Integrated Digital Society AI Platform

Abstract

We provide an information delivery system that integrates virtual space, payment, asset management, advertising optimization, and decision support to optimize the user experience through artificial intelligence, personalization, data curation, interactive UI, advertising optimization, and virtual space. [Solution] A system that provides a comprehensive and interactive user experience, aiming to improve the user experience through efficient and reliable information provision, by: 1. collecting and analyzing data from user input, behavioral data, environmental data, or device sensors; 2. generating personalized decision support information based on the collected data; 3. providing information in real time in a virtual space (metaverse) or augmented reality (AR) environment; and 4. dynamically optimizing information and advertisements using a distributed network or centralized system to improve the user experience.

Description

Technical Field

[0001] The present invention relates to an information provision system using artificial intelligence (AI), and particularly to a technology for realizing personalized decision-making support and advertisement optimization based on user behavior data, psychological state, and environmental data. It also relates to ensuring the authenticity and improving the transparency of information by utilizing virtual space (metaverse), augmented reality (AR), and distributed technologies (such as blockchain, blockdag). Additionally, it relates to a technology for applying quantum-resistant technology to a distributed ledger system (e.g., blockchain, blockdag) to reduce the risk of cryptographic decryption by a quantum computer.

Background Art

[0002] In recent years, with the development of artificial intelligence (AI) and virtual space (metaverse) technologies, digital information provision systems are increasingly required to be personalized according to individual needs. However, the following problems exist in conventional systems. In recent years, a platform integrating multiple services (e.g., SNS, payment, advertising, search engine) has attracted attention as a super app, and the present invention provides an integrated service infrastructure to technically support this.

[0003] The present invention is based on the technology according to Japanese Patent Application No. 2024-233308, and provides new convenience and functionality. It expands the concept of a system that integrates "payment + (distributed transaction processing system) + an organization providing an asset exchange function + tax processing", and proposes a next-generation technology that realizes advertisement optimization and information provision in a metaverse environment based on a personalized AI search engine.

[0004] 1. Data Fragmentation: User behavioral data and environmental data cannot be collected and analyzed in a unified manner, making it difficult to provide information based on individual behavioral patterns. 2. Lack of Information Transparency and Reliability: Mechanisms for presenting the reliability of advertisements and provided information to users are insufficient, and opaque data processing is a cause for concern. 3. Lack of Emotion-Based Information Provision: Conventional information provision systems cannot provide decision-making support that dynamically utilizes users' psychological states and emotional data. 4. Immature Advertising Optimization in Virtual Space (Metaverse): Advertising optimization within virtual space (metaverse) is limited, and dynamic advertising generation based on user behavior and psychology has not been realized. This invention is proposed to solve these problems.

[0005] Traditional distributed ledger systems (e.g., blockchain, block tags) rely on public-key cryptography, and advancements in quantum computing have raised concerns about the risk of these cryptographic techniques being broken. The threat of decryption is particularly pronounced when distributed ledgers use public-key cryptography for verifying transactions and contracts. [Overview of the project] [Problems that the invention aims to solve]

[0006] The problems that this invention aims to solve are as follows: 1. Lack of personalization due to data fragmentation: To enable the provision of personalized information based on individual behavioral patterns by centrally utilizing user behavioral data and environmental data. 2. Improving the reliability of information: To provide a mechanism that guarantees the transparency and authenticity of the information and advertising data provided by using decentralized technology.

[0007] 3. Decision support utilizing emotional data: Dynamically analyzes users' psychological states and emotional data and generates appropriate decision support information based on them. 4. Advertising optimization in virtual space: Provides technology to generate and display dynamically customized advertisements in a virtual space (metaverse) based on each user's behavior and psychological state. As a core foundational technology for a multi-functional digital ecosystem, this invention integrates virtual space, payment, asset management, advertising optimization, and decision support as an integrated platform that centrally meets various user needs, aiming to optimize the user experience and realize a next-generation digital information provision system by solving these challenges.

