Segment-Based Content Pools for Social Network Feeds
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Solution Overview
Problem
Content feeds, such as RSS and Atom feeds, often suffer from user fatigue due to the inclusion of low-quality, repetitive, or irrelevant content items, which negatively impacts the user experience by overwhelming users with spam, identical, or uninteresting content.
Innovation Solution
A method and system for generating segment-based content pools that select and order content items based on user activity and interests, using metrics like click-through rates and pointwise mutual information to create personalized content feeds by aggregating user interaction data and profile information, and blending these pools to prioritize relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content feeds include all available content items from multiple sources, then the quantity of content is increased, but user fatigue increases due to low-quality, repetitive, or irrelevant content
Solution Approach 1:
The patent segments the content pool into multiple categorized groups (e.g., news, entertainment, local events, trending topics) and applies different filtering and selection criteria to each segment. This allows the system to maintain high content quantity while reducing user fatigue by organizing and curating content from each segment based on relevance and quality metrics rather than presenting all content uniformly.
2Adaptability or versatility
If content feeds present diverse content from multiple sources, then content variety is improved, but relevance to individual users deteriorates due to inclusion of uninteresting content
Solution Approach 1:
The patent applies local quality by customizing content selection and filtering based on individual user profiles, preferences, and behavior patterns. Each user receives a tailored content feed where content variety is maintained through multiple sources, but relevance is improved by applying user-specific filtering criteria, weighting schemes, and prioritization rules that adapt to each user's interests and engagement history.
3Quantity of substance
If content feeds include identical or repetitive content items, then content quantity is maintained, but user engagement deteriorates due to lack of novelty
Solution Approach 1:
The patent implements feedback mechanisms that monitor user engagement metrics (clicks, shares, time spent, likes) and use this information to dynamically adjust content selection and filtering. Content that generates high engagement is prioritized and diversified, while repetitive or low-engagement content is suppressed. The system continuously learns from user interactions to improve content curation, maintaining quantity while enhancing novelty and engagement through adaptive feedback loops.
Data Source
AI summary
The disclosed embodiments provide a system for processing data. During operation, the system obtains one or more metrics associated with user interaction with a set of content items in a member segment of a social network. Next, the system ranks the set of content items by the one or more metrics. The system then generates a content pool for the member segment based on the ranking of the content items. Finally, the system creates a content feed from the content pool for presentation to a user in the member segment.