Dynamic User Profile Presentation via Connection Strength Prioritization
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Solution Overview
Problem
Existing social network systems do not effectively present user profile information based on the strength of commonalities among users, leading to inefficient and irrelevant information sharing.
Innovation Solution
A system and method for dynamically presenting user profile information by identifying and prioritizing commonalities between users, such as social connections, interests, and activities, using a processor to retrieve and organize profile data, and automatically setting access permissions based on connection strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user profile information is presented to all users uniformly, then information accessibility is improved, but information relevance deteriorates
Solution Approach 1:
The patent applies local quality by customizing the presentation of user profile information based on the relationship strength between users. Different users receive different levels of detail and types of information according to their connection strength to the profile owner, making each user's information experience locally optimized for their specific relationship context rather than uniformly applied.
Solution Approach 2:
The system dynamically adjusts profile information presentation based on real-time relationship strength calculations. As connections between users change (e.g., new friendships, collaborations, or interactions), the system automatically re-evaluates and re-prioritizes which profile information to display, making the information presentation adaptive and dynamic rather than static.
2Quantity of substance
If all profile information is made accessible, then data availability is improved, but information quality deteriorates
Solution Approach 1:
The patent extracts and separates profile information into different tiers based on relationship strength. High-quality, more detailed information is extracted and presented only to users with strong connections, while basic information is available to all. This extraction process filters out low-quality or less relevant information from the default viewing experience, improving overall information quality for targeted audiences.
Solution Approach 2:
The system changes the parameter of information granularity and detail level based on relationship strength parameters. Users with stronger connections receive more detailed, high-quality information, while users with weaker connections receive summarized or basic information. This parameter adjustment optimizes information quality for each user segment without requiring manual filtering.
3Reliability
If manual permission setting is required for each user, then access control precision is improved, but system complexity increases
Solution Approach 1:
The system implements self-service access control by automatically determining profile visibility based on calculated relationship strengths. Instead of requiring manual permission settings for each user, the system autonomously evaluates connection metrics (such as interaction frequency, mutual connections, or collaboration history) and automatically grants or restricts access accordingly, eliminating the need for complex manual permission management.
Solution Approach 2:
The access control system incorporates feedback loops that continuously monitor user interactions and relationship developments. As users interact with each other's profiles or engage in collaborations, the system updates relationship strength calculations, which automatically adjusts access permissions in real-time. This feedback mechanism maintains precise access control without requiring manual intervention.
Data Source
AI summary
Systems and methods for dynamic user profile presentation in a large-scale network are provided. Individuals may request to retrieve user profiles of other users in the network. Commonalities between the requesting individual and the owner of the user profile are identified. The commonalities may include non-public information associated with the owner of the user profile. Connection strength associated with each commonality is determined and the commonalities are prioritized according to the connection strength. The commonalities between the requesting individual and the owner of the user profile are presented to the requesting individual based on the prioritization.