Profile Matching System Aggregating External User Data
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Solution Overview
Problem
Current matching systems face challenges such as limited user pools, inefficiencies in search processes, and high costs for users, as well as irrelevant and excessive communication requests, which deter users from finding compatible matches.
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 dynamically updating search results and incorporating user activity, explicit, and implicit criteria from social networking systems to enhance match quality and reduce restrictive preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users register in multiple matching services to access broader user pools, 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 diverse user pools without registering for multiple separate services, eliminating redundant registration processes and centralized the monitoring function in one location.
Solution Approach 2:
The matching service is designed to perform multiple functions: it aggregates profiles from different sources, applies multiple matching algorithms simultaneously, and provides a unified interface for users. This multi-functional approach replaces the need for users to engage with multiple specialized services.
2Productivity
If matching services search within their own platform only, then the matching process is simple and fast, but the user pool is limited and match quality decreases
Solution Approach 1:
The system introduces an intermediary layer that aggregates user profiles from multiple external platforms and services. This intermediary layer allows the matching algorithm to access a broader user pool without requiring direct integration with each external platform, maintaining matching speed while expanding accessibility.
Solution Approach 2:
The patent expands the search space by adding another dimension to the user pool aggregation. Instead of searching within a single platform's two-dimensional space, the system accesses multi-dimensional user pools from multiple sources, increasing variety while maintaining efficient search through centralized processing.
3Reliability
If the system presents many search results to users, then the likelihood of finding a good match increases, but irrelevant results increase user burden and deter continuation
Solution Approach 1:
The system dynamically adjusts matching parameters and thresholds based on user feedback and behavior patterns. By changing the parameters of the matching algorithm in real-time, the system optimizes the balance between presenting diverse options and filtering out irrelevant results, reducing user burden while maintaining match quality.
Solution Approach 2:
The matching service incorporates feedback loops where user interactions with presented profiles (views, likes, rejections) are used to refine future match recommendations. This feedback mechanism allows the system to learn user preferences and improve result relevance over time, reducing the number of irrelevant presentations while maintaining high-quality matches.
4Ease of manufacture
If users with attractive profiles receive more communication requests, then their visibility increases, but they receive excessive unwanted requests that may cause them to leave the system
Solution Approach 1:
The system monitors communication patterns and user responses to adjust the distribution of visibility and communication requests. When a user receives excessive requests or shows signs of distress, the feedback mechanism modulates their profile exposure and request distribution to maintain a healthy balance, preventing user burnout while preserving visibility for engaged 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.