Community User Circle Mining via Intimacy Score Clustering
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Solution Overview
Problem
In community platforms, users can only interact with friends within their community account, leading to poor interactivity as friends in the same account cannot interact with each other, and users are limited to interacting only with friends, missing opportunities for broader engagement.
Innovation Solution
A method and apparatus that acquire original community data to calculate intimacy scores between users, cluster them into user circles based on these scores, and display these circles to facilitate communication among users, allowing interactions beyond just friends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users only interact with friends in their community account, then the system structure is simple and easy to manage, but the interactivity and community engagement are poor
Solution Approach 1:
The patent segments users into different circles (interest circles, location circles, activity circles) based on their characteristics and behaviors. This segmentation allows users to interact with relevant groups beyond their friend list, improving interactivity while maintaining manageable system structure through organized classification
Solution Approach 2:
The patent introduces community circles as intermediary structures between users and potential interaction targets. These circles serve as mediators that connect users with others who share similar interests, locations, or activities, enabling indirect interaction discovery without requiring direct friend connections
2Adaptability or versatility
If users can only interact with friends in their community account, then the friend management is straightforward, but users miss opportunities for broader engagement and community interaction
Solution Approach 1:
The system performs preliminary actions by automatically calculating intimacy scores and pre-forming user circles based on user data analysis. This preliminary organization of users into circles based on interests, locations, and activities allows users to immediately access broader engagement opportunities without manually searching or managing complex social connections
Solution Approach 2:
The system enables self-service by automatically analyzing user behavior data, calculating intimacy scores, and forming user circles without requiring manual user input. Users simply need to provide basic information, and the system autonomously organizes them into appropriate circles, maintaining operational simplicity while expanding engagement scope
Data Source
AI summary
The present disclosure discloses a method and apparatus for mining community users, belonging to the field of Internet communications. The method includes: acquiring original community data of a community user; calculating intimacy scores of the community user with respect to other community users according to the original community data of the community user, the intimacy scores being used for indicating degrees of intimacy of the community user with respect to the other community users; clustering the community users according to the intimacy scores of the community user with respect to the other community users, and forming a community user circle; and displaying the community user circle to community users in the community user circle, so that the community users in the community user circle communicate with each other. The apparatus includes: a first acquiring module, a calculation module, a clustering module, and a display module.