[0008] One factor hindering the user experience is the fragmentation of multiple individual services. This invention proposes foundational technologies to enable this integration and provide a seamless experience. Furthermore, by incorporating quantum computer-resistant cryptographic algorithms into distributed ledger systems (e.g., blockchain, block tags), the aim is to reduce security threats from quantum computers and improve the security and reliability of distributed ledger networks. [Means for solving the problem]

[0009] Search engines, artificial intelligence (AI) analytics modules, personalization, data curation, and ad optimization. 、 An integrated information processing system that includes user behavior data analysis, payment, asset exchange, tax processing support, learning models, and integrated management and operation, wherein the system acquires user input data in real time, consisting of search history, click history, browsing history, location information, purchase history, psychological state, emotional data obtained from the user, input operations based on decision support, actions in AR / VR space, and sensor information from smart devices. The aforementioned search history, click history, browsing history, location information, purchase history, psychological state, emotional data obtained from the user, and input operations based on decision support, This consists of actions within the AR / VR space, as well as sensor information from smart devices. User input data is analyzed using artificial intelligence (AI). By doing , user interest or The intention that means purpose Estimate death, Estimate An information processing system characterized by the following:, in accordance with the user's intent, artificial intelligence (AI) generates decision support information, advertising creatives, product information, and personalized information, presents these in a virtual space (metaverse), augmented reality (AR) environment, wearable device, or interactive UI on a smartphone, executes payment for the user's selected product, service, or content using cryptocurrency or fiat currency, and in the settlement process, asset exchange automatically executes the asset exchange automatically in real time in conjunction with an exchange platform connected to a blockchain network or distributed ledger system, or an asset exchange interface accessible via an external API, to obtain the optimal exchange rate for the currency / asset pair specified by the user, and based on the transaction data, tax processing support automatically calculates the tax amount in real time based on the user's transaction data in accordance with different tax laws in each region, electronically generates and stores a tax return, and sends it directly to the tax authorities as needed, and manages and operates the entire process in an integrated manner, with each component unit encrypted and recorded in history, which the artificial intelligence (AI) uses as learning data to optimize personalization, advertising delivery, and decision support in the future.

[0010] The information processing system according to claim 1, wherein the advertising optimization function includes a function to predict purchases based on the user's purchase history and real-time behavioral data, analyze information from facial recognition and voice tone analysis which constitute the user's emotional data, and customize advertisements according to the emotional data identified by the results of the analysis.

[0011] The information processing system according to claim 1, wherein the advertising optimization is characterized by collecting behavioral data such as the user's browsing history, purchase history, search keywords, and location information, using the data to analyze the behavioral data to identify products or services that the user is likely to be interested in next, and based on the results of the analysis, automatically generating advertising creatives related to the relevant products or services and delivering them to the user's terminal.

[0012] The information processing system according to claim 3, characterized in that the generation and distribution of advertising creatives are dynamically updated based on real-time response data from users.

[0013] The information processing system according to claim 3, characterized in that the user behavior data includes click history, purchase history, browsing history, and location information.

[0014] The information processing system according to claim 1, wherein the tax processing support is characterized by automatically calculating the tax amount based on the user's transaction data and automatically generating tax return documents.

[0015] The information processing system according to claim 6, wherein the transaction data includes data relating to cryptocurrency transactions, e-commerce and financial transactions.

[0016] The information processing system according to claim 6, characterized in that the calculation of the tax amount is performed dynamically in accordance with different tax laws for each region.

[0017] Claim 1 Information processing systemIn this case, the distributed ledger technology used in the asset exchange or settlement is characterized in that it implements a quantum-resistant cryptographic algorithm consisting of lattice-based cryptography, hash-based signatures, code-based cryptography, or multi-variant cryptography.

[0018] In the information processing system according to claim 9, the quantum-resistant cryptographic algorithm This is an information processing system characterized by its application to data verification and recording to a distributed ledger in the execution of smart contracts.

Advantages of the Invention

[0019] The present invention is designed to complement Application No.: Japanese Patent Application No. 2024-233308, and realizes advanced personalization based on user behavior data and environmental data, and dynamic advertisement optimization in the virtual space (metaverse). As a result, it becomes possible to operate integrally with the digital economic infrastructure aimed at by Application No.: Japanese Patent Application No. 2024-233308, and new values in the information provision and advertising fields are created.

[0020] The present invention can achieve the following effects. 1. Improvement of user experience: By analyzing user input, behavior data, psychological state, and environmental data in real time and generating personalized decision-making support information, it becomes possible to provide information optimized for individual needs. As a result, users can obtain the necessary information quickly and accurately, and it is expected that the satisfaction will be significantly improved. 2. Improvement of information transparency and reliability: By utilizing distributed technologies (such as blockchain technology, blockdag technology, etc.) and other security technologies, the authenticity of the provided information and advertising data can be guaranteed, and the transparency can be visualized in real time. As a result, it becomes possible to provide a highly reliable information environment for users.

