Grouping Algorithm for Secure Online Dating Connections
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Solution Overview
Problem
Current online dating methods often result in shallow interactions and unreliable matches due to the reliance on superficial profile browsing and algorithms that fail to facilitate intimate and vulnerable conversations, leading to a lack of meaningful relationships.
Innovation Solution
The DEEPER DATING system combines online and in-person events with a streamlined grouping algorithm, allowing participants to engage in interactive workshops, direct messaging, and forums, focusing on shared interests and values to create more meaningful connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional online dating algorithms are used for matching, then the system can operate automatically with minimal human involvement, but the matching reliability deteriorates due to superficial profile browsing and inability to facilitate intimate conversations
Solution Approach 1:
The patent introduces structured conversation prompts and workshop activities as intermediaries between participants. These prompts serve as mediators that guide interactions toward more meaningful exchanges, preventing superficial browsing while maintaining system-operated matching. The conversation frameworks act as third-party elements that facilitate deeper engagement without requiring full human mediation.
Solution Approach 2:
The system changes the parameters of interaction by transitioning from passive profile viewing to active structured conversations. By modifying the interaction mode parameter from static browsing to dynamic prompted dialogue, the system enables more reliable matching while preserving automated operation. The conversation prompts transform the quality parameter of interactions.
2Quantity of substance
If online dating platforms facilitate many connections, then the quantity of interactions increases, but the depth of communication deteriorates as intimate and vulnerable conversations rarely occur
Solution Approach 1:
The patent segments the interaction process into distinct phases: initial automated matching, structured workshop activities with specific prompts, and progressive self-disclosure stages. By dividing the communication journey into manageable segments with increasing vulnerability requirements, the system maintains high connection quantity while progressively deepening communication quality through controlled exposure of personal information.
Solution Approach 2:
The system implements periodic structured activities and conversation prompts that rhythmically guide participants through layers of self-disclosure. These periodic interventions create opportunities for vulnerable communication at regular intervals, ensuring that as connection quantity increases, opportunities for deep communication are systematically provided rather than lost.
3Loss of time
If a streamlined grouping algorithm is used for breaking up live events into smaller groups, then the computation time decreases and system performance improves, but the precision of group composition may deteriorate
Solution Approach 1:
The patent applies preliminary filtering and categorization of participants based on key compatibility criteria before the main grouping computation. By pre-processing participant data to identify compatible groups based on essential parameters, the system reduces the computational space for the streaming algorithm, maintaining speed while preserving composition precision through advance preparation of compatibility metrics.
Data Source
AI summary
Improved technological solutions are introduced for providing a secure and effective and enhanced clustering/grouping solution that is useful, for example, in an online dating forum as well as any number of other industries. The ability to attend live events in person or remotely is coupled with presence location and automatic verification of user devices and identities. This allows secured communication between participants without having to disclose actual contact information of the participants or their device addresses. An improved algorithm that groups members/items effectively based on a variety of matching criteria, with lowered possibilities of errors and more efficient use of processing power, is now introduced.