. The server then uses the registered purchase information to execute the purchase process as soon as sales begin.

[0137] Step 8:

[0138] Once the purchase is complete, the server sends a purchase confirmation notification to the user's device and displays detailed information. The user can then check their purchase history and delivery status on their device.

[0139] (Example 2)

[0140] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0141] In today's world, where information is becoming increasingly diverse and vast, it is difficult to efficiently collect only the information users want and to select and provide that information according to their individual emotional state. Furthermore, it is not easy to actively purchase limited-edition products without missing sales opportunities, and there is a problem in that information is not being provided in a way that suits the user's emotions.

[0142] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0143] In this invention, the server includes means for a user to register information about specific items, means for an information processing device to verify external information sources and collect data based on the registered information, and means for an emotion analysis device to evaluate the user's emotional state and adjust the priority of information. This enables efficient information collection and provision in accordance with the user's emotions, as well as emotion-based automated purchasing.

[0144] A "user" is defined as an entity that uses the system's functions to input and register information related to specific items.

[0145] An "information processing device" is a device that collects data from external sources, analyzes it, and quantifies its importance.

[0146] "Natural language processing technology" is a technique used to analyze collected text data and understand its meaning and importance.

[0147] An "emotion analysis device" is a device that evaluates the user's emotional state based on their input and actions, and adjusts the priority of information accordingly.

[0148] An "emotion score" is an index that quantifies a user's emotional state and serves as a criterion for adjusting the priority of information provision.

[0149] "Automated purchasing" is a process that automatically executes the purchase of products selected based on the user's emotional state.

[0150] "External information sources" refer to a variety of data sources available on the internet, including news articles and social media posts.

[0151] This invention is a system that collects specific information and provides information and performs automated purchasing based on the user's emotional state. Specific embodiments are shown below.

[0152] Users first use a terminal to enter the names of items they are interested in and related keywords. This information is then registered on the server as recommendations and potential purchase items.

[0153] The server crawls external information sources on the internet based on registered keywords. Web crawling techniques are used to efficiently collect data. Specifically, common software frameworks (e.g., Scrapy) and APIs (e.g., SNS APIs) are employed.

[0154] The collected data is analyzed on the server using natural language processing techniques. Tools such as the Google Cloud Natural Language API and spaCy are crucial in this step, as they score the importance of the information.

[0155] Next, the device evaluates the user's emotional state. This evaluation uses emotion analysis software, which infers the emotional state from the speed and patterns of input. Other hardware, such as facial recognition cameras, may also be used. Based on this information, the server calculates an emotion score and adjusts the priority of the information.

[0156] Ultimately, the server provides the user with tailored information. Here, push notifications or email notifications are selected based on the user's emotions.

[0157] As a concrete example, suppose a user registers information about their "favorite" and enters a prompt saying, "Please tell me the latest news. I'd also appreciate some uplifting information." Based on this prompt, the server prioritizes collecting the latest relevant news and provides the information in the most appropriate format according to the user's emotional state.

[0158] This system selects information according to the individual needs of users and provides an emotion-based purchasing experience, thereby achieving efficient and personalized information delivery.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] Users use a device to enter and register information about items of interest. This input may include the names of specific people or keywords related to products. This registration information is sent to the server and forms the basis for subsequent data collection.

[0162] Step 2:

[0163] The server collects data from external sources. Based on registered keywords, it uses web crawling technology to retrieve relevant information from news sites and social media. Technologies used include API access and web crawlers (e.g., Scrapy). The input for this step is keywords entered by the user, and the output is the raw text data associated with those keywords.

[0164] Step 3:

[0165] The server analyzes the collected data. Natural language processing techniques are used to analyze the text data and quantify the importance of the information. Specifically, the Google Cloud Natural Language API is used to calculate the importance score. The input is the collected text data, and the output is information with an importance-based score.

[0166] Step 4:

[0167] The terminal evaluates the user's emotional state. The user's input method and reaction speed are observed, and an emotion analysis device analyzes the emotional state. In some cases, a facial recognition camera may be used as additional hardware. The resulting emotional data is sent to a server. The input is user behavior data, and the output is the analyzed emotional state.

[0168] Step 5:

[0169] The server adjusts importance scores based on the sentiment score. The sentiment state and importance score are integrated, and the information best suited to the user's current emotions is selected. Information priorities are reset according to the sentiment score. The input is the sentiment score obtained from sentiment analysis, and the output is the adjusted, prioritized information.

[0170] Step 6:

[0171] The server notifies the user of information. The appropriate notification method, such as push notifications or email, is selected based on the user's emotional state, and filtered information is provided. Furthermore, if a high excitement score is detected, products are added to the automated purchase list. The input is prioritized information, and the output is the information notified to the user and the automated purchase mechanism.

[0172] (Application Example 2)

[0173] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0174] E-commerce sites face challenges in providing information tailored to users' emotional states and automating the purchasing process, resulting in limited improvements to the user experience. Furthermore, it's difficult to quickly and accurately provide users with the latest information on items and products they are interested in. Improving user satisfaction requires information presentation that takes emotional states into account and automated purchasing processes.

[0175] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0176] In this invention, the server includes means for users to register information about specific objects or products, means for an information processing device to periodically check external information sources and collect relevant information based on the registered information, and means for an emotion engine to analyze the user's emotional state and adjust the information display and notification methods. This makes it possible to present information and automate purchasing in accordance with the user's emotional state.

[0177] A "user" is a typical user who uses the system to obtain and register information about specific subjects or products.

[0178] "Target" refers to a person, product, or piece of information that evokes a specific interest or concern.

[0179] "Products" refer to a general term for goods and services available in markets or on online platforms.

[0180] An "information processing device" refers to a computer system or server used for collecting, analyzing, and filtering data.

[0181] "External information sources" refer to external sources of information on the internet, such as websites, databases, and news feeds, that provide information related to the subject or product.

[0182] An "emotion engine" refers to algorithms and technologies used to analyze a user's emotional state, making it possible to evaluate the user's emotional response.

[0183] "Information display and notification methods" refer to the techniques and designs used to present collected relevant information to users.

[0184] "Purchase automation" refers to the process of automatically executing product purchases based on the user's purchasing intent and emotional state.

[0185] In this application example, users input information about specific objects or products using a device such as a smartphone and register it in the system. The system uses a server as an information processing device and periodically checks external information sources to collect relevant information based on the registered information. The hardware used includes a smartphone, server, and facial recognition camera.

[0186] The collected information is analyzed using natural language processing technology, and an importance score is calculated. Furthermore, the emotion engine uses information obtained from the facial recognition camera and input data to analyze the user's emotional state. The emotion engine uses algorithms to generate an emotion score from the user's facial expressions, input timing, and selected items.

[0187] The server re-evaluates the importance of information based on sentiment scores and notifies the user of the selected information. The notification method is adjusted to the user's emotional state, emphasizing positive information and sending push notifications at the optimal time. For example, if a user shows high excitement for a particular product, it will be added to the automated purchase list according to certain rules, automating the purchasing process.

[0188] As a concrete example, if a user is looking for a new smartphone and their level of excitement is detected to be particularly high, they will receive priority push notifications about the latest models and promotions. An example of a prompt message using a generative AI model to explain a situation with a high sentiment score would be: "Based on the keyword 'new smartphone,' we detected a high purchase intent from the user's smile. Please send recommended products and promotion information to the user as a push notification."

[0189] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0190] Step 1:

[0191] The user enters information about a specific subject or product into a terminal and registers it in the system. In this step, the user enters the product name or keywords of interest using an interface such as a smartphone. The entered data is sent to the server and registered as basic data for the next processing step.

[0192] Step 2:

[0193] The server periodically checks external information sources and collects relevant information based on registered information. In this process, the server uses crawling techniques to scan databases and news feeds on the internet. The collected information is structured through syntactic analysis and used for subsequent analysis. The input is registered information, and the output is a dataset of related information.

[0194] Step 3:

[0195] The server uses natural language processing techniques to analyze the collected information and score its importance. In this step, the collected information set is analyzed using text analysis to evaluate the relevance and importance of the information. Relevant information is used as input data, and the importance score for each piece of information is obtained as output.

[0196] Step 4:

[0197] The device uses an emotion engine to analyze the user's emotional state. It collects data in real time from a facial recognition camera and the user's input actions to generate an emotion score. The input uses the user's facial expression data and input tempo, and the output is the user's emotion score.

[0198] Step 5:

[0199] The server integrates sentiment scores and information importance scores to determine notification priority. Here, information ranking is adjusted based on sentiment scores, enabling presentation in the most appropriate format. Input includes sentiment scores and information importance scores, while output is a list of information to be presented.

[0200] Step 6:

[0201] The server notifies the user's device of the selected information. In this step, particularly important information is provided to the user as a push notification. The information is presented in a way that suits the user's emotional state, maximizing their interest and engagement.

[0202] Step 7:

[0203] The server monitors sales information for limited-edition products and automates the purchase process. Here, if the emotion engine determines that the user has a high purchase intent, it automatically adds the product to the purchase list and executes the necessary procedures. Inputs include emotion status and product information, while outputs include updating the purchase list and initiating the purchase process.

[0204] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0205] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0206] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0210] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0211] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0212] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0213] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0214] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0215] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0216] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0217] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0218] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0219] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0220] This invention is a system that allows users to efficiently collect information about specific people or products and to automatically perform purchase procedures for limited-edition products and event information. The program's processing is described below in natural language.

[0221] First, users register information about their favorite person or idol in the system using their device. This registration includes the name of the specific person, related keywords, product categories of interest, and event types. This information is sent from the user's device to the server. Based on this information, the server prepares to retrieve data from various external sources.

[0222] Next, the server periodically crawls social media and news sites to collect data related to the registered information. This collection process is automated using API calls and web crawling techniques. The collected data is analyzed within the server. Natural language processing techniques are used in this analysis to scrutinize the data's content. Specifically, important keywords are extracted from the collected information, and the importance of the information is determined based on these keywords. Information selected based on importance is then notified to the user as highly relevant.

[0223] For example, if the server finds the latest news article about a specific person and determines that the article is highly topical, a push notification will be immediately sent to the user's device. This notification allows the user to receive information in a timely manner.

