Social Media User Profiling Using Network Links and Baseline Interests
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Solution Overview
Problem
Existing online user profiling systems fail to effectively utilize information from third-party networks to infer user interests, relying solely on user declarations and historic behaviors on content provider platforms.
Innovation Solution
A method and system that analyzes content and links from both a user and associated users within a social media network, generating a user profile based on content from the social media network and linked content, while adjusting for general popularity using a baseline user profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user profiling is based only on user declaration and historic behaviors on content provider platforms, then the system complexity is low, but the user interest inference accuracy is insufficient
Solution Approach 1:
The patent merges data from multiple sources including user declarations, historic behaviors on content provider platforms, and third-party network behaviors into a unified user profile. This combines multiple data streams to improve inference accuracy while managing system complexity through integrated processing.
Solution Approach 2:
The patent introduces an intermediary processing layer that aggregates and analyzes data from third-party networks and content provider platforms. This intermediary module transforms raw data from multiple sources into structured user interest profiles, improving accuracy while isolating the complexity of multi-source integration.
2Loss of information
If information from third party networks is not considered, then the data processing is simple, but the comprehensiveness of user interest understanding is limited
Solution Approach 1:
The patent combines information from third-party networks with data from content provider platforms, merging previously separate data sources into a comprehensive user profile that reduces information loss about user interests.
Solution Approach 2:
The user profiling system is designed to handle multiple data sources universally, processing both traditional platform data and third-party network data through the same analytical framework, enabling comprehensive user interest understanding across diverse information sources.
Data Source
AI summary
The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.