[0021] 3. Realization of Dynamic Advertising Optimization: The present invention provides a technology for dynamically optimizing advertisement content based on users' real-time behavior data and psychological states in the distribution of advertisements. This maximizes the advertising effect and high achievements can be expected for advertisers. 4. Enhancement of Interactive Experience in Virtual Space: By enabling interactive information presentation in virtual spaces (metaverses) and augmented reality (AR), users can not only receive decision-making support within the virtual space but also enjoy an intuitive and immersive experience.

[0022] 5. Efficient Resource Management and Scalability: By leveraging cloud computing and edge computing technologies, efficient resource allocation is achieved while maintaining high scalability even when a large number of users use the system simultaneously. 6. Application Possibility in Diverse Fields: The present invention can be utilized as a basic technology for realizing individually optimized information provision and decision-making support in diverse business fields such as medical, finance, education, and advertising. In particular, even in fields where compliance requirements are demanded, it can be addressed by dynamically applying advanced security protocols.

[0023] 7. Improvement of Business Value: By simultaneously realizing an improvement in user experience, maximization of advertising effects, and ensuring the reliability of information, the competitive advantage for enterprises is enhanced and the value as a business model is significantly improved. As described above, the present invention brings great benefits to users, information providers, and advertisers and has the potential to become a core technology for next-generation information provision systems. With the present invention, users can obtain a complete experience within an integrated ecosystem without being aware of operations or data exchanges between different services.

[0024] Note that although the present invention recommends using distributed databases (such as blockchain technology and blockdag technology), it is not limited thereto. Even when using a centralized database or an existing system configuration, functions for ensuring the authenticity and preventing tampering of information can be applied.

[0025] Ad optimization technology leverages user behavior data to enable more effective ad delivery. This technology improves ad reach, simultaneously reducing operational costs and increasing engagement. Tax processing automation technology enables immediate processing of transaction data, reducing the burden of manual administrative work. This technology improves the accuracy of tax filings and contributes to strengthening corporate compliance. [Brief explanation of the drawing] [Figure 1] This shows the overall system flow. [Figure 2] This shows the data processing flow (details of the AI ​​personalization process). [Figure 3] This shows the user experience (UE) flow. [Figure 4] Application example: This shows the overall flow on an e-commerce site. [Figure 5] Application example: This shows the overall flow in digital asset settlement. [Figure 6] Application example: This shows the overall flow in a virtual space (metaverse). [Figure 7] This shows the overall flow of the advertising optimization process. [Figure 8] This shows the database and reliability assurance flow. [Figure 9] :This shows a concrete example of data flow through external integration. [Figure 10] This shows a specific example of data flow through external integration (example 2). [Figure 11] :This shows a specific example of data flow through external integration (example 3). [Figure 12] Application example: This demonstrates the flow of integrated entertainment in a virtual space (metaverse) platform. [Figure 13] :Multi-environment compatible integrated platform system: Demonstrates data management and resource recycling. [Figure 14] This shows the overall system integration diagram. [Figure 15] This shows an overall diagram of the integrated service platform. [Modes for carrying out the invention]

[0026] The overall system configuration of the present invention is shown in [Figure 1], illustrating the overall flow and the operation of the main components. Details of the data processing flow (AI personalization process) are described in [Figure 2], and the specific flow of the user experience (UE) operates based on [Figure 3]. As application examples, the implementation flow on an e-commerce site is shown in [Figure 4], the operation flow in digital asset payment is shown in [Figure 5], and the operation flow in a virtual space (metaverse) is shown in [Figure 6].

[0027] The overall operation of the advertising optimization process is illustrated in [Figure 7], and the database and reliability assurance flows are detailed in [Figure 8]. Specific examples of integration flows with external systems are illustrated in [Figure 9], [Figure 10], and [Figure 11], respectively, demonstrating the flexibility and scalability of the present invention.

[0028] Furthermore, the flow of integrated entertainment in the virtual space (metaverse) platform is shown in [Figure 12], and the multi-environment compatible integrated infrastructure system: data management and resource circulation is shown in [Figure 13]. The overall system integration diagram is shown in [Figure 14]. In addition, the overall configuration of the integrated service infrastructure is explained in [Figure 15]. Based on these diagrams, it is shown that the present invention can accommodate a variety of use cases and is a system that functions in both decentralized and centralized forms.

