Group-Filtered Report System for Trusted Source Filtering
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Solution Overview
Problem
Existing systems fail to effectively filter and present reports based on user-specific groups, such as social networks, leading to irrelevant or untrusted reports being included, which can confuse users and diminish the value of report filtering.
Innovation Solution
A system that receives and filters reports based on user-defined groups, excluding reports not originated by group members and focusing on positive reports from trusted sources, allowing users to view filtered reports through various interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reports are filtered based on user-defined groups, then the relevance and reliability of reports are improved, but the system complexity increases
Solution Approach 1:
The system segments reports into different categories based on user-defined groups. Each group represents a specific category of trusted sources, allowing the system to organize and filter reports according to multiple segmentation criteria simultaneously, thereby improving reliability while managing complexity through structured organization
Solution Approach 2:
Users perform preliminary actions by defining their groups and membership criteria in advance. The system pre-processes reports by associating them with relevant groups before presentation, so that when users view reports, the filtering has already been performed, reducing the perceived complexity during actual use
2Quantity of substance
If all reports are presented to users, then the quantity of information is maximized, but the user experience deteriorates due to irrelevant information
Solution Approach 1:
The system applies different quality standards to different portions of the report set. Reports are not uniformly treated but are selectively filtered based on their association with user-defined groups. This local quality approach ensures that each user receives a customized subset of reports with appropriate relevance, improving user experience while preserving information quantity within the filtered set
Solution Approach 2:
The system performs partial filtering by applying group-based criteria to only the extent necessary for each user's specific needs. Rather than filtering all reports uniformly or presenting all reports without filtering, the system applies selective filtering based on group associations, achieving the optimal balance between information quantity and user experience
Data Source
AI summary
Systems and corresponding methods are provided that, in at least one embodiment, includes the act or acts of receiving a plurality of first representations; receiving a second representation of a first user; determining at least one group to which the first user belongs; determining at least one set of members of the at least one group; and filtering the plurality of first representations based, at least in part, on the at least one set of members. Each first representation represents a respective report.