Information Query System Using Trusted User Segmentation
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Solution Overview
Problem
Current information query systems fail to provide credible results due to the inclusion of false information among the vast amount of shared data, as they do not differentiate between trusted and untrusted sources.
Innovation Solution
A method and system that prioritize shared information from trusted users, identified through social networking or group affiliations, and provide query results marked with accuracy identifiers, along with position information to enhance credibility and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the information query system searches among all released shared information without filtering, then the quantity of information provided to users increases, but the reliability of the information decreases due to inclusion of false information
Solution Approach 1:
The patent segments the information search process into two distinct parts: first searching trusted information sources (trusted users, official accounts, verified sources) and then searching untrusted sources. This segmentation allows the system to prioritize reliable information while still providing access to comprehensive information, resolving the contradiction between information quantity and credibility.
Solution Approach 2:
The patent applies local quality by differentiating between trusted and untrusted information sources within the overall search space. Trusted sources receive priority treatment and are searched first, while untrusted sources are searched second. This localized quality differentiation ensures that credible information is prominently provided while maintaining comprehensive coverage.
2Reliability
If the information query system filters information only from trusted users, then the reliability of query results improves, but the quantity of available information may be reduced
Solution Approach 1:
The patent implements a dynamic two-stage search process that adapts based on query results. The system first searches trusted sources, and if sufficient information is found, stops there. If not, it dynamically extends the search to untrusted sources. This dynamic approach ensures reliability is maintained while preventing unnecessary loss of information quantity.
Solution Approach 2:
The patent applies partial action by selectively filtering information based on source trustworthiness. Rather than completely excluding untrusted sources, the system partially filters by giving priority to trusted sources first, and only supplementing with untrusted sources when necessary. This partial filtering approach maintains reliability while preserving information quantity.
3Measurement precision
If the system marks information with accuracy identifiers and provides position information, then user trust and information accuracy improve, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-marking information with accuracy identifiers and position information during the information release and storage phase. When information is uploaded to the system, trusted status, accuracy identifiers, and location data are attached in advance. This preliminary tagging eliminates the need for complex real-time analysis during querying, reducing system complexity while maintaining high measurement precision.
Data Source
AI summary
A method and system for information query include: receiving and saving shared information released by users (101); receiving a query request sent by a user and searching for a trusted user corresponding to the user (102); searching for shared information meeting a query condition in the query request among shared information released by the trusted user, and returning a query result to the user requesting for query (103). The method and system may provide a more credible query result to the querying user.