[0029] The information provision system according to the present invention is implemented in the following form: 1. Implementation of data collection and analysis modules: This system includes modules that collect user input data, behavioral data, environmental data, and data from device sensors. The collected data is processed by an analysis module utilizing artificial intelligence (AI) to generate decision support information adapted to individual users.

[0030] 2. Integration of Decentralized Security Technologies: Decentralized databases and blockchain technologies will be applied to ensure the authenticity and tamper-proofing of information. This technology will guarantee transparency of information and make the system more reliable for users. 3. Implementation of Virtual Space and Interactive UI: A user interface (U / I) that operates in a virtual space (metaverse) and augmented reality (AR) will be incorporated. This will allow users to access information through intuitive operation and interactive experiences.

[0031] 4. Introduction of an advertising optimization engine: An engine is integrated that dynamically generates and delivers advertising content based on users' real-time behavioral data, psychological state, and purchase history. This engine optimizes advertising effectiveness in real time using a learning model. It is equipped with foundational technology that enables the provision of comprehensive services within the virtual space (metaverse). The following application scenarios can be considered as specific examples: · Advertising optimization in a virtual shopping mall: Based on product displays in the virtual space (metaverse), user interests and purchase history are analyzed to personalize advertisements in real time. · Personalization of learning content in the education sector: In the learning environment provided in the virtual space (metaverse), optimal teaching materials and interactive content are suggested based on the user's progress and learning data. · Price forecasting and decision support in a virtual real estate market: Transaction data of land and properties in the virtual space (metaverse) is analyzed to provide price forecasts and optimal purchase timing.

[0032] 5. Leveraging Cloud and Edge Computing: Cloud computing and edge computing are utilized to achieve large-scale data processing and system scalability. [Examples]

[0033] 1. Personalized Information Provision: When a user searches for health-related information, the system provides information in the following steps: First, it analyzes the user's past search history to identify health topics they have previously been interested in (e.g., carbohydrate restriction, strength training plans, etc.). Simultaneously, it collects current health data (heart rate, steps, calorie consumption, etc.) obtained from wearable devices in real time. Furthermore, it acquires the user's environmental data (ambient temperature, humidity, atmospheric pressure, etc.) through sensors and analyzes this data comprehensively. For example, if a user has previously searched for "low-calorie food" and the current environment is a hot summer day, recipes for cold low-calorie foods and smoothies will be suggested. In addition, advertisements for related health products (e.g., protein powder, sports drinks) will also be presented.

[0034] 2. Advertising Optimization within the Metaverse: When a user logs into a virtual shopping mall within the metaverse, the system optimizes advertisements using the following steps. First, it collects the user's purchase history and analyzes which product categories the user is most interested in. It also analyzes the user's psychological state in real time, determining that a relaxed state with less stress increases the user's willingness to purchase. Based on this data, advertisements for products that the user is interested in are placed within the metaverse. For example, if a user has purchased many sports goods in the past, advertisements for the latest running shoes will be displayed on digital billboards within the shopping mall and along the side of the path the user is walking. The advertisements are dynamically customized to interest the user and are designed to psychologically encourage purchases.

[0035] 3. Improved Reliability through Distributed Databases: In a platform providing financial information, this system improves the reliability of information by utilizing a distributed database. Specifically, when data such as stock price information and financial news is collected, its contents are immediately recorded in a distributed network. This prevents malicious tampering and data concealment. In addition, the reliability of information is evaluated in real time and provided to users in a highly transparent manner. For example, when checking news about a particular stock, the reliability score of the news source is displayed simultaneously. Based on this score, users can easily determine which information to trust and use to make decisions. Furthermore, when users check their own transaction history, tamper-proof functions are in place to ensure that the transaction data is absolutely correct.

[0036] 4. Application in the Educational Field: When this system is integrated into an online learning platform used by learners, it analyzes learners' progress data, accuracy rates, and time allocation to suggest the most suitable next learning content. For example, if a user has difficulty with a particular area of ​​mathematics, it will suggest basic problems and video materials related to that area. Furthermore, it is possible to interactively experience learning content in a virtual space (metaverse), significantly improving learning efficiency.

[0037] 5. Example of ad optimization engine usage: After a user makes a purchase on an e-commerce site, this system generates highly relevant ads based on the user's purchase history and related product browsing history. For example, it may suggest accessories or complementary products related to electronic devices previously purchased. It also analyzes the user's emotional data and maximizes ad effectiveness by delivering ads when the user is relaxed.

[0038] 6. Information curation and optimized search results provided by conversational AI: Traditional search engines required users to enter keywords and select information themselves. This system uses conversational AI to significantly optimize the process from search to suggestions. The following are specific examples.