[0224] Furthermore, for limited-edition items, the server monitors the relevant website, and when the product goes on sale, it automatically initiates the purchase process based on pre-registered purchase settings. Pre-registration includes payment information and shipping address information, which the server uses to expedite the purchase. After purchase, users can receive a purchase completion notification through their device.

[0225] Thus, the present invention integrates the processes of information gathering and product purchase, enabling users to achieve their goals with minimal effort. This system allows users to ensure they don't miss out on important information and can reliably obtain essential products in their fan activities.

[0226] The following describes the processing flow.

[0227] Step 1:

[0228] The user launches a dedicated application on their device, enters the name of their favorite idol or related keywords, and sends them to the server. The server receives this information and prepares to generate a search query.

[0229] Step 2:

[0230] The server sets up regular tasks and begins collecting data from external sources. Specifically, it uses SNS APIs and RSS feeds from news sites to collect information based on registered keywords. This information is stored in storage.

[0231] Step 3:

[0232] An AI agent on the server analyzes the collected data. It uses natural language processing techniques to scan the information and extract important items and news topics. Then, it scores and identifies the importance of each piece of information.

[0233] Step 4:

[0234] The server assigns scores to the filtered information based on the user's interests and selects the most relevant information. This selection is then tagged as information the user needs.

[0235] Step 5:

[0236] The server sends filtered information to the user's device via push notification, allowing the user to check the information in a timely manner on their device. The notifications include the latest news, important events, and product information.

[0237] Step 6:

[0238] The server monitors the release information of limited-edition products and executes automated purchase commands based on pre-configured conditions. Using the configured purchase information, the system proceeds with the purchase process as soon as sales begin.

[0239] Step 7:

[0240] Once the purchase is complete, the server notifies the user's device with the details and allows them to confirm the purchase's success status. The user can then check their purchase history and shipping status on their device.

[0241] (Example 1)

[0242] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0243] There is a need for a system that can efficiently collect information about specific people or products that users are interested in, and that can also quickly purchase limited-edition products. However, current methods may result in missed information or lost purchase opportunities, so these need to be reduced.

[0244] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0245] In this invention, the server includes means for users to register information related to their areas of interest using an information input device, means for a data management device to periodically patrol external information sources and automatically collect relevant data according to the registered information, and means for an analysis device to score the collected data based on key indicators and select highly relevant information. This enables users to collect information without missing anything and to quickly purchase limited-edition products.

[0246] An "information input device" is a device used to register specific information that a user is interested in.

[0247] A "data management device" is a device that periodically visits external information sources and automatically collects the necessary data.

[0248] An "analysis device" is a device that scores collected data based on key indicators and selects information accordingly.

[0249] An "external information source" refers to an information provider on the Internet from which a data management device collects information.

[0250] "Automatically collecting data" refers to the process by which a system independently collects data without specific instructions.

[0251] "Scoring" is the process of quantifying the importance of collected data.

[0252] "Highly relevant information" refers to information that is deemed to have a high degree of relevance to the information registered by the user.

[0253] "Instant notification" is a system function that allows users to receive relevant information quickly.

[0254] "Purchase processing" is the automated process for acquiring limited-edition products.

[0255] "Specific sales commencement" refers to the public commencement of the provision of a product or service.

[0256] "Natural language recognition technology" refers to the technology used by computers to understand and analyze human language.

[0257] To implement this invention, the user first registers information about their favorite person using a terminal. Specifically, they input the name of a particular person, related keywords, product categories of interest, and types of events, and then send this information to a server. The terminal used is a typical personal electronic device such as a smartphone or tablet computer. Application software for information input is also installed on the terminal. This software provides the user with an input screen and creates an interface for sending information to the server.

[0258] Next, the server starts the data collection process using the received information. This server includes a central processing unit and functions as a data management device. The server uses BeautifulSoup, a Python scraping library, and Selenium, a web browser automation tool, to collect necessary information from social media and news sites. The collected data is analyzed by natural language processing technology executed within the server. Generative AI models are used to automatically extract important keywords from the data and classify them as highly relevant information.

[0259] When the server identifies highly relevant information, it immediately notifies the user via a notification service such as Firebase Cloud Messaging. This notification feature allows users to quickly obtain the information and take the necessary actions.

[0260] Furthermore, the server monitors sales information for limited-edition products, and when a product goes on sale, it automatically processes the purchase based on pre-registered purchase information. Specifically, it uses the API of the e-commerce site to quickly complete the purchase procedure. Once the purchase is complete, a purchase completion notification is sent to the user's device.

[0261] As a concrete example of how this system can be used, users can set prompts such as "Collect and notify me of the latest news about celebrities" or "Automatically purchase specific limited-edition products when they go on sale," and receive the services they need. In this way, users can efficiently and automatically manage their information gathering and consumption behavior, making their fan activities more effective.

[0262] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0263] Step 1:

[0264] Users register information of interest in the system using a terminal. They provide information such as specific person names, related keywords, product categories, and event types as input. This information is sent to the server via dedicated application software. The server organizes the received data and stores it in a database.

[0265] Step 2:

[0266] The server periodically collects data from external sources based on a schedule. This process involves calling APIs from social media and news sites to retrieve relevant content. It uses a user-registered keyword list as input to filter the data. The filtered text data is then retrieved as output and stored as a dataset for analysis.

[0267] Step 3:

[0268] The server processes the data collected by the analysis device. It uses a generative AI model and applies natural language processing techniques to analyze the text data. Using the raw data acquired as input, it performs data processing to extract important keywords and phrases. As output, information with importance scores is generated and listed as highly relevant information.

[0269] Step 4:

[0270] The server analyzes the data and selects high-priority information for notification. This selected information is sent to the user's device via a notification service such as Firebase Cloud Messaging. The input is scored and selected information, and the output is an immediate notification to the user. This allows users to receive timely news and event information that interests them.

[0271] Step 5:

[0272] The server continuously monitors sales information for limited-edition products. When a product goes on sale, it initiates an automated purchasing process based on the user's pre-configured purchase information. It uses the e-commerce site's API to transmit the necessary product ID and payment information. Inputs are the sales start signal and pre-registered purchase data, and output is a successful purchase completion notification. This process ensures that users can reliably obtain the product.

[0273] (Application Example 1)

[0274] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0275] In this age of information overload, it is difficult for users to gather information on specific areas of interest or limited-edition products in a timely manner and to efficiently complete the purchase process. In particular, there is a need to accurately judge the importance of information and to make quick and accurate payments. This invention aims to improve user convenience by streamlining such information gathering and purchase procedures.

[0276] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0277] In this invention, the server includes means for users to register data about specific attributes and products, means for an information processing device to periodically check external data sources and collect relevant data based on the registered data, and means for completing purchases using pre-registered payment information in cooperation with a payment service. This enables users to purchase limited-edition products without missing specific information.

[0278] A "user" is an individual or group that seeks information about specific attributes or products.

[0279] "Data" refers to pre-registered information about topics and products that users are interested in.

[0280] An "information processing device" is a device for checking an external data source and collecting and analyzing relevant information based on the registered data.

[0281] An "external data source" is an external information provider for obtaining information, such as SNS, news sites, e-commerce sites, etc.

[0282] "Scoring importance" is a process of quantifying and judging the importance of information based on the collected data.

[0283] A "payment service" is an online payment platform for making payments when purchasing goods.

[0284] "Purchase completion" means that the purchase procedures for limited goods have been completed based on the purchase settings pre-registered by the user.

[0285] To implement this invention, it is required to build a system in which the user's terminal and the server cooperate to operate. The user uses a terminal such as a smartphone to input data related to specific attributes or products into the application. The terminal plays the role of sending the data to the server.

[0286] Based on the received data, the server functions as an information processing device. The server periodically checks SNS and news sites as external data sources and collects relevant information. In this process, external APIs such as Google API and Twitter API are used, and web crawling technology is fully utilized to collect information.

[0287] The collected data is analyzed using a natural language processing engine such as Google NLP. As a result of the analysis, the importance of the information is scored, and highly relevant information is selected.

[0288] When purchasing limited-edition items, the server integrates with a payment service to automatically complete the purchase using the user's pre-registered payment information. Users can receive a purchase completion notification through their own device.

[0289] As a concrete example, if a user registers information about a specific product in the app, the server will monitor the sales information of that product in real time and automatically execute a purchase as soon as it goes on sale. An example of a prompt message to the generating AI model in this process would be: "Based on the user's registered interests, please collect relevant news from social media. Also, check the sales information for the specified product category and automatically proceed with the purchase."

[0290] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0291] Step 1:

[0292] Users input data about specific attributes or products into the application using their own devices. This input data includes names of people of interest, product categories, and event types. This data is then sent to the server via the device.

[0293] Step 2:

[0294] The server analyzes the received data and prepares to collect information from external data sources. Specifically, it sets up API calls to link with social media and news sites based on keywords entered by the user. This setting allows the process of collecting relevant information to begin.

[0295] Step 3:

[0296] The server periodically visits external data sources and analyzes the collected information using natural language processing techniques. For example, it uses Google NLP to score the importance of articles and posts containing keywords of interest. This identifies information that is likely to be of interest to the user.

[0297] Step 4:

[0298] The server selects the most important information based on the analysis results. This selected information is then sent to the user's device as a push notification based on its relevance. This allows the user to quickly receive the latest information.

[0299] Step 5:

[0300] During the purchase process for limited-edition products, the server monitors the relevant website. Upon detecting the start of product sales, it automatically completes the purchase using the payment service based on the user's pre-registered purchase settings. After the purchase is complete, the user is notified via their device.

[0301] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0302] This invention is a system that efficiently collects information about specific people or products and provides information based on the user's emotions. By combining this system with an emotion engine, it enables the selection and notification of information that takes the user's emotions into consideration.

[0303] The system starts with the user entering the name of their favorite and related keywords on the terminal and registering them with the server in advance. Based on the registered information, the server then prepares to automatically collect relevant information from external information sources. The collected information is analyzed using natural language processing technology and scored for importance. Additionally, there is an emotion engine that recognizes the user's emotional state. For example, the emotional state is evaluated using the user's input pace, the way they select options, or a face recognition camera.

[0304] The server utilizes the emotion engine to analyze the user's emotional information and re-evaluate the importance of the information accordingly. At this time, the emotion engine outputs the strength of interest as an emotion score, and adjusts the priority of the information based on this score. At the same time, a notification method based on emotion is selected, and the information is presented in a form most suitable for the user's emotion.

