Content Feed Ranking via Second-Degree Network Engagement Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Content feeds in social networks often suffer from user fatigue due to the inclusion of low-quality, repetitive, or irrelevant content items, which negatively impacts user engagement and experience.
Innovation Solution
A method and system for generating content feeds based on expanded network engagement, where content pools are created by aggregating user interaction data from member segments and networks, prioritizing content items with high engagement levels within first- and second-degree connections, and using metrics and thresholds to rank and select relevant content for inclusion in feeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content feeds include more content items to increase variety, then content diversity improves, but user fatigue increases due to low-quality and irrelevant content
Solution Approach 1:
The patent applies local quality by customizing content feed composition for different user segments based on their specific engagement patterns and preferences. Instead of a uniform approach, the system analyzes engagement metrics for each segment and selectively includes content types that resonate with that particular segment, thereby maintaining diversity while ensuring quality and relevance for each user group.
Solution Approach 2:
The system dynamically adjusts content feed parameters such as content type distribution, posting frequency, and selection criteria based on measured engagement levels. By changing these parameters according to segment-specific performance data, the system optimizes the balance between content diversity and user engagement, preventing fatigue while maintaining variety.
2Productivity
If content feeds prioritize high-engagement content from first- and second-degree connections, then user engagement improves, but system complexity increases due to expanded network analysis
Solution Approach 1:
The patent segments the social network into distinct user groups based on connection degrees (first-degree, second-degree, etc.). This segmentation allows the system to analyze and prioritize content from different network layers independently, managing complexity by breaking down the vast network into manageable segments that can be processed separately according to their engagement characteristics.
Solution Approach 2:
The system introduces intermediary metrics and intermediate processing layers that mediate between raw network data and final content selection. These intermediaries (such as engagement scores, segment definitions, and priority thresholds) simplify the complex network analysis by providing structured intermediate representations that make the selection process more manageable and scalable.
3Manufacturing precision
If content selection uses multiple metrics and thresholds for ranking, then content quality improves, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-defining engagement metrics, thresholds, and segment characteristics before content selection occurs. By establishing these criteria in advance and maintaining them as reusable definitions, the system avoids recalculating fundamental parameters during content selection, significantly reducing processing time while maintaining quality through the pre-established multi-metric framework.
Data Source
AI summary
The disclosed embodiments provide a system for processing data. During operation, the system uses one or more queries of a data set to aggregate one or more measurements of user engagement with a set of content items within a second-degree network of a member. Next, the system calculates one or more metrics from the one or more measurements. The system then ranks the set of content items by the one or more metrics. Finally, the system uses the ranking to present one or more of the content items in a content feed to the member.