Profile Matching System Integrating External User Pools
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Solution Overview
Problem
Current matching systems face challenges such as limited user pools, inefficiencies in search processes, and high rates of irrelevant or unwanted communication, leading to user dissatisfaction and reduced system quality due to users with attractive profiles ceasing to use the service.
Innovation Solution
A method for profile matching that involves receiving user profiles, determining potential matches based on preference indications, and presenting them to users, while also allowing for dynamic updates, implicit and explicit criteria evaluation, and integration with other social networking systems to broaden the user pool and enhance search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users register in multiple matching services to expand the user pool, then the variety of potential matches increases, but the cost and time consumption for users increases significantly
Solution Approach 1:
The patent combines multiple matching services into a single integrated platform that aggregates user profiles from various sources. This allows users to access a expanded user pool without needing to register separately on multiple services, thereby reducing time consumption and registration costs while maintaining access to diverse potential matches
Solution Approach 2:
The matching service is designed to perform multiple functions: it can search for matches within its own platform, import profiles from external services, and provide centralized monitoring. This multi-functionality eliminates the need for users to engage with multiple separate services, resolving the contradiction between user pool size and time investment
2Quantity of substance
If the system presents all search results to users, then completeness of match options is maintained, but users spend excessive time reviewing irrelevant entities
Solution Approach 1:
The system extracts and removes irrelevant entities from the search results before presenting them to users. By filtering out non-matching profiles based on compatibility criteria, the system maintains the completeness of relevant match options while eliminating time-wasting irrelevant content, thus resolving the contradiction between result completeness and review time
Solution Approach 2:
The system applies partial filtering by removing only the clearly irrelevant entities while preserving all potentially relevant matches. This selective action ensures users don't waste time on obvious non-matches while still having access to complete relevant options, balancing thoroughness with efficiency
3Productivity
If users with attractive profiles receive more communication requests, then their visibility increases, but the quality of the user pool deteriorates due to excessive unwanted attention
Solution Approach 1:
The system converts the harmful effect of excessive communication requests into a beneficial filtering mechanism. By using the pattern of unwanted requests as a signal of incompatibility, the system automatically filters out profiles that generate excessive nuisance communications, thereby protecting attractive users from harassment while maintaining overall user pool quality
Solution Approach 2:
The system implements feedback loops where communication patterns are monitored and used to adjust matching decisions. When a profile generates excessive unwanted requests, this feedback is used to reduce its visibility or adjust its matching score, preventing the deterioration of user pool quality while maintaining efficient matchmaking for compatible users
Data Source
AI summary
A method for profile matching includes receiving a plurality of user profiles, each user profile comprising traits of a respective user. The method includes receiving a preference indication for a first user profile of the plurality of user profiles. The method also includes determining a potential match user profile of the plurality of user profiles based on the preference indication for the first user profile. The method also includes presenting the potential match user profile to a second user.