User Matching Method Using Peer Exchange Principle
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Solution Overview
Problem
Current user matching methods in social software, such as Location-Based Services, user interest matching, and random matching, lack accuracy and fail to consider individual user preferences, leading to suboptimal communication pairings.
Innovation Solution
A user matching method and apparatus that involves a server receiving personal information from a terminal device, generating a candidate peer information list, allowing users to select preferred information types, and searching for recommended users based on an information peer exchange principle, ensuring accurate and specific matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user matching methods (LBS, interest-based, random) are used, then the matching process is simple and fast, but the matching accuracy and user satisfaction are low
Solution Approach 1:
The matching system is segmented into multiple independent modules: user information acquisition module, candidate peer generation module, user selection module, and recommended user search module. Each module handles a specific aspect of the matching process, allowing the system to improve accuracy through multiple matching dimensions while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces a new dimension to user matching by allowing users to select specific information types (e.g., age, location, interests) from candidate peers. This transforms the traditional single-dimension matching into a multi-dimensional selective matching process, significantly improving matching accuracy by considering both system-recommended and user-preferred attributes.
2Measurement precision
If comprehensive user information is collected for matching, then matching accuracy improves, but user privacy protection becomes more difficult
Solution Approach 1:
The system extracts only the necessary information types for matching that users explicitly select, rather than exposing all user information. Users can choose which information dimensions to share with recommended users, thereby protecting privacy while still enabling accurate matching on selected attributes.
Solution Approach 2:
The server acts as an intermediary that manages information exchange between users. It collects comprehensive user information for matching purposes but only reveals selected information types to recommended users, mediating between the need for accurate matching and privacy protection by controlling information disclosure.
3Ease of operation
If users have control over information selection, then user satisfaction and matching precision improve, but the operation complexity increases
Solution Approach 1:
The system performs preliminary action by pre-generating a list of candidate peers with their information types before user selection. This allows users to make informed decisions about which information to share without having to manually search or filter through all possible matching criteria, simplifying the user interface while maintaining control.
Solution Approach 2:
The interface allows users to selectively control information sharing on a local (per-information-type) basis rather than requiring global decisions. Users can choose to share or protect specific attributes (e.g., share location but not age) independently, providing fine-grained control without overwhelming the user with complex global settings.
Data Source
AI summary
An embodiment of the present application provides a user matching method, which includes: receiving first personal information sent by a current user; generating a first candidate peer information list according to the first personal information and providing the first candidate peer information list to the current user for selection; receiving at least one piece of first peer information selected by the current user from the first candidate peer information list; searching for a recommended user according to an information peer exchange principle, wherein the information peer exchange principle comprises that personal information of the recommended user matches with the at least one piece of first peer information selected by the current user, and the first personal information matches with at least one piece of first peer information selected by the recommended user; and providing information of the recommended user to the current user. A user matching apparatus is also provided.