[0305] For example, when the user is interested in news about their favorite, the server pushes the news notification more quickly than usual based on the emotion score. On the other hand, if the emotion engine determines that the user is in a depressed mood, it is possible to prioritize the display of information that raises the tension or positive news.

[0306] Furthermore, the automatic purchase function for limited products also operates in conjunction with the emotional information. When the user is evaluated as being particularly excited about a specific product, the emotion engine adds that product to the automatic purchase list preferentially.

[0307] In this way, by evaluating the user's emotion in real time and selecting and notifying appropriate information based on it, the user experience can be improved and efficient information collection can be supported. This invention makes it possible to make the user participation in the information provision and purchase process more comfortable.

[0308] The following explains the processing flow.

[0309] Step 1:

[0310] Users register information about specific people or products through an interface on their device. This registration process includes keywords, products of high interest, and event information, which are then sent from the device to the server.

[0311] Step 2:

[0312] The server initiates a task to periodically crawl external information sources. It issues API requests to information sources such as social media and news sites, and automatically collects information that matches registered keywords.

[0313] Step 3:

[0314] The server analyzes the collected information using natural language processing technology. The analysis classifies the information's content, and each piece of information is assigned an importance score.

[0315] Step 4:

[0316] When a user operates a device, the on-device emotion engine uses sensors to detect the user's input speed and facial expression data, and evaluates the user's emotional state in real time. This evaluation result is sent to the server as an emotion score.

[0317] Step 5:

[0318] The server adjusts the importance score of the collected information based on the sentiment score. The priority of the selected information is updated to reflect the user's level of excitement, ensuring that the most relevant information is chosen.

[0319] Step 6:

[0320] Selected information is pushed from the server to the user's device. The notification is optimized according to the user's emotional state and displayed at the appropriate time and in the appropriate way (e.g., pop-up, audio notification).

[0321] Step 7:

[0322] The device uses emotion engine data to detect a high level of interest in purchasing a limited-edition item, and if this is detected, it automatically sends a purchase request to the server. The server then uses the registered purchase information to execute the purchase process as soon as sales begin.

[0323] Step 8:

[0324] Once the purchase is complete, the server sends a purchase confirmation notification to the user's device and displays detailed information. The user can then check their purchase history and delivery status on their device.

[0325] (Example 2)

[0326] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0327] In today's world, where information is becoming increasingly diverse and vast, it is difficult to efficiently collect only the information users want and to select and provide that information according to their individual emotional state. Furthermore, it is not easy to actively purchase limited-edition products without missing sales opportunities, and there is a problem in that information is not being provided in a way that suits the user's emotions.

[0328] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0329] In this invention, the server includes means for a user to register information about specific items, means for an information processing device to verify external information sources and collect data based on the registered information, and means for an emotion analysis device to evaluate the user's emotional state and adjust the priority of information. This enables efficient information collection and provision in accordance with the user's emotions, as well as emotion-based automated purchasing.

[0330] A "user" is defined as an entity that uses the system's functions to input and register information related to specific items.

[0331] An "information processing device" is a device that collects data from external sources, analyzes it, and quantifies its importance.

[0332] "Natural language processing technology" is a technique used to analyze collected text data and understand its meaning and importance.

[0333] An "emotion analysis device" is a device that evaluates the user's emotional state based on their input and actions, and adjusts the priority of information accordingly.

[0334] An "emotion score" is an index that quantifies a user's emotional state and serves as a criterion for adjusting the priority of information provision.

[0335] "Automated purchasing" is a process that automatically executes the purchase of products selected based on the user's emotional state.

[0336] "External information sources" refer to a variety of data sources available on the internet, including news articles and social media posts.

[0337] This invention is a system that collects specific information and provides information and performs automated purchasing based on the user's emotional state. Specific embodiments are shown below.

[0338] Users first use a terminal to enter the names of items they are interested in and related keywords. This information is then registered on the server as recommendations and potential purchase items.

[0339] The server crawls external information sources on the internet based on registered keywords. Web crawling techniques are used to efficiently collect data. Specifically, common software frameworks (e.g., Scrapy) and APIs (e.g., SNS APIs) are employed.

[0340] The collected data is analyzed on the server using natural language processing techniques. Tools such as the Google Cloud Natural Language API and spaCy are crucial in this step, as they score the importance of the information.

[0341] Next, the device evaluates the user's emotional state. This evaluation uses emotion analysis software, which infers the emotional state from the speed and patterns of input. Other hardware, such as facial recognition cameras, may also be used. Based on this information, the server calculates an emotion score and adjusts the priority of the information.

[0342] Ultimately, the server provides the user with tailored information. Here, push notifications or email notifications are selected based on the user's emotions.

[0343] As a concrete example, suppose a user registers information about their "favorite" and enters a prompt saying, "Please tell me the latest news. I'd also appreciate some uplifting information." Based on this prompt, the server prioritizes collecting the latest relevant news and provides the information in the most appropriate format according to the user's emotional state.

[0344] This system selects information according to the individual needs of users and provides an emotion-based purchasing experience, thereby achieving efficient and personalized information delivery.

[0345] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0346] Step 1:

[0347] Users use a device to enter and register information about items of interest. This input may include the names of specific people or keywords related to products. This registration information is sent to the server and forms the basis for subsequent data collection.

[0348] Step 2:

[0349] The server collects data from external sources. Based on registered keywords, it uses web crawling technology to retrieve relevant information from news sites and social media. Technologies used include API access and web crawlers (e.g., Scrapy). The input for this step is keywords entered by the user, and the output is the raw text data associated with those keywords.

[0350] Step 3:

[0351] The server analyzes the collected data. Natural language processing techniques are used to analyze the text data and quantify the importance of the information. Specifically, the Google Cloud Natural Language API is used to calculate the importance score. The input is the collected text data, and the output is information with an importance-based score.

[0352] Step 4:

[0353] The terminal evaluates the user's emotional state. The user's input method and reaction speed are observed, and an emotion analysis device analyzes the emotional state. In some cases, a facial recognition camera may be used as additional hardware. The resulting emotional data is sent to a server. The input is user behavior data, and the output is the analyzed emotional state.

[0354] Step 5:

[0355] The server adjusts importance scores based on the sentiment score. The sentiment state and importance score are integrated, and the information best suited to the user's current emotions is selected. Information priorities are reset according to the sentiment score. The input is the sentiment score obtained from sentiment analysis, and the output is the adjusted, prioritized information.

[0356] Step 6:

[0357] The server notifies the user of information. The appropriate notification method, such as push notifications or email, is selected based on the user's emotional state, and filtered information is provided. Furthermore, if a high excitement score is detected, products are added to the automated purchase list. The input is prioritized information, and the output is the information notified to the user and the automated purchase mechanism.

[0358] (Application Example 2)

[0359] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0360] E-commerce sites face challenges in providing information tailored to users' emotional states and automating the purchasing process, resulting in limited improvements to the user experience. Furthermore, it's difficult to quickly and accurately provide users with the latest information on items and products they are interested in. Improving user satisfaction requires information presentation that takes emotional states into account and automated purchasing processes.

[0361] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0362] In this invention, the server includes means for users to register information about specific objects or products, means for an information processing device to periodically check external information sources and collect relevant information based on the registered information, and means for an emotion engine to analyze the user's emotional state and adjust the information display and notification methods. This makes it possible to present information and automate purchasing in accordance with the user's emotional state.

[0363] A "user" is a typical user who uses the system to obtain and register information about specific subjects or products.

[0364] "Target" refers to a person, product, or piece of information that evokes a specific interest or concern.

[0365] "Products" refer to a general term for goods and services available in markets or on online platforms.

[0366] An "information processing device" refers to a computer system or server used for collecting, analyzing, and filtering data.

[0367] "External information sources" refer to external sources of information on the internet, such as websites, databases, and news feeds, that provide information related to the subject or product.

[0368] An "emotion engine" refers to algorithms and technologies used to analyze a user's emotional state, making it possible to evaluate the user's emotional response.

[0369] "Information display and notification methods" refer to the techniques and designs used to present collected relevant information to users.

[0370] "Purchase automation" refers to the process of automatically executing product purchases based on the user's purchasing intent and emotional state.

[0371] In this application example, users input information about specific objects or products using a device such as a smartphone and register it in the system. The system uses a server as an information processing device and periodically checks external information sources to collect relevant information based on the registered information. The hardware used includes a smartphone, server, and facial recognition camera.

[0372] The collected information is analyzed using natural language processing technology, and an importance score is calculated. Furthermore, the emotion engine uses information obtained from the facial recognition camera and input data to analyze the user's emotional state. The emotion engine uses algorithms to generate an emotion score from the user's facial expressions, input timing, and selected items.

[0373] The server re-evaluates the importance of information based on sentiment scores and notifies the user of the selected information. The notification method is adjusted to the user's emotional state, emphasizing positive information and sending push notifications at the optimal time. For example, if a user shows high excitement for a particular product, it will be added to the automated purchase list according to certain rules, automating the purchasing process.

[0374] As a concrete example, if a user is looking for a new smartphone and their level of excitement is detected to be particularly high, they will receive priority push notifications about the latest models and promotions. An example of a prompt message using a generative AI model to explain a situation with a high sentiment score would be: "Based on the keyword 'new smartphone,' we detected a high purchase intent from the user's smile. Please send recommended products and promotion information to the user as a push notification."

[0375] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0376] Step 1:

[0377] The user enters information about a specific subject or product into a terminal and registers it in the system. In this step, the user enters the product name or keywords of interest using an interface such as a smartphone. The entered data is sent to the server and registered as basic data for the next processing step.

[0378] Step 2:

[0379] The server periodically checks external information sources and collects relevant information based on registered information. In this process, the server uses crawling techniques to scan databases and news feeds on the internet. The collected information is structured through syntactic analysis and used for subsequent analysis. The input is registered information, and the output is a dataset of related information.

[0380] Step 3:

[0381] The server uses natural language processing techniques to analyze the collected information and score its importance. In this step, the collected information set is analyzed using text analysis to evaluate the relevance and importance of the information. Relevant information is used as input data, and the importance score for each piece of information is obtained as output.

