User Matching Service Using Suitability Filtering and Preferences
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Solution Overview
Problem
Existing matching services face challenges in ensuring satisfactory user experiences due to random pairings, leading to short conversations or dissatisfaction, as users have varying preferences for conversational partners.
Innovation Solution
An electronic device and method that identifies a first user entering a match-pending group, obtains match suitability information among multiple users, and provides match information based on user preferences and conditions, including filtering and premium service considerations, to enhance the likelihood of matching with desired counterparts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are matched completely randomly, then the matching process is simple and fast, but the conversation duration and user satisfaction become short and unsatisfactory
Solution Approach 1:
The system performs preliminary actions by collecting user profile information, preferences, and behavior data before the matching process. This advance preparation enables the system to calculate compatibility scores and generate targeted match recommendations, thereby extending conversation duration without complicating the user-facing matching process.
Solution Approach 2:
The patent introduces an intermediary matching server that acts as a mediator between users. This server calculates compatibility scores based on user data and generates match recommendations, thereby extending conversation duration without complicating the user-facing matching process.
2Device complexity
If users are matched completely randomly, then the system complexity remains low, but user experience and satisfaction deteriorate
Solution Approach 1:
The patent introduces an intermediary matching server that acts as a mediator between users. This server calculates compatibility scores based on user data and generates match recommendations, thereby extending conversation duration without complicating the user-facing matching process.
Solution Approach 2:
The system changes parameters by incorporating multiple dimensions of user data (profiles, preferences, behavior patterns) into the matching algorithm. This enables more reliable and satisfactory user experiences while maintaining manageable system complexity through structured data processing.
3Measurement precision
If filtering services are implemented to match user preferences, then matching accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by collecting and preprocessing user profile information, preferences, and behavior data before the matching process. This advance preparation enables the system to calculate compatibility scores and generate targeted match recommendations, thereby extending conversation duration without complicating the user-facing matching process.
Solution Approach 2:
The patent implements partial filtering by applying filter conditions selectively based on user settings and match suitability. Not all filtering criteria are applied uniformly to all users, which reduces unnecessary processing time while maintaining matching accuracy for those who require detailed filtering.
4Manufacturing precision
If match suitability is calculated for all user pairs, then matching quality improves, but computational load and processing time increase
Solution Approach 1:
The patent implements partial filtering by applying filter conditions selectively based on user settings and match suitability. Not all filtering criteria are applied uniformly to all users, which reduces unnecessary processing time while maintaining matching accuracy for those who require detailed filtering.
Solution Approach 2:
The system changes parameters by incorporating multiple dimensions of user data (profiles, preferences, behavior patterns) into the matching algorithm. This enables more reliable and satisfactory user experiences while maintaining manageable system complexity through structured data processing.
Data Source
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AI summary
The present invention discloses a method of providing a matching service in an electronic device, comprising: a step wherein a first user entering a match-pending group is identified; a step wherein match suitability information is obtained related to the progress of matching among a plurality of users in the match-pending group; and a step wherein match information corresponding to the first user is obtained based on the match suitability information.