Contact Matching Using Interest Label Comparison
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Solution Overview
Problem
Conventional instant messaging applications have low efficiency and accuracy in finding contacts with similar interests, as they require users to manually search through contacts using the same application.
Innovation Solution
A contact matching method and apparatus that obtain and compare interest labels to identify matching contacts, displaying identifiers in a predefined manner to enhance recognition and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional instant messaging applications manually search through contacts using the same application, then contacts can be found, but the efficiency and accuracy of finding contacts with similar interests is low
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing interest labels for all users in advance. When a user searches for contacts, the system directly queries these pre-stored interest labels rather than manually analyzing contact profiles, significantly improving both matching speed and accuracy.
Solution Approach 2:
The patent changes the search parameter from manual profile analysis to structured interest label comparison. By representing user interests as discrete, comparable labels, the system enables efficient algorithmic matching that improves both precision and productivity simultaneously.
2Measurement precision
If interest labels are compared to identify matching contacts, then matching accuracy improves, but the system complexity increases
Solution Approach 1:
The system segments complex user profiles into discrete, manageable interest labels. Each user's interests are broken down into individual tags that can be independently stored and compared, simplifying the matching process while maintaining high accuracy.
Solution Approach 2:
Interest labels serve as an intermediary layer between users and the matching system. Instead of directly comparing complex user profiles, the system uses these simple label intermediaries to facilitate accurate and efficient matching with minimal system complexity.
3Ease of operation
If contact identifiers are displayed in a predefined manner, then user recognition of matching contacts improves, but the displaying time increases
Solution Approach 1:
The system uses visual differentiation through color coding or styling to highlight matching contacts. By applying distinct visual markers to identifiers of matched contacts, users can rapidly identify relevant contacts without requiring extensive display time or complex sorting operations.
Data Source
AI summary
Examples of the present disclosure provide a contact matching method. The method includes: obtaining a first interest label corresponding to a contact waiting for match and a second interest label corresponding to respective contact other than the contact waiting for match in a matching interface displayed on the client device; comparing the first interest label and the second interest label to obtain at least one contact matching with the contact waiting for match; and displaying a first contact identifier corresponding to the contact waiting for match and a second contact identifier corresponding to respective matching contact or a second contact identifier corresponding to respective matching contact in the matching interface according to a predefined first displaying manner. Examples of the present disclosure also provide a contact matching apparatus. The solution of the present disclosure improves contact matching efficiency and accuracy.