User Profile Generation via Social Network Clustering
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Solution Overview
Problem
User profiling technologies face challenges in generating informative user profiles when users do not frequently post content on social web pages, resulting in limited information and inadequate profile generation.
Innovation Solution
A method that acquires user characteristic data from both the user and their socially connected users, clusters these users into sets based on similarity, determines key characteristic data for each set, and generates a user profile using this data to enhance profile informativeness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user profile is generated based only on user's own posted content, then the profiling process is simple, but the profile informativeness is insufficient when users do not frequently post content
Solution Approach 1:
The patent merges the user's own characteristic data with characteristic data from socially connected users to generate a comprehensive user profile. This combination resolves the contradiction by enriching the information base without making the process overly complex, as the system automatically collects and integrates data from connected users.
Solution Approach 2:
Socially connected users act as intermediaries to provide additional characteristic data about the target user. These intermediaries contribute information that the target user themselves may not provide through posts, thereby enhancing profile informativeness while maintaining automated processing.
2Loss of information
If characteristic data from socially connected users is collected and processed, then profile informativeness is improved, but data processing complexity increases
Solution Approach 1:
The patent segments socially connected users into different user sets based on their characteristics and relationships. This segmentation allows the system to process data from multiple users in an organized manner, reducing overall processing complexity while maintaining data completeness.
Solution Approach 2:
The system extracts key characteristic data from socially connected users and separates it from the raw data collection process. By extracting only relevant characteristic features and excluding redundant information, the system improves data completeness while managing processing complexity effectively.
3Loss of information
If multiple socially connected users are analyzed individually, then comprehensive user characteristics are obtained, but processing time and computational resources increase
Solution Approach 1:
The patent combines characteristic data from multiple socially connected users into aggregated user sets, processing them collectively rather than individually. This merging approach maintains comprehensive user characteristic accuracy while significantly reducing processing time and computational resource requirements.
Solution Approach 2:
The system performs preliminary grouping of socially connected users into user sets based on their relationships and characteristics before detailed analysis. This preliminary action organizes the data structure in advance, enabling more efficient processing and reducing overall computation time while preserving characteristic accuracy.
Data Source
AI summary
A method includes: acquiring user characteristic data of a first user and user characteristic data of at least two second users, each of the at least two second users having a social relationship with the first user; clustering the at least two second users to obtain at least two user sets, a similarity between the user characteristic data of any two second users in each user set satisfying a similarity condition; determining first key user characteristic data corresponding to the each user set according to the user characteristic data of the second users in the each user set; and generating a user profile of the first user according to the first key user characteristic data corresponding to the each user set and the user characteristic data of the first user.