Social Network Trending Topics via Member Profile Segmentation
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Solution Overview
Problem
Conventional social network systems fail to accurately identify trending topics based on member interactions, leading to inefficient resource usage and inaccurate data for administrators and advertisers, as they do not consider the profile data of members causing content to trend.
Innovation Solution
A social network system that utilizes member profile data to associate trending topics with genres, such as career or educational background, by analyzing interactions with content items, allowing topics to be generated and organized based on relevant profile data categories, thereby providing more targeted and efficient trending data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional social network systems track keyword occurrences to identify trending topics, then trending topics can be identified, but the system cannot determine which members are causing the content to trend or what members are likely to want presented to them
Solution Approach 1:
The patent segments the trending topic identification process by creating separate trending indicators for different member profile categories (e.g., engineers, marketers, students). Instead of a single aggregate trending metric, the system divides trending data by genre based on member profile data, allowing precise identification of which member segments are driving each trend while preserving information about member characteristics.
2Productivity
If the system presents trending content to all members, then popular content is distributed, but resources are used inefficiently and members receive unwanted content items
Solution Approach 1:
The patent applies local quality by customizing content distribution according to each member's profile category. Instead of uniform content presentation, the system tailors trending content recommendations to match the specific genre associations of each member segment. For example, trending tech content is preferentially shown to engineers, while trending marketing content is shown to marketers, thereby improving resource efficiency and preventing unwanted content presentation.
3Ease of manufacture
If the system generates trending data without considering member profile data, then trending topics can be identified, but the data is unrepresentative and inaccurate for administrators and advertisers
Solution Approach 1:
The patent introduces member profile data as an intermediary layer between content interactions and trending topic identification. This intermediary enables the system to filter and categorize interactions by member genre, creating a bridge that transforms raw interaction data into genre-specific trending insights. The profile data acts as a mediator that preserves member characteristic information while generating actionable trending metrics for administrators and advertisers.
Data Source
AI summary
A system and method includes an electronic data storage device to store activity data and profile data of members of a social network including content items individually associated with a content item topic. A processor may obtain the activity data and the profile data, determine an association of the social network topic with at least one of a plurality of social network genres based on the activity data, wherein individual ones of the social network genres are based, at least in part, on a category of the profile data. The processor may store the association of the social network topic with the at one of the plurality of social network genres, and cause a user interface to display information related to the content item topic based, at least in part, on the activity data associated with content items associated with the content item type.