[0039] 1. Entering a search request: The user asks a question to the conversational AI verbally or in text. For example, "Please recommend accommodations suitable for a weekend getaway." 2. Curation process: The conversational AI analyzes the user's request and integrates the following data: • Past search history and behavioral data • User's current location information (e.g., considering regional travel constraints) • User's budget and personal preferences (e.g., luxury hotel or budget accommodation) • Local climate and event information 3. Presentation of optimized search results: Based on the collected information, the AI ​​curates multiple accommodation options. In this process, it prioritizes and evaluates factors such as facility reviews, cost-effectiveness, and location. Furthermore, it lists the results best suited to the user's criteria and displays them in a visually easy-to-understand format (e.g., comparison table or ranking format).

[0040] 4. Implementation of interactive suggestions: Based on the search results, the AI ​​will make additional suggestions. For example: "This accommodation is currently 30% off." "Shall I show you information on nearby attractions?" "Would you like to see some lower-budget options with similar conditions?" As users interact with the AI, the search results become even more customized.

[0041] Key Features: Real-time suggestion updates: When a user changes their desired conditions (e.g., "I want a place with a hot spring"), the AI ​​instantly presents search results that reflect the new conditions. Decision support function: In addition to accommodation data, the AI ​​infers the user's preferences from their past accommodation experiences and review posting history to help them make a selection.

[0042] As an example of a centralized system, it can be applied not only to distributed networks but also to centralized systems. Examples are given below: 1. Data collection and analysis: A cloud-based system collects and analyzes product information and user behavior data. 2. Ad optimization: Advertisements are delivered based on user attributes based on the analysis results. 3. Transaction processing: Purchase requests are processed on a central server to ensure secure transactions.

[0043] Examples of AI utilization in advertising optimization include: 1. Data collection: Includes a data collection module that comprehensively collects user browsing history, purchase history, geographical data, and search keywords. The collected data is stored in real time on a central server or distributed database. 2. AI analysis: The data analysis module utilizes the following algorithms: · Purchase pattern analysis: Predicts products that users are likely to purchase next based on their past purchase trends. · Real-time context analysis: Estimates recent interests based on current website browsing status and click data. · Clustering: Identifies target groups based on user preferences and selects effective advertisements.

[0044] 3. Ad Creative Selection: Based on the analysis results, the recommendation engine dynamically selects the most suitable ad. Example: If a user searches for "outdoor goods," ads for related backpacks and camping gear will be displayed. 4. Ad Delivery: Ads are delivered at the optimal time and in the optimal format based on the user's device and location (GPS data). Ad display results (click-through rate, conversion rate) are tracked in real time. 5. Feedback Loop: Delivery results (click-through rate, engagement data) are immediately fed back to the AI ​​model. The model learns from this and reflects it in the ad selection algorithm for future campaigns. Example: The wording and images of ad creatives with low click-through rates are automatically adjusted. 6. Continuous Learning and Improvement: Based on delivery data, the AI ​​continues to learn and improves ad effectiveness over time.

[0045] As an example of real-time calculation in tax processing, 1. Transaction data processing: Every time a user makes a transaction, the transaction details (purchased goods, price, tax rate) are sent to the system in real time. Based on this data, the system immediately calculates the tax amount and generates preliminary tax return information. 2. Automated tax filing: The generated tax data is stored in the system as a tax return and sent directly to the tax authorities as needed. This automation reduces the burden on the user.

[0046] We designed a system that constructs a distributed ledger network (e.g., blockchain, block tags) using lattice-based cryptography and performs data verification between nodes using quantum-resistant algorithms. In this system, quantum-resistant signatures are also used in the smart contract deployment and execution processes.

[0047] In this way, by utilizing this system, users can efficiently obtain results that match their intent compared to conventional keyword-based search engines. When a user purchases a product in the virtual space (metaverse), related products are suggested based on the purchase history, and a system is provided that handles payment and tax calculations simultaneously. These new search methods reduce the burden of selecting information and significantly improve the user experience. [Industrial applicability]

[0048] This invention is not limited to a single field, but can be applied to a diverse range of fields, including advertising, finance, healthcare, education, energy management, transportation, and smart cities, as a foundational technology for a platform that enables the integrated operation of multiple services and fields. 1. Advertising industry: Through dynamic ad optimization, it improves the accuracy and effectiveness of targeted advertising, bringing significant benefits to advertisers and platform providers. 2. Healthcare and medical fields: It provides decision support based on individual health data, enabling the development of new services in patient care and preventive medicine.

