Ephemeral Voting Matching System for Dating Accuracy
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Solution Overview
Problem
Social media dating applications often fail to provide effective matching due to their minimalistic entry processes, leading to inappropriate matches, as they do not collect sufficient information about user preferences.
Innovation Solution
A computer-implemented method that prompts users to vote on preferences related to activities during an ephemeral time period, generating matches based on common votes and criteria, and enabling communication between matched individuals for a specified time, using a system of client devices and a server with a matching module to facilitate connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a minimalistic entry process is used (collecting only basic information such as age preference, location range and photo), then the ease of operation is improved, but the matching accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting user preference data through voting on activities during an ephemeral time period before generating matches. This advance collection of preference information allows the system to have sufficient data for accurate matching while maintaining a simple entry process, as users only need to vote rather than input extensive information.
Solution Approach 2:
The system enables users to self-express their preferences through voting mechanisms on activities during specific time periods. This self-service approach allows users to provide meaningful preference data without requiring extensive manual input, thereby maintaining ease of operation while improving matching accuracy through collected preference information.
2Measurement precision
If extensive information is collected about user preferences, then the matching accuracy is improved, but the ease of operation deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting user preference data through voting on activities during an ephemeral time period before generating matches. This advance collection of preference information allows the system to have sufficient data for accurate matching while maintaining a simple entry process, as users only need to vote rather than input extensive information.
Solution Approach 2:
The system changes the interaction parameter from extensive manual information input to simple voting on predefined activity options. This parameter change maintains ease of operation by reducing the effort required from users while still collecting sufficient preference data to improve matching accuracy through the voted preferences.
3Measurement precision
If voting on preferences during an ephemeral time period is implemented, then the matching accuracy is improved, but the device complexity increases
Solution Approach 1:
The server implements a universal voting mechanism that serves multiple functions: collecting preference data, determining match compatibility, and enabling communication between matched users. This multi-functional approach improves matching accuracy through collected preferences while avoiding additional complexity by using a single integrated system rather than separate components for each function.
Data Source
AI summary
A computer implemented method includes supplying to a client device prompts for a first individual to provide a vote for a preference of the first individual. The preference relates to an activity during an ephemeral time period. The vote is collected. Matches between the first individual and a pool of individuals are generated based upon common votes and matching criteria. The matches are supplied to the client device. A match acceptance for a second individual is collected from the client device. Network communication is enabled between the first individual and the second individual.