[0382] Step 4:

[0383] The device uses an emotion engine to analyze the user's emotional state. It collects data in real time from a facial recognition camera and the user's input actions to generate an emotion score. The input uses the user's facial expression data and input tempo, and the output is the user's emotion score.

[0384] Step 5:

[0385] The server integrates sentiment scores and information importance scores to determine notification priority. Here, information ranking is adjusted based on sentiment scores, enabling presentation in the most appropriate format. Input includes sentiment scores and information importance scores, while output is a list of information to be presented.

[0386] Step 6:

[0387] The server notifies the user's device of the selected information. In this step, particularly important information is provided to the user as a push notification. The information is presented in a way that suits the user's emotional state, maximizing their interest and engagement.

[0388] Step 7:

[0389] The server monitors sales information for limited-edition products and automates the purchase process. Here, if the emotion engine determines that the user has a high purchase intent, it automatically adds the product to the purchase list and executes the necessary procedures. Inputs include emotion status and product information, while outputs include updating the purchase list and initiating the purchase process.

[0390] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0391] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0392] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0393] [Third Embodiment]

[0394] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0395] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0396] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0397] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0398] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0399] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0400] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0401] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0402] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0403] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0404] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0405] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0406] This invention is a system that allows users to efficiently collect information about specific people or products and to automatically perform purchase procedures for limited-edition products and event information. The program's processing is described below in natural language.

[0407] First, users register information about their favorite person or idol in the system using their device. This registration includes the name of the specific person, related keywords, product categories of interest, and event types. This information is sent from the user's device to the server. Based on this information, the server prepares to retrieve data from various external sources.

[0408] Next, the server periodically crawls social media and news sites to collect data related to the registered information. This collection process is automated using API calls and web crawling techniques. The collected data is analyzed within the server. Natural language processing techniques are used in this analysis to scrutinize the data's content. Specifically, important keywords are extracted from the collected information, and the importance of the information is determined based on these keywords. Information selected based on importance is then notified to the user as highly relevant.

[0409] For example, if the server finds the latest news article about a specific person and determines that the article is highly topical, a push notification will be immediately sent to the user's device. This notification allows the user to receive information in a timely manner.

[0410] Furthermore, for limited-edition items, the server monitors the relevant website, and when the product goes on sale, it automatically initiates the purchase process based on pre-registered purchase settings. Pre-registration includes payment information and shipping address information, which the server uses to expedite the purchase. After purchase, users can receive a purchase completion notification through their device.

[0411] Thus, the present invention integrates the processes of information gathering and product purchase, enabling users to achieve their goals with minimal effort. This system allows users to ensure they don't miss out on important information and can reliably obtain essential products in their fan activities.

[0412] The following describes the processing flow.

[0413] Step 1:

[0414] The user launches a dedicated application on their device, enters the name of their favorite idol or related keywords, and sends them to the server. The server receives this information and prepares to generate a search query.

[0415] Step 2:

[0416] The server sets up regular tasks and begins collecting data from external sources. Specifically, it uses SNS APIs and RSS feeds from news sites to collect information based on registered keywords. This information is stored in storage.

[0417] Step 3:

[0418] An AI agent on the server analyzes the collected data. It uses natural language processing techniques to scan the information and extract important items and news topics. Then, it scores and identifies the importance of each piece of information.

[0419] Step 4:

[0420] The server assigns scores to the filtered information based on the user's interests and selects the most relevant information. This selection is then tagged as information the user needs.

[0421] Step 5:

[0422] The server sends filtered information to the user's device via push notification, allowing the user to check the information in a timely manner on their device. The notifications include the latest news, important events, and product information.

[0423] Step 6:

[0424] The server monitors the release information of limited-edition products and executes automated purchase commands based on pre-configured conditions. Using the configured purchase information, the system proceeds with the purchase process as soon as sales begin.

[0425] Step 7:

[0426] Once the purchase is complete, the server notifies the user's device with the details and allows them to confirm the purchase's success status. The user can then check their purchase history and shipping status on their device.

[0427] (Example 1)

[0428] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0429] There is a need for a system that can efficiently collect information about specific people or products that users are interested in, and that can also quickly purchase limited-edition products. However, current methods may result in missed information or lost purchase opportunities, so these need to be reduced.

[0430] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0431] In this invention, the server includes means for users to register information related to their areas of interest using an information input device, means for a data management device to periodically patrol external information sources and automatically collect relevant data according to the registered information, and means for an analysis device to score the collected data based on key indicators and select highly relevant information. This enables users to collect information without missing anything and to quickly purchase limited-edition products.

[0432] An "information input device" is a device used to register specific information that a user is interested in.

[0433] A "data management device" is a device that periodically visits external information sources and automatically collects the necessary data.

[0434] An "analysis device" is a device that scores collected data based on key indicators and selects information accordingly.

[0435] An "external information source" refers to an information provider on the Internet from which a data management device collects information.

[0436] "Automatically collecting data" refers to the process by which a system independently collects data without specific instructions.

[0437] "Scoring" is the process of quantifying the importance of collected data.

[0438] "Highly relevant information" refers to information that is deemed to have a high degree of relevance to the information registered by the user.

[0439] "Instant notification" is a system function that allows users to receive relevant information quickly.

[0440] "Purchase processing" is the automated process for acquiring limited-edition products.

[0441] "Specific sales commencement" refers to the public commencement of the provision of a product or service.

[0442] "Natural language recognition technology" refers to the technology used by computers to understand and analyze human language.

[0443] To implement this invention, the user first registers information about their favorite person using a terminal. Specifically, they input the name of a particular person, related keywords, product categories of interest, and types of events, and then send this information to a server. The terminal used is a typical personal electronic device such as a smartphone or tablet computer. Application software for information input is also installed on the terminal. This software provides the user with an input screen and creates an interface for sending information to the server.

[0444] Next, the server starts the data collection process using the received information. This server includes a central processing unit and functions as a data management device. The server uses BeautifulSoup, a Python scraping library, and Selenium, a web browser automation tool, to collect necessary information from social media and news sites. The collected data is analyzed by natural language processing technology executed within the server. Generative AI models are used to automatically extract important keywords from the data and classify them as highly relevant information.

[0445] When the server identifies highly relevant information, it immediately notifies the user via a notification service such as Firebase Cloud Messaging. This notification feature allows users to quickly obtain the information and take the necessary actions.

[0446] Furthermore, the server monitors sales information for limited-edition products, and when a product goes on sale, it automatically processes the purchase based on pre-registered purchase information. Specifically, it uses the API of the e-commerce site to quickly complete the purchase procedure. Once the purchase is complete, a purchase completion notification is sent to the user's device.

[0447] As a concrete example of how this system can be used, users can set prompts such as "Collect and notify me of the latest news about celebrities" or "Automatically purchase specific limited-edition products when they go on sale," and receive the services they need. In this way, users can efficiently and automatically manage their information gathering and consumption behavior, making their fan activities more effective.

[0448] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0449] Step 1:

[0450] Users register information of interest in the system using a terminal. They provide information such as specific person names, related keywords, product categories, and event types as input. This information is sent to the server via dedicated application software. The server organizes the received data and stores it in a database.

[0451] Step 2:

[0452] The server periodically collects data from external sources based on a schedule. This process involves calling APIs from social media and news sites to retrieve relevant content. It uses a user-registered keyword list as input to filter the data. The filtered text data is then retrieved as output and stored as a dataset for analysis.

[0453] Step 3:

[0454] The server processes the data collected by the analysis device. It uses a generative AI model and applies natural language processing techniques to analyze the text data. Using the raw data acquired as input, it performs data processing to extract important keywords and phrases. As output, information with importance scores is generated and listed as highly relevant information.

[0455] Step 4:

[0456] The server analyzes the data and selects high-priority information for notification. This selected information is sent to the user's device via a notification service such as Firebase Cloud Messaging. The input is scored and selected information, and the output is an immediate notification to the user. This allows users to receive timely news and event information that interests them.

[0457] Step 5:

[0458] The server continuously monitors sales information for limited-edition products. When a product goes on sale, it initiates an automated purchasing process based on the user's pre-configured purchase information. It uses the e-commerce site's API to transmit the necessary product ID and payment information. Inputs are the sales start signal and pre-registered purchase data, and output is a successful purchase completion notification. This process ensures that users can reliably obtain the product.

[0459] (Application Example 1)

[0460] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0461] In this age of information overload, it is difficult for users to gather information on specific areas of interest or limited-edition products in a timely manner and to efficiently complete the purchase process. In particular, there is a need to accurately judge the importance of information and to make quick and accurate payments. This invention aims to improve user convenience by streamlining such information gathering and purchase procedures.

[0462] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0463] In this invention, the server includes means for users to register data about specific attributes and products, means for an information processing device to periodically check external data sources and collect relevant data based on the registered data, and means for completing purchases using pre-registered payment information in cooperation with a payment service. This enables users to purchase limited-edition products without missing specific information.

[0464] A "user" is an individual or group that seeks information about specific attributes or products.

[0465] "Data" refers to pre-registered information about topics and products that users are interested in.

[0466] An "information processing device" is a device that checks external data sources and collects and analyzes relevant information based on registered data.

[0467] "External data sources" refer to external sources of information from which information is obtained, such as social media, news sites, and e-commerce sites.

[0468] "Scoring importance" is the process of quantifying and judging the importance of information based on collected data.

[0469] A "payment service" is an online payment platform used to make payments when purchasing goods.

[0470] "Purchase Complete" means that the user has completed all procedures for purchasing a limited-edition product based on the purchase settings they registered in advance.

[0471] To implement this invention, it is necessary to build a system in which a user's device and a server work together. The user uses a device such as a smartphone to input data about specific attributes or products into an application. The device is responsible for transmitting that data to the server.

[0472] The server functions as an information processing device based on the data it receives. The server periodically checks social media and news sites as external data sources to collect relevant information. This process utilizes external APIs such as the Google API and Twitter API, and employs web crawling techniques to gather information.

[0473] The collected data is analyzed using natural language processing engines such as Google NLP. The analysis results in a score indicating the importance of the information, and highly relevant information is selected.

[0474] When purchasing limited-edition items, the server integrates with a payment service to automatically complete the purchase using the user's pre-registered payment information. Users can receive a purchase completion notification through their own device.

