Commitment Disposition Matching for Social Apps
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Solution Overview
Problem
Current social media dating applications often result in inappropriate matches due to their minimalistic approach, requiring only basic information, which does not effectively establish suitable connections between individuals based on commitment disposition.
Innovation Solution
A computer-implemented method that collects matching criteria including commitment disposition through user prompts on a client device, using a slider bar to specify intentions from 'Mr. Right' to 'Mr. Right Now', and enables network communication upon mutual acceptance, employing machine learning and collaborative filtering to generate matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a minimalistic approach is used requiring only basic information, then the ease of operation is improved, but the reliability of matches deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing commitment disposition information during the profile creation phase, before matching occurs. This allows the system to pre-filter and pre-rank potential matches based on compatibility, so that when users browse matches, the results are already optimized for reliability without requiring extensive additional input at match time.
Solution Approach 2:
The patent introduces commitment disposition as an intermediary criterion that mediates between basic user information and match compatibility. This intermediary metric translates subjective relationship intentions into an objective measurable parameter that the system can use to automatically filter and rank matches, improving reliability without requiring users to provide extensive detailed information.
2Reliability
If extensive information is required from users, then the reliability of matches is improved, but the ease of operation deteriorates
Solution Approach 1:
The system extracts only the critical commitment disposition information from the full set of possible user profile data. Rather than requiring extensive information, the system identifies and collects specifically the relationship intention metric, which is sufficient for improving match reliability. This extraction approach maintains ease of operation by limiting input requirements to essential elements only.
Solution Approach 2:
The patent changes the parameter being measured from extensive demographic and personal information to a focused commitment disposition parameter. By transforming the matching criterion from multiple detailed attributes to a single key parameter representing relationship intentions, the system achieves improved reliability through better quality data while maintaining ease of operation through simplified collection.
3Reliability
If commitment disposition criteria are added to matching, then the quality of matches is improved, but the device complexity increases
Solution Approach 1:
The system changes the matching parameter from basic demographic attributes to commitment disposition, which can be represented as a simple numeric or categorical value indicating relationship intentions. This parameter change improves match quality by focusing on compatibility of relationship goals, while the simplicity of the parameter representation (compared to complex multi-dimensional profiling) helps manage device complexity.
Solution Approach 2:
The system performs preliminary analysis of commitment disposition during profile setup and stores pre-computed compatibility scores. This preliminary action allows the complex matching logic to be executed once during profile creation, rather than repeatedly during browsing, thereby improving match quality through thorough analysis while reducing the complexity burden during user interaction phases.
Data Source
AI summary
A computer implemented method includes supplying to a client device prompts for a first individual to specify matching criteria for a potential introduction to a second individual, where the matching criteria includes criterion to specify commitment disposition. Matching criteria is collected. Matches between the first individual and a pool of individuals are generated based upon the matching criteria. The matches are supplied to the client device. Match acceptances are collected from the client device. Network communication is enabled between the first individual and the second individual in response to a match between the first individual and the second individual and a match acceptance by at least one of the first individual and the second individual.