Event Group Matching System With Dynamic Composition Parameters
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Solution Overview
Problem
Conventional social networking platforms are limited in matching users for both romantic and platonic relationships, lack flexibility in group size and composition, and do not allow users to invite friends outside the platform or specify event parameters like age and gender, making it difficult to form event groups for attending events together.
Innovation Solution
A computer-implemented method that receives user profiles, event profiles, and event group parameters, allowing users to create and join event groups based on specified criteria, enabling the selection of group members, and facilitating communication among group members before events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional social networking platforms match users one-on-one or in fixed-size groups, then the matching process is simple, but users cannot specify group size, composition, or invite friends outside the platform
Solution Approach 1:
The system segments the user base into event creators and event participants, with further segmentation within participants into invited friends and matched users. This allows different matching mechanisms to operate at different levels, providing flexibility without overwhelming complexity.
Solution Approach 2:
The event group structure is made dynamic, allowing the creator to specify variable parameters such as group size, age range, gender composition, and skill requirements. These parameters can be adjusted based on event needs, enabling adaptable group formation without fixed constraints.
2Reliability
If organic methods are used to meet people, then interactions are more genuine, but the process is time-consuming and unpredictable
Solution Approach 1:
The system performs preliminary actions by pre-matching users based on compatibility algorithms before the event occurs. Users receive curated lists of potential companions with shared interests and compatible profiles, eliminating the need for spontaneous organic meeting attempts and reducing time investment while maintaining interaction quality.
Solution Approach 2:
The platform acts as an intermediary that facilitates introductions between compatible users. Rather than relying on direct organic encounters, the system mediates connections through algorithmic matching, providing a structured yet genuine interaction pathway that saves time while preserving authenticity.
3Adaptability or versatility
If conventional platforms specialize in romantic or platonic relationships, then the matching is focused, but they do not accommodate both types of relationship goals
Solution Approach 1:
The platform is designed with universal functionality to support multiple relationship types simultaneously. Event creators can specify whether they are seeking romantic partners, platonic friends, activity companions, or professional connections. The matching system adapts to these diverse goals without requiring separate specialized platforms, preserving all user preference information across relationship types.
Solution Approach 2:
The system uses parameter changes to adapt to different relationship goals. By adjusting matching criteria parameters such as compatibility weights, communication features, and group dynamics based on the declared relationship type, the platform provides focused matching for each goal while accommodating all types within a single system.
4Quantity of substance
If group matching is used, then more people can be connected, but users cannot invite friends outside the platform or specify event parameters
Solution Approach 1:
The event creator performs self-service by directly inviting friends outside the platform using their own contact information. The system provides tools for managing these external invitations alongside platform user invitations, allowing the creator to control group composition without restriction while the platform handles the technical integration of both internal and external participants.
Data Source
AI summary
Computer-implemented methods for matching users to attend events together. The methods include receiving a plurality of user profiles, receiving an event profile comprising details of an event, and receiving a request to create an event group. The method further includes receiving event group parameters, which include gender and age requirements for participation in the event group. Additional steps include creating an event group, identifying qualified users from the plurality of user profiles received, and creating and publishing an event group notice. The method includes receiving event group membership requests and selecting group members for the event group from the qualified users who submitted group membership requests.