[0475] As a concrete example, if a user registers information about a specific product in the app, the server will monitor the sales information of that product in real time and automatically execute a purchase as soon as it goes on sale. An example of a prompt message to the generating AI model in this process would be: "Based on the user's registered interests, please collect relevant news from social media. Also, check the sales information for the specified product category and automatically proceed with the purchase."

[0476] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0477] Step 1:

[0478] Users input data about specific attributes or products into the application using their own devices. This input data includes names of people of interest, product categories, and event types. This data is then sent to the server via the device.

[0479] Step 2:

[0480] The server analyzes the received data and prepares to collect information from external data sources. Specifically, it sets up API calls to link with social media and news sites based on keywords entered by the user. This setting allows the process of collecting relevant information to begin.

[0481] Step 3:

[0482] The server periodically visits external data sources and analyzes the collected information using natural language processing techniques. For example, it uses Google NLP to score the importance of articles and posts containing keywords of interest. This identifies information that is likely to be of interest to the user.

[0483] Step 4:

[0484] The server selects the most important information based on the analysis results. This selected information is then sent to the user's device as a push notification based on its relevance. This allows the user to quickly receive the latest information.

[0485] Step 5:

[0486] During the purchase process for limited-edition products, the server monitors the relevant website. Upon detecting the start of product sales, it automatically completes the purchase using the payment service based on the user's pre-registered purchase settings. After the purchase is complete, the user is notified via their device.

[0487] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0488] This invention is a system that efficiently collects information about specific people or products and provides information based on the user's emotions. By combining this system with an emotion engine, it enables the selection and notification of information that takes the user's emotions into consideration.

[0489] The system begins with the user entering their favorite idol's name and related keywords on their device, which are then registered with the server. This allows the server to automatically collect relevant information from external sources based on the registered data. The collected information is analyzed using natural language processing technology and scored for importance. Furthermore, an emotion engine recognizes the user's emotional state. For example, the user's input pace, choice of options, and facial recognition camera are used to evaluate their emotional state.

[0490] The server utilizes an emotion engine to analyze the user's emotional information and re-evaluate the importance of the information accordingly. The emotion engine outputs an emotional score indicating the level of interest, and adjusts the information priority based on this score. Simultaneously, it selects an emotion-based notification method, presenting information in a way that best suits the user's emotions.

[0491] For example, if a user is interested in news related to their favorite celebrity, the server will push news notifications more quickly than usual based on their sentiment score. On the other hand, if the sentiment engine determines that the user is feeling down, it can prioritize displaying uplifting information and positive news.

[0492] Furthermore, the automatic purchase function for limited-edition items also works in conjunction with emotional information. If a user is evaluated as being particularly excited about a particular product, the emotional engine will prioritize adding that product to the automatic purchase list.

[0493] In this way, by evaluating user emotions in real time and selecting and notifying appropriate information based on those emotions, it is possible to improve the user experience and support efficient information gathering. This invention makes it possible to make user participation in the information provision and purchasing process more comfortable.

[0494] The following describes the processing flow.

[0495] Step 1:

[0496] Users register information about specific people or products through an interface on their device. This registration process includes keywords, products of high interest, and event information, which are then sent from the device to the server.

[0497] Step 2:

[0498] The server initiates a task to periodically crawl external information sources. It issues API requests to information sources such as social media and news sites, and automatically collects information that matches registered keywords.

[0499] Step 3:

[0500] The server analyzes the collected information using natural language processing technology. The analysis classifies the information's content, and each piece of information is assigned an importance score.

[0501] Step 4:

[0502] When a user operates a device, the on-device emotion engine uses sensors to detect the user's input speed and facial expression data, and evaluates the user's emotional state in real time. This evaluation result is sent to the server as an emotion score.

[0503] Step 5:

[0504] The server adjusts the importance score of the collected information based on the sentiment score. The priority of the selected information is updated to reflect the user's level of excitement, ensuring that the most relevant information is chosen.

[0505] Step 6:

[0506] Selected information is pushed from the server to the user's device. The notification is optimized according to the user's emotional state and displayed at the appropriate time and in the appropriate way (e.g., pop-up, audio notification).

[0507] Step 7:

[0508] The device uses emotion engine data to detect a high level of interest in purchasing a limited-edition item, and if this is detected, it automatically sends a purchase request to the server. The server then uses the registered purchase information to execute the purchase process as soon as sales begin.

[0509] Step 8:

[0510] Once the purchase is complete, the server sends a purchase confirmation notification to the user's device and displays detailed information. The user can then check their purchase history and delivery status on their device.

[0511] (Example 2)

[0512] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0513] In today's world, where information is becoming increasingly diverse and vast, it is difficult to efficiently collect only the information users want and to select and provide that information according to their individual emotional state. Furthermore, it is not easy to actively purchase limited-edition products without missing sales opportunities, and there is a problem in that information is not being provided in a way that suits the user's emotions.

[0514] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0515] In this invention, the server includes means for a user to register information about specific items, means for an information processing device to verify external information sources and collect data based on the registered information, and means for an emotion analysis device to evaluate the user's emotional state and adjust the priority of information. This enables efficient information collection and provision in accordance with the user's emotions, as well as emotion-based automated purchasing.

[0516] A "user" is defined as an entity that uses the system's functions to input and register information related to specific items.

[0517] An "information processing device" is a device that collects data from external sources, analyzes it, and quantifies its importance.

[0518] "Natural language processing technology" is a technique used to analyze collected text data and understand its meaning and importance.

[0519] An "emotion analysis device" is a device that evaluates the user's emotional state based on their input and actions, and adjusts the priority of information accordingly.

[0520] An "emotion score" is an index that quantifies a user's emotional state and serves as a criterion for adjusting the priority of information provision.

[0521] "Automated purchasing" is a process that automatically executes the purchase of products selected based on the user's emotional state.

[0522] "External information sources" refer to a variety of data sources available on the internet, including news articles and social media posts.

[0523] This invention is a system that collects specific information and provides information and performs automated purchasing based on the user's emotional state. Specific embodiments are shown below.

[0524] Users first use a terminal to enter the names of items they are interested in and related keywords. This information is then registered on the server as recommendations and potential purchase items.

[0525] The server crawls external information sources on the internet based on registered keywords. Web crawling techniques are used to efficiently collect data. Specifically, common software frameworks (e.g., Scrapy) and APIs (e.g., SNS APIs) are employed.

[0526] The collected data is analyzed on the server using natural language processing techniques. Tools such as the Google Cloud Natural Language API and spaCy are crucial in this step, as they score the importance of the information.

[0527] Next, the device evaluates the user's emotional state. This evaluation uses emotion analysis software, which infers the emotional state from the speed and patterns of input. Other hardware, such as facial recognition cameras, may also be used. Based on this information, the server calculates an emotion score and adjusts the priority of the information.

[0528] Ultimately, the server provides the user with tailored information. Here, push notifications or email notifications are selected based on the user's emotions.

[0529] As a concrete example, suppose a user registers information about their "favorite" and enters a prompt saying, "Please tell me the latest news. I'd also appreciate some uplifting information." Based on this prompt, the server prioritizes collecting the latest relevant news and provides the information in the most appropriate format according to the user's emotional state.

[0530] This system selects information according to the individual needs of users and provides an emotion-based purchasing experience, thereby achieving efficient and personalized information delivery.

[0531] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0532] Step 1:

[0533] Users use a device to enter and register information about items of interest. This input may include the names of specific people or keywords related to products. This registration information is sent to the server and forms the basis for subsequent data collection.

[0534] Step 2:

[0535] The server collects data from external sources. Based on registered keywords, it uses web crawling technology to retrieve relevant information from news sites and social media. Technologies used include API access and web crawlers (e.g., Scrapy). The input for this step is keywords entered by the user, and the output is the raw text data associated with those keywords.

[0536] Step 3:

[0537] The server analyzes the collected data. Natural language processing techniques are used to analyze the text data and quantify the importance of the information. Specifically, the Google Cloud Natural Language API is used to calculate the importance score. The input is the collected text data, and the output is information with an importance-based score.

[0538] Step 4:

[0539] The terminal evaluates the user's emotional state. The user's input method and reaction speed are observed, and an emotion analysis device analyzes the emotional state. In some cases, a facial recognition camera may be used as additional hardware. The resulting emotional data is sent to a server. The input is user behavior data, and the output is the analyzed emotional state.

[0540] Step 5:

[0541] The server adjusts importance scores based on the sentiment score. The sentiment state and importance score are integrated, and the information best suited to the user's current emotions is selected. Information priorities are reset according to the sentiment score. The input is the sentiment score obtained from sentiment analysis, and the output is the adjusted, prioritized information.

[0542] Step 6:

[0543] The server notifies the user of information. The appropriate notification method, such as push notifications or email, is selected based on the user's emotional state, and filtered information is provided. Furthermore, if a high excitement score is detected, products are added to the automated purchase list. The input is prioritized information, and the output is the information notified to the user and the automated purchase mechanism.

[0544] (Application Example 2)

[0545] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0546] E-commerce sites face challenges in providing information tailored to users' emotional states and automating the purchasing process, resulting in limited improvements to the user experience. Furthermore, it's difficult to quickly and accurately provide users with the latest information on items and products they are interested in. Improving user satisfaction requires information presentation that takes emotional states into account and automated purchasing processes.

[0547] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0548] In this invention, the server includes means for users to register information about specific objects or products, means for an information processing device to periodically check external information sources and collect relevant information based on the registered information, and means for an emotion engine to analyze the user's emotional state and adjust the information display and notification methods. This makes it possible to present information and automate purchasing in accordance with the user's emotional state.

[0549] A "user" is a typical user who uses the system to obtain and register information about specific subjects or products.

[0550] "Target" refers to a person, product, or piece of information that evokes a specific interest or concern.

[0551] "Products" refer to a general term for goods and services available in markets or on online platforms.

[0552] An "information processing device" refers to a computer system or server used for collecting, analyzing, and filtering data.

[0553] "External information sources" refer to external sources of information on the internet, such as websites, databases, and news feeds, that provide information related to the subject or product.

[0554] An "emotion engine" refers to algorithms and technologies used to analyze a user's emotional state, making it possible to evaluate the user's emotional response.

[0555] "Information display and notification methods" refer to the techniques and designs used to present collected relevant information to users.