[0049] 3. Virtual Space (Metaverse) and AR / VR Fields: Providing personalized information and optimized advertising on metaverse and AR / VR platforms to deliver new entertainment and commercial experiences. 4. Finance and Securities Industry: Enhancing the quality of financial services by utilizing decentralized technologies to provide reliable and transparent information and decision support. 5. Education and Learning Fields: Aiming to improve learning effectiveness by providing learning materials and information optimized for each learner. 6. Energy Management: Functioning as a system that analyzes energy consumption data and proposes efficient consumption plans.

[0050] 7. Transportation Sector: It integrates real-time traffic data to support optimal route guidance and public transportation operation management. 8. Smart Cities: It can be used as an infrastructure foundation to centralize data across the entire city and improve the efficiency of residents' lives. As described above, this invention has applicability in a wide range of industrial fields as a next-generation information provision system and is expected to have a significant impact on society.

Claims

1. An integrated information processing system comprising a search engine, an artificial intelligence (AI) analysis module, personalization, data curation, advertising optimization, user behavior data analysis, payment, asset exchange, tax processing support, learning models, and integrated management and operation, wherein the system acquires user input data in real time, consisting of search history, click history, browsing history, location information, purchase history, psychological state, emotional data obtained from the user, input operations based on decision support, actions in AR / VR space, and sensor information from smart devices, and analyzes the user input data consisting of search history, click history, browsing history, location information, purchase history, psychological state, emotional data obtained from the user, input operations based on decision support, actions in AR / VR space, and sensor information from smart devices using artificial intelligence (AI) to estimate the user's intentions, which represent the user's interests and objectives, and according to the estimated intentions, the artificial intelligence (AI) generates decision support information, advertising creatives, product information, and personalized information, and these An information processing system characterized by the following: presenting products, services, or content selected by the user in a virtual space (metaverse), an augmented reality (AR) environment, or an interactive UI on a wearable device or smartphone; executing payments using crypto assets or fiat currency for such selected products, services, or content; during the settlement process, asset exchange automatically performs the exchange in real time in conjunction with an exchange platform connected to a blockchain network or a distributed ledger system, or an asset exchange interface accessible via an external API, to obtain the optimal exchange rate for the currency / asset pair specified by the user; tax processing support automatically calculates the tax amount in real time based on the user's transaction data in accordance with different tax laws in each region; electronically generating and storing tax returns; and sending them directly to tax authorities as needed; and by comprehensively managing and operating the entire process, the history of the encrypted processing for each component unit is used by artificial intelligence (AI) as learning data to optimize personalization, advertising delivery, and decision support in the future.

2. The information processing system according to Claim 1, wherein the advertising optimization function includes a function to predict purchases based on the user's purchase history and real-time behavioral data, analyze information from facial recognition and voice tone analysis which constitute the user's emotional data, and customize advertisements according to the emotional data identified by the analysis results.

3. The information processing system according to Claim 1, wherein the advertising optimization is characterized by collecting behavioral data such as the user's browsing history, purchase history, search keywords, and location information, using the data to analyze the behavioral data to identify products or services that the user is likely to be interested in next, and based on the results of the analysis, automatically generating advertising creatives related to the relevant products or services and delivering them to the user's terminal.

4. The information processing system according to Claim 3, characterized in that the generation and distribution of the advertising creative are dynamically updated based on real-time response data from users.

5. The information processing system according to Claim 3, wherein the user behavior data includes click history, purchase history, browsing history, and location information.

6. The information processing system according to Claim 1, wherein the tax processing support is characterized in that it automatically calculates the tax amount based on the user's transaction data and automatically generates tax return documents.

7. An information processing system according to claim 6, wherein the transaction data includes data relating to cryptocurrency transactions, e-commerce transactions and financial transactions.

8. The information processing system according to Claim 6, characterized in that the calculation of the tax amount is performed dynamically in accordance with different tax laws for each region.

9. The information processing system according to claim 1, characterized in that the distributed ledger technology used in the asset exchange or settlement implements a quantum-resistant cryptographic algorithm consisting of a lattice-based cryptography, hash-based signature, code-based cryptography, or multivariant cryptography.

10. An information processing system according to claim 9, characterized in that the quantum-resistant cryptographic algorithm is applied to data verification and recording to a distributed ledger in the execution of a smart contract.

Images