Social Graph Edge Segmentation for User Characterization
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Solution Overview
Problem
Existing social networking systems lack effective techniques for user recommendation and content dissemination, leading to inefficient connection management and content exposure.
Innovation Solution
A system and method that utilize a social graph with user-provided and system-provided edges to manage user connections, recommend content, and characterize new users by monitoring reactions to representative content, allowing for targeted content delivery and group formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system provides edges automatically to connect users, then user connection management is improved, but users cannot view or control these system-provided edges
Solution Approach 1:
The patent segments edges into two distinct types: user-provided edges (visible and controllable by users) and system-provided edges (invisible and managed by the system). This segmentation allows the system to efficiently manage connections through automated edges while preserving user control and visibility over explicitly chosen connections, thereby resolving the contradiction between connection management efficiency and user control.
2Productivity
If the system delivers content to all users in a colony group, then content dissemination is improved, but new users cannot be accurately characterized
Solution Approach 1:
The patent implements preliminary action by first delivering content to established users in a colony group before a new user joins, then using the new user's reaction to this pre-delivered content to characterize them. This approach allows accurate user characterization while maintaining efficient content dissemination to the entire group, as the system only needs to monitor the new user's response rather than individually characterizing each member.
Solution Approach 2:
The system uses feedback from the new user's reaction to representative content to accurately characterize them. By monitoring whether the new user engages with content delivered to their potential colony group, the system can precisely determine user preferences and characteristics, resolving the contradiction between efficient content delivery and accurate user characterization.
3Measurement precision
If the system monitors reactions to representative content for each new user, then user characterization is improved, but content delivery complexity increases
Solution Approach 1:
The patent uses representative content as an intermediary to characterize new users. Instead of implementing complex individualized content delivery and monitoring systems for each new user, the system delivers a selected representative content to the new user and monitors their reaction. This intermediary approach simplifies the content delivery system while maintaining high user characterization accuracy.
Data Source
AI summary
A system and method for recommendation engine initialization and new user characterization. An implementation of the platform is a mobile application.