Social Network Group Topic Inference for Content Selection
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Solution Overview
Problem
Social networking systems face challenges in selecting relevant content for group members when topic information associated with the group is absent, leading to user disengagement and reduced revenue opportunities.
Innovation Solution
The system determines topics associated with groups using information like geographic location, user actions, and hierarchical classification systems, and computes a similarity score for content items based on topic matching to rank and select relevant content for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If targeting criteria based on user profile information are used to select content items, then user engagement is improved, but content relevance to group topics deteriorates when topic information is absent
Solution Approach 1:
The patent introduces topic information as an intermediary element that mediates between user profile information and content selection. When topic information is available, it serves as the primary basis for content selection; when absent, the system falls back to user profile information. This intermediary mechanism resolves the contradiction by providing a hierarchical selection strategy that ensures content relevance to group topics while maintaining user engagement.
Solution Approach 2:
The system performs preliminary determination of topic information associated with groups before content selection. By pre-establishing topic information through various methods (administrator input, user actions, automated analysis), the system prepares the necessary context in advance to ensure content relevance. This preliminary action prevents the loss of topic relevance when content selection is performed.
2Loss of information
If topic information is obtained through multiple methods (user actions, geographic location, hierarchical classification), then content relevance is improved, but system complexity increases
Solution Approach 1:
The patent segments the topic information determination process into distinct, independent methods: analyzing user actions within the group, determining geographic locations of members, and using hierarchical classification systems. Each method operates as a separate module that can be independently implemented and configured. This segmentation reduces system complexity by breaking down the complex task of topic determination into manageable, modular components.
Solution Approach 2:
The system implements topic information determination through multiple methods but allows for selective activation. Not all methods need to be fully implemented or activated simultaneously - the system can use partial implementation of these methods depending on available resources and specific group characteristics. This partial action approach maintains content relevance while controlling system complexity.
Data Source
AI summary
A social networking system allows users to create and join groups in the social networking system, in which each group is associated with one or more interests shared by members of the group. To select content for presentation to a viewing user of the social networking system who is a member of a group, the social networking system may determine one or more topics associated with the group based at least in part on a classification system and on information associated with objects maintained in the social networking system that are similar to the group. The topic(s) associated with the group also may be determined based on information associated with the group, with members of the group, and/or with objects associated with the group. The social networking system may then select one or more content items associated with the topic(s) for presentation to the viewing user via a group page.