[0556] "Purchase automation" refers to the process of automatically executing product purchases based on the user's purchasing intent and emotional state.

[0557] In this application example, users input information about specific objects or products using a device such as a smartphone and register it in the system. The system uses a server as an information processing device and periodically checks external information sources to collect relevant information based on the registered information. The hardware used includes a smartphone, server, and facial recognition camera.

[0558] The collected information is analyzed using natural language processing technology, and an importance score is calculated. Furthermore, the emotion engine uses information obtained from the facial recognition camera and input data to analyze the user's emotional state. The emotion engine uses algorithms to generate an emotion score from the user's facial expressions, input timing, and selected items.

[0559] The server re-evaluates the importance of information based on sentiment scores and notifies the user of the selected information. The notification method is adjusted to the user's emotional state, emphasizing positive information and sending push notifications at the optimal time. For example, if a user shows high excitement for a particular product, it will be added to the automated purchase list according to certain rules, automating the purchasing process.

[0560] As a concrete example, if a user is looking for a new smartphone and their level of excitement is detected to be particularly high, they will receive priority push notifications about the latest models and promotions. An example of a prompt message using a generative AI model to explain a situation with a high sentiment score would be: "Based on the keyword 'new smartphone,' we detected a high purchase intent from the user's smile. Please send recommended products and promotion information to the user as a push notification."

[0561] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0562] Step 1:

[0563] The user enters information about a specific subject or product into a terminal and registers it in the system. In this step, the user enters the product name or keywords of interest using an interface such as a smartphone. The entered data is sent to the server and registered as basic data for the next processing step.

[0564] Step 2:

[0565] The server periodically checks external information sources and collects relevant information based on registered information. In this process, the server uses crawling techniques to scan databases and news feeds on the internet. The collected information is structured through syntactic analysis and used for subsequent analysis. The input is registered information, and the output is a dataset of related information.

[0566] Step 3:

[0567] The server uses natural language processing techniques to analyze the collected information and score its importance. In this step, the collected information set is analyzed using text analysis to evaluate the relevance and importance of the information. Relevant information is used as input data, and the importance score for each piece of information is obtained as output.

[0568] Step 4:

[0569] The device uses an emotion engine to analyze the user's emotional state. It collects data in real time from a facial recognition camera and the user's input actions to generate an emotion score. The input uses the user's facial expression data and input tempo, and the output is the user's emotion score.

[0570] Step 5:

[0571] The server integrates sentiment scores and information importance scores to determine notification priority. Here, information ranking is adjusted based on sentiment scores, enabling presentation in the most appropriate format. Input includes sentiment scores and information importance scores, while output is a list of information to be presented.

[0572] Step 6:

[0573] The server notifies the user's device of the selected information. In this step, particularly important information is provided to the user as a push notification. The information is presented in a way that suits the user's emotional state, maximizing their interest and engagement.

[0574] Step 7:

[0575] The server monitors sales information for limited-edition products and automates the purchase process. Here, if the emotion engine determines that the user has a high purchase intent, it automatically adds the product to the purchase list and executes the necessary procedures. Inputs include emotion status and product information, while outputs include updating the purchase list and initiating the purchase process.

[0576] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0577] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0578] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0579] [Fourth Embodiment]

[0580] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0581] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0582] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0583] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0584] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0585] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0586] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0587] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0588] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0589] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0590] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0591] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0592] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0593] This invention is a system that allows users to efficiently collect information about specific people or products and to automatically perform purchase procedures for limited-edition products and event information. The program's processing is described below in natural language.

[0594] First, users register information about their favorite person or idol in the system using their device. This registration includes the name of the specific person, related keywords, product categories of interest, and event types. This information is sent from the user's device to the server. Based on this information, the server prepares to retrieve data from various external sources.

[0595] Next, the server periodically crawls social media and news sites to collect data related to the registered information. This collection process is automated using API calls and web crawling techniques. The collected data is analyzed within the server. Natural language processing techniques are used in this analysis to scrutinize the data's content. Specifically, important keywords are extracted from the collected information, and the importance of the information is determined based on these keywords. Information selected based on importance is then notified to the user as highly relevant.

[0596] For example, if the server finds the latest news article about a specific person and determines that the article is highly topical, a push notification will be immediately sent to the user's device. This notification allows the user to receive information in a timely manner.

[0597] Furthermore, for limited-edition items, the server monitors the relevant website, and when the product goes on sale, it automatically initiates the purchase process based on pre-registered purchase settings. Pre-registration includes payment information and shipping address information, which the server uses to expedite the purchase. After purchase, users can receive a purchase completion notification through their device.

[0598] Thus, the present invention integrates the processes of information gathering and product purchase, enabling users to achieve their goals with minimal effort. This system allows users to ensure they don't miss out on important information and can reliably obtain essential products in their fan activities.

[0599] The following describes the processing flow.

[0600] Step 1:

[0601] The user launches a dedicated application on their device, enters the name of their favorite idol or related keywords, and sends them to the server. The server receives this information and prepares to generate a search query.

[0602] Step 2:

[0603] The server sets up regular tasks and begins collecting data from external sources. Specifically, it uses SNS APIs and RSS feeds from news sites to collect information based on registered keywords. This information is stored in storage.

[0604] Step 3:

[0605] An AI agent on the server analyzes the collected data. It uses natural language processing techniques to scan the information and extract important items and news topics. Then, it scores and identifies the importance of each piece of information.

[0606] Step 4:

[0607] The server assigns scores to the filtered information based on the user's interests and selects the most relevant information. This selection is then tagged as information the user needs.

[0608] Step 5:

[0609] The server sends filtered information to the user's device via push notification, allowing the user to check the information in a timely manner on their device. The notifications include the latest news, important events, and product information.

[0610] Step 6:

[0611] The server monitors the release information of limited-edition products and executes automated purchase commands based on pre-configured conditions. Using the configured purchase information, the system proceeds with the purchase process as soon as sales begin.

[0612] Step 7:

[0613] Once the purchase is complete, the server notifies the user's device with the details and allows them to confirm the purchase's success status. The user can then check their purchase history and shipping status on their device.

[0614] (Example 1)

[0615] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0616] There is a need for a system that can efficiently collect information about specific people or products that users are interested in, and that can also quickly purchase limited-edition products. However, current methods may result in missed information or lost purchase opportunities, so these need to be reduced.

[0617] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0618] In this invention, the server includes means for users to register information related to their areas of interest using an information input device, means for a data management device to periodically patrol external information sources and automatically collect relevant data according to the registered information, and means for an analysis device to score the collected data based on key indicators and select highly relevant information. This enables users to collect information without missing anything and to quickly purchase limited-edition products.

[0619] An "information input device" is a device used to register specific information that a user is interested in.

[0620] A "data management device" is a device that periodically visits external information sources and automatically collects the necessary data.

[0621] An "analysis device" is a device that scores collected data based on key indicators and selects information accordingly.

[0622] An "external information source" refers to an information provider on the Internet from which a data management device collects information.

[0623] "Automatically collecting data" refers to the process by which a system independently collects data without specific instructions.

[0624] "Scoring" is the process of quantifying the importance of collected data.

[0625] "Highly relevant information" refers to information that is deemed to have a high degree of relevance to the information registered by the user.

[0626] "Instant notification" is a system function that allows users to receive relevant information quickly.

[0627] "Purchase processing" is the automated process for acquiring limited-edition products.

[0628] "Specific sales commencement" refers to the public commencement of the provision of a product or service.

[0629] "Natural language recognition technology" refers to the technology used by computers to understand and analyze human language.

[0630] To implement this invention, the user first registers information about their favorite person using a terminal. Specifically, they input the name of a particular person, related keywords, product categories of interest, and types of events, and then send this information to a server. The terminal used is a typical personal electronic device such as a smartphone or tablet computer. Application software for information input is also installed on the terminal. This software provides the user with an input screen and creates an interface for sending information to the server.

[0631] Next, the server starts the data collection process using the received information. This server includes a central processing unit and functions as a data management device. The server uses BeautifulSoup, a Python scraping library, and Selenium, a web browser automation tool, to collect necessary information from social media and news sites. The collected data is analyzed by natural language processing technology executed within the server. Generative AI models are used to automatically extract important keywords from the data and classify them as highly relevant information.

[0632] When the server identifies highly relevant information, it immediately notifies the user via a notification service such as Firebase Cloud Messaging. This notification feature allows users to quickly obtain the information and take the necessary actions.

[0633] Furthermore, the server monitors sales information for limited-edition products, and when a product goes on sale, it automatically processes the purchase based on pre-registered purchase information. Specifically, it uses the API of the e-commerce site to quickly complete the purchase procedure. Once the purchase is complete, a purchase completion notification is sent to the user's device.

[0634] As a concrete example of how this system can be used, users can set prompts such as "Collect and notify me of the latest news about celebrities" or "Automatically purchase specific limited-edition products when they go on sale," and receive the services they need. In this way, users can efficiently and automatically manage their information gathering and consumption behavior, making their fan activities more effective.

[0635] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0636] Step 1:

[0637] Users register information of interest in the system using a terminal. They provide information such as specific person names, related keywords, product categories, and event types as input. This information is sent to the server via dedicated application software. The server organizes the received data and stores it in a database.

[0638] Step 2:

[0639] The server periodically collects data from external sources based on a schedule. This process involves calling APIs from social media and news sites to retrieve relevant content. It uses a user-registered keyword list as input to filter the data. The filtered text data is then retrieved as output and stored as a dataset for analysis.

[0640] Step 3:

[0641] The server processes the data collected by the analysis device. It uses a generative AI model and applies natural language processing techniques to analyze the text data. Using the raw data acquired as input, it performs data processing to extract important keywords and phrases. As output, information with importance scores is generated and listed as highly relevant information.

[0642] Step 4:

[0643] The server analyzes the data and selects high-priority information for notification. This selected information is sent to the user's device via a notification service such as Firebase Cloud Messaging. The input is scored and selected information, and the output is an immediate notification to the user. This allows users to receive timely news and event information that interests them.

[0644] Step 5:

[0645] The server continuously monitors sales information for limited-edition products. When a product goes on sale, it initiates an automated purchasing process based on the user's pre-configured purchase information. It uses the e-commerce site's API to transmit the necessary product ID and payment information. Inputs are the sales start signal and pre-registered purchase data, and output is a successful purchase completion notification. This process ensures that users can reliably obtain the product.

