Social Network Post Identification via Automatic Topic Analysis
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Solution Overview
Problem
Conventional social networking platforms struggle to facilitate spontaneous and engaging conversations among users by identifying and presenting related posts in real-time, often requiring user input and failing to connect users with similar interests across different geographic and social graphs.
Innovation Solution
A social network environment that utilizes a social graph infrastructure to analyze user posts and actions, identifying related posts based on topic relevance, geographic proximity, and user interests, and presents them to users in a timely and interactive manner without additional user input, thereby fostering conversations around shared topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional social networking platforms require user input to identify and present related posts, then system complexity is reduced, but user engagement and spontaneous conversation facilitation deteriorate
Solution Approach 1:
The system automatically identifies related posts and initiates conversation facilitation without requiring user input. The social graph infrastructure autonomously analyzes user actions, determines topic relevance, identifies geographic proximity, and presents related posts, allowing the system to serve itself in the information discovery process.
Solution Approach 2:
The patent introduces an intermediary component that bridges users and related content by automatically analyzing social graph data, user actions, and post topics. This intermediary system processes information between user actions and content presentation, reducing the need for direct user-system interaction while managing complexity through specialized intermediate processing layers.
2Adaptability or versatility
If the system connects users across different geographic and social graphs, then user engagement and diverse perspective exposure improve, but system complexity and computational requirements worsen
Solution Approach 1:
The social graph infrastructure serves multiple functions simultaneously: it stores user relationship data, enables geographic proximity analysis, identifies topic relevance across different user groups, and facilitates cross-graph connections. This multi-functional approach allows the system to connect users across different geographic and social graphs without requiring separate specialized systems for each function.
Solution Approach 2:
The patent extends the traditional social graph by adding geographic dimension and topic relevance dimension to the existing user connection model. By incorporating these additional dimensions, the system can identify and connect users across different geographic and social graphs based on multiple criteria simultaneously, enhancing adaptability while managing complexity through dimensional integration.
3Speed
If real-time analysis of user posts and actions is performed, then conversation facilitation timeliness improves, but processing time and computational resources worsen
Solution Approach 1:
The system performs preliminary indexing and organization of user posts, actions, and social graph data in advance, so that when a user action occurs, the related post identification process can proceed quickly by querying pre-processed data structures rather than analyzing raw data in real-time, thus reducing computational resource consumption while maintaining speed.
Data Source
AI summary
In one embodiment, a method includes receiving a first user action relating to a first topic from a first user, identifying the first topic based on the first user action, identifying one or more second posts that relate to the first topic, and transmitting to the first user one or more of the second posts or information associated with the second posts in a structured document for display to the first user, the structured document further comprising one or more interactive elements that enable the first user to interact with the one or more second posts or to respective second users that declared the second posts.