Digital Human Data Transaction System for Accurate User Query
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Solution Overview
Problem
Current search methods for user data in network information are inefficient, often yielding irrelevant results due to the large volume of retrieved data and proprietary user data being inaccessible, leading to wasted time and low retrieval efficiency.
Innovation Solution
A data information transaction method and system that extracts digital humans from user data, allowing users to query and purchase user characteristic information by setting permission management parameters, ensuring accurate and efficient retrieval of relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword-based search engine retrieval is used to search for user data in massive network information, then the retrieval process can be performed, but the retrieval accuracy deteriorates and query efficiency decreases due to large quantity of irrelevant results
Solution Approach 1:
The patent segments the massive network information into structured user data stored in a database, organized by user identifiers. Instead of searching through unstructured web pages, the system divides data into manageable user profiles with specific attributes, enabling precise targeted queries that return accurate results quickly.
Solution Approach 2:
The patent creates a digital copy of user data from various network sources and stores it in a centralized database. This copying approach allows the system to retrieve information from the structured database rather than crawling through original web pages, significantly improving both retrieval accuracy and efficiency.
2Reliability
If proprietary portal or website user data is excluded from retrieval space, then user privacy is protected, but retrieval completeness deteriorates causing inaccurate final results
Solution Approach 1:
The patent introduces a centralized database as an intermediary that collects user data from various sources including proprietary portals. Users grant permission for their data to be stored in this intermediate repository, which then serves as a safe access point for researchers. This mediator approach protects user privacy while enabling complete data retrieval.
Solution Approach 2:
The patent performs preliminary data collection and storage in a centralized database before any research queries are executed. User data is pre-processed, validated, and stored with proper permission settings in advance, allowing complete and accurate retrieval when needed while maintaining privacy protections.
3Reliability
If permission management parameters are implemented for user characteristic information, then user privacy and security are ensured, but system complexity increases
Solution Approach 1:
The patent implements self-service permission management where users directly control access to their own data through configurable permission parameters. Users can specify which researchers or research projects can access their information, eliminating the need for complex manual approval processes while maintaining strong privacy and security protections.
Data Source
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AI summary
The present invention provides a data information transaction method and system. The method includes: receiving, by a server, a query request that is sent by a terminal of a data requester and carries a query condition and a user characteristic identifier of a digital human that needs to meet the query condition, where the user characteristic identifier is a characteristic category identifier obtained by classifying user characteristic information included in the digital human; determining user characteristic information that is of a digital human and corresponding to the query condition and the user characteristic identifier, obtaining a query result, and sending the query result to the terminal of the data requester; and receiving a purchase request sent by the terminal of the data requester, and completing a transaction according to the purchase request. User characteristic information is queried in a digital human according to a query condition and a user characteristic identifier, so that a query result is more accurate and query efficiency is improved; moreover, obtaining user characteristic information by means of a purchase transaction is beneficial to ensuring legal interests and information security of an actual terminal user.