Server-Based Community Site Discovery and User Matching
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Solution Overview
Problem
Users face difficulties in easily participating in community sites due to the vast number of websites and the effort required to find relevant information exchange platforms, as existing methods involve manual searching and selecting appropriate community sites based on individual interests.
Innovation Solution
An information processing method and system that acquire and store user data, extract relevant data to establish communities among users with similar interests, and present community information to users, facilitating community formation and communication through a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for community sites through search engines, then they can find relevant websites, but the process requires significant time and effort due to the vast number of websites
Solution Approach 1:
The system automatically performs community site discovery and user matching without requiring manual search. The server autonomously analyzes user profiles, extracts interests, and identifies relevant community sites, allowing the system to serve itself in the information gathering and matching process.
Solution Approach 2:
The server acts as an intermediary between users and community sites. It receives user profile information, processes it through automated analysis, and connects users to appropriate community sites, eliminating the need for direct manual searching by users.
2Adaptability or versatility
If community sites are set up based on individual user or company requirements, then they can serve specific interests, but users cannot easily find sites matching their own interests
Solution Approach 1:
The system uses feedback from user profile information and interest data to automatically adjust and identify relevant community sites. By analyzing what users are interested in and matching it with appropriate communities, the system creates a feedback loop that improves matching accuracy without requiring manual intervention.
Solution Approach 2:
The system changes the parameter of community site discovery from manual user action to automated server-side processing. By transforming the approach from user-driven searching to system-driven matching based on profile parameters and interest data, it makes the process easier while maintaining customization.
3Ease of operation
If users manually specify and access community sites, then they can participate in information exchange, but the process is complex and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically analyzing user profiles and identifying relevant community sites before users need to access them. This advance processing eliminates the need for users to manually search and specify sites when they want to participate, saving time and simplifying the process.
Solution Approach 2:
The system provides self-service by automatically handling the entire process of community site identification and connection. Users simply provide their profile information, and the system autonomously completes the matching and access setup, eliminating manual specification steps.
Data Source
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AI summary
A community creating site (50) is connected to an information terminal (20) over a network. When a user inputs a search keyword on the information terminal (20), an input information acquirer (62) acquires the search keyword via a Web server (52) and registers it in a user information master (84) together with user information. A community creator (66) creates a community by extracting users who have inputted the same search keyword from the users registered in the user information master (84) and recording them in a community information master (86). An information extractor (68) sends to the information terminal (20) the user information on the other users belonging to the same community via a Web server (52).