[0646] (Application Example 1)

[0647] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0648] In this age of information overload, it is difficult for users to gather information on specific areas of interest or limited-edition products in a timely manner and to efficiently complete the purchase process. In particular, there is a need to accurately judge the importance of information and to make quick and accurate payments. This invention aims to improve user convenience by streamlining such information gathering and purchase procedures.

[0649] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0650] In this invention, the server includes means for users to register data about specific attributes and products, means for an information processing device to periodically check external data sources and collect relevant data based on the registered data, and means for completing purchases using pre-registered payment information in cooperation with a payment service. This enables users to purchase limited-edition products without missing specific information.

[0651] A "user" is an individual or group that seeks information about specific attributes or products.

[0652] "Data" refers to pre-registered information about topics and products that users are interested in.

[0653] An "information processing device" is a device that checks external data sources and collects and analyzes relevant information based on registered data.

[0654] "External data sources" refer to external sources of information from which information is obtained, such as social media, news sites, and e-commerce sites.

[0655] "Scoring importance" is the process of quantifying and judging the importance of information based on collected data.

[0656] A "payment service" is an online payment platform used to make payments when purchasing goods.

[0657] "Purchase Complete" means that the user has completed all procedures for purchasing a limited-edition product based on the purchase settings they registered in advance.

[0658] To implement this invention, it is necessary to build a system in which a user's device and a server work together. The user uses a device such as a smartphone to input data about specific attributes or products into an application. The device is responsible for transmitting that data to the server.

[0659] The server functions as an information processing device based on the data it receives. The server periodically checks social media and news sites as external data sources to collect relevant information. This process utilizes external APIs such as the Google API and Twitter API, and employs web crawling techniques to gather information.

[0660] The collected data is analyzed using natural language processing engines such as Google NLP. The analysis results in a score indicating the importance of the information, and highly relevant information is selected.

[0661] When purchasing limited-edition items, the server integrates with a payment service to automatically complete the purchase using the user's pre-registered payment information. Users can receive a purchase completion notification through their own device.

[0662] As a concrete example, if a user registers information about a specific product in the app, the server will monitor the sales information of that product in real time and automatically execute a purchase as soon as it goes on sale. An example of a prompt message to the generating AI model in this process would be: "Based on the user's registered interests, please collect relevant news from social media. Also, check the sales information for the specified product category and automatically proceed with the purchase."

[0663] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0664] Step 1:

[0665] Users input data about specific attributes or products into the application using their own devices. This input data includes names of people of interest, product categories, and event types. This data is then sent to the server via the device.

[0666] Step 2:

[0667] The server analyzes the received data and prepares to collect information from external data sources. Specifically, it sets up API calls to link with social media and news sites based on keywords entered by the user. This setting allows the process of collecting relevant information to begin.

[0668] Step 3:

[0669] The server periodically visits external data sources and analyzes the collected information using natural language processing techniques. For example, it uses Google NLP to score the importance of articles and posts containing keywords of interest. This identifies information that is likely to be of interest to the user.

[0670] Step 4:

[0671] The server selects the most important information based on the analysis results. This selected information is then sent to the user's device as a push notification based on its relevance. This allows the user to quickly receive the latest information.

[0672] Step 5:

[0673] During the purchase process for limited-edition products, the server monitors the relevant website. Upon detecting the start of product sales, it automatically completes the purchase using the payment service based on the user's pre-registered purchase settings. After the purchase is complete, the user is notified via their device.

[0674] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0675] This invention is a system that efficiently collects information about specific people or products and provides information based on the user's emotions. By combining this system with an emotion engine, it enables the selection and notification of information that takes the user's emotions into consideration.

[0676] The system begins with the user entering their favorite idol's name and related keywords on their device, which are then registered with the server. This allows the server to automatically collect relevant information from external sources based on the registered data. The collected information is analyzed using natural language processing technology and scored for importance. Furthermore, an emotion engine recognizes the user's emotional state. For example, the user's input pace, choice of options, and facial recognition camera are used to evaluate their emotional state.

[0677] The server utilizes an emotion engine to analyze the user's emotional information and re-evaluate the importance of the information accordingly. The emotion engine outputs an emotional score indicating the level of interest, and adjusts the information priority based on this score. Simultaneously, it selects an emotion-based notification method, presenting information in a way that best suits the user's emotions.

[0678] For example, if a user is interested in news related to their favorite celebrity, the server will push news notifications more quickly than usual based on their sentiment score. On the other hand, if the sentiment engine determines that the user is feeling down, it can prioritize displaying uplifting information and positive news.

[0679] Furthermore, the automatic purchase function for limited-edition items also works in conjunction with emotional information. If a user is evaluated as being particularly excited about a particular product, the emotional engine will prioritize adding that product to the automatic purchase list.

[0680] In this way, by evaluating user emotions in real time and selecting and notifying appropriate information based on those emotions, it is possible to improve the user experience and support efficient information gathering. This invention makes it possible to make user participation in the information provision and purchasing process more comfortable.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] Users register information about specific people or products through an interface on their device. This registration process includes keywords, products of high interest, and event information, which are then sent from the device to the server.

[0684] Step 2:

[0685] The server initiates a task to periodically crawl external information sources. It issues API requests to information sources such as social media and news sites, and automatically collects information that matches registered keywords.

[0686] Step 3:

[0687] The server analyzes the collected information using natural language processing technology. The analysis classifies the information's content, and each piece of information is assigned an importance score.

[0688] Step 4:

[0689] When a user operates a device, the on-device emotion engine uses sensors to detect the user's input speed and facial expression data, and evaluates the user's emotional state in real time. This evaluation result is sent to the server as an emotion score.

[0690] Step 5:

[0691] The server adjusts the importance score of the collected information based on the sentiment score. The priority of the selected information is updated to reflect the user's level of excitement, ensuring that the most relevant information is chosen.

[0692] Step 6:

[0693] Selected information is pushed from the server to the user's device. The notification is optimized according to the user's emotional state and displayed at the appropriate time and in the appropriate way (e.g., pop-up, audio notification).

[0694] Step 7:

[0695] The device uses emotion engine data to detect a high level of interest in purchasing a limited-edition item, and if this is detected, it automatically sends a purchase request to the server. The server then uses the registered purchase information to execute the purchase process as soon as sales begin.

[0696] Step 8:

[0697] Once the purchase is complete, the server sends a purchase confirmation notification to the user's device and displays detailed information. The user can then check their purchase history and delivery status on their device.

[0698] (Example 2)

[0699] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0700] In today's world, where information is becoming increasingly diverse and vast, it is difficult to efficiently collect only the information users want and to select and provide that information according to their individual emotional state. Furthermore, it is not easy to actively purchase limited-edition products without missing sales opportunities, and there is a problem in that information is not being provided in a way that suits the user's emotions.

[0701] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0702] In this invention, the server includes means for a user to register information about specific items, means for an information processing device to verify external information sources and collect data based on the registered information, and means for an emotion analysis device to evaluate the user's emotional state and adjust the priority of information. This enables efficient information collection and provision in accordance with the user's emotions, as well as emotion-based automated purchasing.

[0703] A "user" is defined as an entity that uses the system's functions to input and register information related to specific items.

[0704] An "information processing device" is a device that collects data from external sources, analyzes it, and quantifies its importance.

[0705] "Natural language processing technology" is a technique used to analyze collected text data and understand its meaning and importance.

[0706] An "emotion analysis device" is a device that evaluates the user's emotional state based on their input and actions, and adjusts the priority of information accordingly.

[0707] An "emotion score" is an index that quantifies a user's emotional state and serves as a criterion for adjusting the priority of information provision.

[0708] "Automated purchasing" is a process that automatically executes the purchase of products selected based on the user's emotional state.

[0709] "External information sources" refer to a variety of data sources available on the internet, including news articles and social media posts.

[0710] This invention is a system that collects specific information and provides information and performs automated purchasing based on the user's emotional state. Specific embodiments are shown below.

[0711] Users first use a terminal to enter the names of items they are interested in and related keywords. This information is then registered on the server as recommendations and potential purchase items.

[0712] The server crawls external information sources on the internet based on registered keywords. Web crawling techniques are used to efficiently collect data. Specifically, common software frameworks (e.g., Scrapy) and APIs (e.g., SNS APIs) are employed.

[0713] The collected data is analyzed on the server using natural language processing techniques. Tools such as the Google Cloud Natural Language API and spaCy are crucial in this step, as they score the importance of the information.

[0714] Next, the device evaluates the user's emotional state. This evaluation uses emotion analysis software, which infers the emotional state from the speed and patterns of input. Other hardware, such as facial recognition cameras, may also be used. Based on this information, the server calculates an emotion score and adjusts the priority of the information.

[0715] Ultimately, the server provides the user with tailored information. Here, push notifications or email notifications are selected based on the user's emotions.

[0716] As a concrete example, suppose a user registers information about their "favorite" and enters a prompt saying, "Please tell me the latest news. I'd also appreciate some uplifting information." Based on this prompt, the server prioritizes collecting the latest relevant news and provides the information in the most appropriate format according to the user's emotional state.

[0717] This system selects information according to the individual needs of users and provides an emotion-based purchasing experience, thereby achieving efficient and personalized information delivery.

[0718] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0719] Step 1:

[0720] Users use a device to enter and register information about items of interest. This input may include the names of specific people or keywords related to products. This registration information is sent to the server and forms the basis for subsequent data collection.

[0721] Step 2:

[0722] The server collects data from external sources. Based on registered keywords, it uses web crawling technology to retrieve relevant information from news sites and social media. Technologies used include API access and web crawlers (e.g., Scrapy). The input for this step is keywords entered by the user, and the output is the raw text data associated with those keywords.

[0723] Step 3:

[0724] The server analyzes the collected data. Natural language processing techniques are used to analyze the text data and quantify the importance of the information. Specifically, the Google Cloud Natural Language API is used to calculate the importance score. The input is the collected text data, and the output is information with an importance-based score.

[0725] Step 4:

[0726] The terminal evaluates the user's emotional state. The user's input method and reaction speed are observed, and an emotion analysis device analyzes the emotional state. In some cases, a facial recognition camera may be used as additional hardware. The resulting emotional data is sent to a server. The input is user behavior data, and the output is the analyzed emotional state.

