User Activity Aggregation System for Cross-Platform Interest Matching
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Solution Overview
Problem
Current systems fail to effectively provide comprehensive information about user activities and preferences across multiple web platforms, leading to suboptimal user interactions and experiences on websites.
Innovation Solution
A system and method that collects and analyzes user characteristics, interests, and activities from various web sites, including social networks, to provide statistical and graphical information about user preferences and interactions, offering suggestions for enhancing activity levels and matching users based on shared interests and traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system collects and analyzes user characteristics, interests, and activities from multiple web sites, then the comprehensiveness of user information is improved, but the device complexity increases
Solution Approach 1:
The patent introduces a third-party information aggregation service that acts as an intermediary between multiple web sites and the user. This service collects user characteristics, interests, and activities from various web sites and presents processed information to the user, thereby reducing the complexity of directly managing multiple data sources while improving information completeness
Solution Approach 2:
The system segments the complex task of collecting and analyzing user information from multiple web sites into separate functional modules: information collection, data processing, analysis, and presentation. This segmentation allows each component to handle specific aspects of the complex task independently, making the overall system more manageable
2Ease of operation
If the system provides detailed statistical and graphical information about user preferences and interactions, then the user experience is improved, but the amount of information processing increases
Solution Approach 1:
The system creates simplified representations (copies) of complex user behavior patterns through statistical summaries and graphical visualizations. Instead of presenting raw data from multiple web sites, the system generates condensed information models that capture essential user preferences and interaction patterns, making the information more accessible while reducing processing requirements for display
3Quantity of substance
If the system collects information from multiple web sites including social networks, then the quantity of user data is improved, but the difficulty of detecting and measuring user activities increases
Solution Approach 1:
The system employs universal data collection mechanisms that can operate across multiple web sites and social networks with different functionalities. The same core detection framework is adapted to handle various types of user activities (likes, shares, comments, browsing) across different platforms, thereby managing the quantity of data while standardizing the detection process
Data Source
AI summary
A system and method provides information to a user about other users who have shown an interest in the user or in whom the user shows an interest, or other users in whom the user has shown disinterest or other users who have shown disinterest in the user, as indicated by actions performed with respect to a website or other Internet-accessible repository of data.


