Profile Data Filtering System for Reducing Information Overload
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Solution Overview
Problem
Existing systems for accessing user profiles are plagued by information overload and error-prone search processes, as users must sift through numerous irrelevant data items to find relevant information, making it tedious and inefficient to form connections.
Innovation Solution
A method and system that filters data items in a target user's profile based on the profile of the querying user, hiding irrelevant data items and presenting only relevant information, thereby reducing information overload and improving the efficiency of connection-seeking processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the quantity of data items in a user profile is increased to improve connection judgment quality, then the completeness of information is improved, but the time and effort required to review the profile increases
Solution Approach 1:
The patent extracts and removes irrelevant data items from the profile presentation, showing only data items that are relevant to the querying user based on their profile characteristics. This extraction approach maintains information completeness for relevant items while eliminating unnecessary review time for irrelevant items.
Solution Approach 2:
The patent applies local quality by customizing the profile presentation to match the specific needs and characteristics of each querying user. Different users see different subsets of data items based on their profiles, making the information presentation locally optimized for each user's needs rather than uniformly complete for all users.
2Measurement precision
If manual search queries are used to filter data items, then search precision can be improved, but the complexity and error rate of the search process increases
Solution Approach 1:
The system performs self-service by automatically filtering and presenting relevant data items based on the querying user's profile characteristics. The system autonomously determines relevance without requiring manual search query construction, eliminating the complexity of crafting precise queries while maintaining high search precision through automated profile-based filtering.
3Loss of information
If all data items are presented to the querying user, then the completeness of information is maintained, but the ease of operation decreases due to information overload
Solution Approach 1:
The system extracts and removes irrelevant data items from the complete profile, presenting only the subset that is relevant to the querying user. This extraction maintains operational ease by reducing the number of items to review while preserving information completeness for the relevant subset through automated relevance determination.
Solution Approach 2:
The patent applies local quality by customizing the profile presentation to match the specific needs and characteristics of each querying user. Different users see different subsets of data items based on their profiles, making the information presentation locally optimized for each user's needs rather than uniformly complete for all users.
Data Source
AI summary
A request corresponding to a target user is received from a querying user. The request can specifically identify the target user, or it could include a search criteria that results in identification of one or more target users. In any event, once the request is received, entries of data items (e.g., user profiles) associated with the target user(s) and the querying user (or some other user) are accessed. Based on the data items in the querying user's profile (or the other user's profile), the data items in the target user's profiles are filtered so that the querying user is not presented with an overload of information. Once the target user's profile has been filtered, it will be presented to the querying user.