[0727] Step 5:

[0728] The server adjusts importance scores based on the sentiment score. The sentiment state and importance score are integrated, and the information best suited to the user's current emotions is selected. Information priorities are reset according to the sentiment score. The input is the sentiment score obtained from sentiment analysis, and the output is the adjusted, prioritized information.

[0729] Step 6:

[0730] The server notifies the user of information. The appropriate notification method, such as push notifications or email, is selected based on the user's emotional state, and filtered information is provided. Furthermore, if a high excitement score is detected, products are added to the automated purchase list. The input is prioritized information, and the output is the information notified to the user and the automated purchase mechanism.

[0731] (Application Example 2)

[0732] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0733] E-commerce sites face challenges in providing information tailored to users' emotional states and automating the purchasing process, resulting in limited improvements to the user experience. Furthermore, it's difficult to quickly and accurately provide users with the latest information on items and products they are interested in. Improving user satisfaction requires information presentation that takes emotional states into account and automated purchasing processes.

[0734] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0735] In this invention, the server includes means for users to register information about specific objects or products, means for an information processing device to periodically check external information sources and collect relevant information based on the registered information, and means for an emotion engine to analyze the user's emotional state and adjust the information display and notification methods. This makes it possible to present information and automate purchasing in accordance with the user's emotional state.

[0736] A "user" is a typical user who uses the system to obtain and register information about specific subjects or products.

[0737] "Target" refers to a person, product, or piece of information that evokes a specific interest or concern.

[0738] "Products" refer to a general term for goods and services available in markets or on online platforms.

[0739] An "information processing device" refers to a computer system or server used for collecting, analyzing, and filtering data.

[0740] "External information sources" refer to external sources of information on the internet, such as websites, databases, and news feeds, that provide information related to the subject or product.

[0741] An "emotion engine" refers to algorithms and technologies used to analyze a user's emotional state, making it possible to evaluate the user's emotional response.

[0742] "Information display and notification methods" refer to the techniques and designs used to present collected relevant information to users.

[0743] "Purchase automation" refers to the process of automatically executing product purchases based on the user's purchasing intent and emotional state.

[0744] In this application example, users input information about specific objects or products using a device such as a smartphone and register it in the system. The system uses a server as an information processing device and periodically checks external information sources to collect relevant information based on the registered information. The hardware used includes a smartphone, server, and facial recognition camera.

[0745] The collected information is analyzed using natural language processing technology, and an importance score is calculated. Furthermore, the emotion engine uses information obtained from the facial recognition camera and input data to analyze the user's emotional state. The emotion engine uses algorithms to generate an emotion score from the user's facial expressions, input timing, and selected items.

[0746] The server re-evaluates the importance of information based on sentiment scores and notifies the user of the selected information. The notification method is adjusted to the user's emotional state, emphasizing positive information and sending push notifications at the optimal time. For example, if a user shows high excitement for a particular product, it will be added to the automated purchase list according to certain rules, automating the purchasing process.

[0747] As a concrete example, if a user is looking for a new smartphone and their level of excitement is detected to be particularly high, they will receive priority push notifications about the latest models and promotions. An example of a prompt message using a generative AI model to explain a situation with a high sentiment score would be: "Based on the keyword 'new smartphone,' we detected a high purchase intent from the user's smile. Please send recommended products and promotion information to the user as a push notification."

[0748] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0749] Step 1:

[0750] The user enters information about a specific subject or product into a terminal and registers it in the system. In this step, the user enters the product name or keywords of interest using an interface such as a smartphone. The entered data is sent to the server and registered as basic data for the next processing step.

[0751] Step 2:

[0752] The server periodically checks external information sources and collects relevant information based on registered information. In this process, the server uses crawling techniques to scan databases and news feeds on the internet. The collected information is structured through syntactic analysis and used for subsequent analysis. The input is registered information, and the output is a dataset of related information.

[0753] Step 3:

[0754] The server uses natural language processing techniques to analyze the collected information and score its importance. In this step, the collected information set is analyzed using text analysis to evaluate the relevance and importance of the information. Relevant information is used as input data, and the importance score for each piece of information is obtained as output.

[0755] Step 4:

[0756] The device uses an emotion engine to analyze the user's emotional state. It collects data in real time from a facial recognition camera and the user's input actions to generate an emotion score. The input uses the user's facial expression data and input tempo, and the output is the user's emotion score.

[0757] Step 5:

[0758] The server integrates sentiment scores and information importance scores to determine notification priority. Here, information ranking is adjusted based on sentiment scores, enabling presentation in the most appropriate format. Input includes sentiment scores and information importance scores, while output is a list of information to be presented.

[0759] Step 6:

[0760] The server notifies the user's device of the selected information. In this step, particularly important information is provided to the user as a push notification. The information is presented in a way that suits the user's emotional state, maximizing their interest and engagement.

[0761] Step 7:

[0762] The server monitors sales information for limited-edition products and automates the purchase process. Here, if the emotion engine determines that the user has a high purchase intent, it automatically adds the product to the purchase list and executes the necessary procedures. Inputs include emotion status and product information, while outputs include updating the purchase list and initiating the purchase process.

[0763] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0764] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0765] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0766] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0767] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0768] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0769] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0770] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0771] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0772] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0773] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0774] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0775] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0776] 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.

[0777] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0778] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0779] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0780] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0781] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0782] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0783] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0784] The following is further disclosed regarding the embodiments described above.

[0785] (Claim 1)

[0786] A means for users to register information about specific people or products,

[0787] The information processing device periodically checks external information sources and collects relevant information based on registered information,

[0788] A method for analyzing collected information, scoring its importance, and selecting highly relevant information,

[0789] A means of notifying users of the selected information,

[0790] A means of monitoring sales information for limited-edition products and automatically making purchases based on purchase settings registered by users in advance,

[0791] A system that includes this.

[0792] (Claim 2)

[0793] The system according to claim 1, wherein the information processing device detects the start of limited sales for a specific person or product and automatically proceeds with the purchase procedure.

[0794] (Claim 3)

[0795] The system according to claim 1, which analyzes collected information using natural language processing technology and determines its importance.

[0796] "Example 1"

[0797] (Claim 1)

[0798] A means for users to register information related to their areas of interest using an information input device,

[0799] A data management device periodically patrols external information sources and automatically collects relevant data according to registered information.

[0800] A means of selecting highly relevant information by scoring the collected data based on key indicators using an analysis device,

[0801] A means of immediately notifying the user of the selected information,

[0802] A means of monitoring sales information, including limited-edition products, and automatically processing purchases according to the user's pre-configured settings,

[0803] A system that includes this.

[0804] (Claim 2)

[0805] The system according to claim 1, in which a data management device detects the start of sales of specific items of interest or products and automatically performs the purchasing procedure.

[0806] (Claim 3)

[0807] The system according to claim 1, which uses natural language recognition technology to analyze data collected by an analysis device and identifies its importance.

[0808] "Application Example 1"

[0809] (Claim 1)

[0810] A means for users to register data about specific attributes or products,

[0811] The information processing device periodically checks external data sources and collects relevant data based on registered data,

[0812] A method for analyzing collected data, scoring its importance, and selecting highly relevant data,

[0813] A means of notifying users of the selected data,

[0814] A means of monitoring sales data for limited-edition products and automatically making purchases based on purchase settings registered by users in advance,

[0815] By integrating with payment services, a means of completing purchases using pre-registered payment information is provided.

[0816] A system that includes this.

[0817] (Claim 2)

[0818] The system according to claim 1, wherein the information processing device detects the start of limited sales of specific attributes or products, automatically proceeds with the purchase procedure, and notifies the user after the purchase is completed.

[0819] (Claim 3)

[0820] The system according to claim 1, which analyzes collected data using natural language processing technology, determines its importance, and generates and provides suggestions to the user based on the important data.

[0821] "Example 2 of combining an emotion engine"

[0822] (Claim 1)

[0823] A means for users to register information about specific items,

[0824] The information processing device has means for verifying external information sources and collecting data based on registered information,

[0825] A method for analyzing collected data using natural language processing technology, quantifying its importance, and selecting accordingly.

[0826] An emotion analysis device evaluates the user's emotional state and provides a means to adjust the priority of information,

[0827] A means of notifying users of the adjusted information and presenting it in an appropriate format,

[0828] A means of monitoring sales information for specific products and performing automated purchases based on the user's emotional state,

[0829] A system that includes this.

[0830] (Claim 2)

[0831] The system according to claim 1, wherein the information processing device detects the limited sale of a specific item and automatically proceeds with the purchase procedure based on the sentiment score.

[0832] (Claim 3)

[0833] The system according to claim 1, wherein the emotion analysis device adjusts the method of displaying information based on the user's emotion score.

[0834] "Application example 2 when combining with an emotional engine"

[0835] (Claim 1)

[0836] A means for users to register information about specific subjects or products,

[0837] The information processing device periodically checks external information sources and collects relevant information based on registered information,

[0838] A method for analyzing collected information, scoring its importance, and selecting highly relevant information,

[0839] A means of analyzing the user's emotional state using an emotion engine and adjusting the display and notification methods of information,

[0840] A means of notifying users of selected information and presenting the most appropriate information according to their emotional state,

[0841] A means of monitoring sales information for limited-edition products and automatically making purchases based on the user's pre-registered purchase settings and emotional state,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, wherein the information processing device detects the start of limited sales of a specific target or product and automatically proceeds with the purchase procedure based on the sentiment analysis results of the sentiment engine.

[0845] (Claim 3)

[0846] The system according to claim 1, which analyzes collected information using natural language processing technology and further determines its importance using an emotion engine. [Explanation of symbols]

[0847] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to register information about specific people or products, The information processing device periodically checks external information sources and collects relevant information based on registered information, A method for analyzing collected information, scoring its importance, and selecting highly relevant information, A means of notifying users of the selected information, A means of monitoring sales information for limited-edition products and automatically making purchases based on purchase settings registered by users in advance, A system that includes this.

2. The system according to claim 1, wherein the information processing device detects the start of limited sales for a specific person or product and automatically proceeds with the purchase procedure.

3. The system according to claim 1, which analyzes collected information using natural language processing technology and determines its importance.

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