Affinity Filtering System for Social Media User Segmentation
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Solution Overview
Problem
Existing social media systems lack the ability to effectively filter out users who do not share similar beliefs, opinions, age, gender, affiliation, activities, or other characteristics, leading to unwanted interactions and content exposure.
Innovation Solution
The implementation of an affinity filtering system that allows users to interact only with those who meet predetermined criteria, utilizing a 'like me' slider control and 'mindsets' approach to match user interests and filter content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users can interact with all users in the social media system, then the quantity of interactions and content exposure is maximized, but the relevance and quality of interactions deteriorates due to exposure to unwanted content from dissimilar users
Solution Approach 1:
The patent segments the user base into distinct groups based on shared characteristics, beliefs, opinions, and interests. Users are divided into affinity groups that share similar attributes, allowing the system to provide targeted content and interactions within each segment while maintaining overall system diversity. This segmentation resolves the contradiction by enabling quantity of interactions within segments while ensuring reliability through shared characteristics.
Solution Approach 2:
The patent applies local quality by allowing different regions or segments of the social media system to have different characteristics. Each affinity group has its own quality standards and content relevance criteria based on shared user attributes. This enables the system to maintain high relevance locally within each group while providing broad coverage across multiple groups, resolving the contradiction between quantity and reliability.
2Adaptability or versatility
If the social media system provides diverse content from all users, then the variety of content is maximized, but the precision of content matching user interests deteriorates
Solution Approach 1:
The patent segments content delivery by user affinity groups, providing diverse content within each segment while maintaining precision through shared characteristics. Users receive content from their affinity group members first, ensuring precision, while the system as a whole maintains versatility through multiple segments with different content types and perspectives.
Solution Approach 2:
The patent changes the parameter of content matching precision by introducing affinity-based filtering. Instead of uniform content delivery, the system adjusts content precision parameters based on user group affiliations, beliefs, and interests. This allows the system to maintain high precision for each user segment while preserving overall content variety across segments.
3Measurement precision
If the system filters users based on multiple characteristics, then the precision of user matching is improved, but the device complexity increases
Solution Approach 1:
The patent manages filtering complexity by segmenting users into pre-defined affinity groups based on shared characteristics. Rather than implementing complex real-time multi-parameter filtering, the system pre-segments users into groups with similar beliefs, opinions, demographics, and interests. This segmentation approach achieves high matching precision while keeping system complexity manageable through organized group structures.
Solution Approach 2:
The patent applies preliminary action by pre-establishing user affinity groups based on multiple characteristics before content delivery or interaction matching occurs. User profiles are pre-analyzed and categorized into affinity groups, allowing the system to achieve precise matching without complex real-time filtering operations. This preliminary segmentation reduces computational complexity while maintaining high precision.
Data Source
AI summary
Embodiments allow a particular user of a social media system to filter out other users who are not similar in noted beliefs, opinions, age, gender, affiliation, activities or any other characteristics. This can allow the user to interact only with those users who meet a predetermined criterion. A user can also use the system to discover other users with similar affinities and to discover items or categories in which the user may be interested by investigating the interests of those with similar affinities.