Social Network Brand Page Tagging for User Interest Segmentation
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Solution Overview
Problem
Social networking systems fail to effectively account for varying levels of user interest in different content posted by brand pages, leading to irrelevant information being communicated to users.
Innovation Solution
Generating and associating tags with content items on brand pages, allowing users to interact with content based on specific interests, and grouping users by their interaction with these tags to tailor subsequent content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional content distribution is used, then all users connected to a brand page receive the same content, but user engagement decreases due to irrelevant information
Solution Approach 1:
The patent segments users into distinct groups based on their interaction patterns with content tagged by entities. Users are divided into segments such as those who interact with product content versus those who interact with promotional content, allowing tailored content delivery to each segment. This segmentation enables the system to provide personalized content while maintaining manageable complexity through automated classification.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with content (likes, comments, shares) are captured and used to refine content delivery. The social networking system analyzes interaction data and adjusts content distribution accordingly, creating a closed-loop system that continuously improves personalization based on actual user behavior patterns.
2Loss of information
If all content is presented to users, then complete information is provided, but information overload occurs reducing user engagement
Solution Approach 1:
The patent extracts and isolates relevant content based on user segments and their interaction histories. By identifying which content types resonate with specific user segments, the system extracts and prioritizes only the most relevant information for delivery, filtering out redundant or irrelevant content while maintaining comprehensive coverage of important topics.
Solution Approach 2:
The system applies local quality by customizing content characteristics for different user segments. Rather than uniform content delivery, the system adjusts content type, timing, and formatting based on the specific needs and preferences of each user segment, ensuring optimal information delivery for each local context.
3Adaptability or versatility
If entities post all content to brand pages, then complete brand information is shared, but user interest in specific content decreases
Solution Approach 1:
The patent implements dynamic content strategies where the brand page automatically adjusts content distribution based on real-time user interaction data. The system dynamically shifts content focus to match current user interests within different segments, ensuring consistent engagement by adapting to changing user preferences rather than maintaining static content schedules.
Data Source
AI summary
Content posted to a brand page is associated with one or more tags defined by an entity associated with the brand page. Tags associated with content with which the user interacts are identified. As users of a social networking system interact with the content, the tags allow identification of user interests based on interaction with content items. Interactions with the tagged content allow the entity to use the tags to infer content in which different users have an interest. Because the tags are defined by the entity, distribution lists of users interested in content, such as content associated with business segments, may be created by the entity. The entity may also correlate user interests to aspects of user profiles, thereby developing an understanding of its consumers.