Matchmaking System Using Experience Data Correlation
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Solution Overview
Problem
Current matching services rely primarily on self-reported data and lack integration of users' experiences, such as locations visited and activities completed, which can provide valuable insights for compatibility assessment.
Innovation Solution
A matching system that utilizes a server system to calculate compatibility values by correlating user profiles with data on experiences like places visited and activities completed, incorporating feedback and data from social networking systems to enhance match suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matching services use only self-reported data from surveys, then the system is simple to operate and collect data, but the accuracy and depth of compatibility assessment is limited
Solution Approach 1:
The patent introduces third-party data sources (social networking systems, experience platforms) as intermediaries to provide objective experience data about users. These intermediaries collect and verify user experiences independently, then feed this data to the matching service, improving assessment accuracy without requiring the matching service itself to become more complex in its data collection mechanisms
Solution Approach 2:
The system integrates multiple data collection functions into a unified profile: self-reported survey data, third-party social networking data, and experience platform data all converge to create a comprehensive user profile. This multi-functional approach allows a single system to gather diverse data types through standardized interfaces, improving accuracy while managing complexity through integration
2Measurement precision
If matching services collect comprehensive user experience data from multiple sources, then the compatibility assessment becomes more accurate, but the data processing and correlation complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: profile creation from survey data, experience data import from third-party sources, experience correlation analysis, and compatibility calculation. Each module handles a specific aspect of data processing independently, then results are integrated. This segmentation reduces overall system complexity by breaking down the complex task into manageable, specialized components
Solution Approach 2:
The system uses intermediary processing layers that standardize data from different sources before correlation. Experience data from various third-party sources is normalized and structured through intermediate processing steps, creating a unified format that simplifies the final compatibility correlation while maintaining the benefits of diverse data sources
3Loss of information
If matching services integrate data from social networking systems and experience platforms, then the depth of user profile information increases, but the system requires more complex integrations and data imports
Solution Approach 1:
The system implements universal data import interfaces that can accommodate multiple third-party sources (social networking systems, experience platforms) through standardized protocols. A single integration framework handles diverse data sources by defining common data structures and import routines, reducing the complexity that would otherwise arise from creating separate integration mechanisms for each source type
Solution Approach 2:
The system incorporates feedback mechanisms where imported experience data is continuously correlated with matching outcomes. This feedback loop validates the quality and relevance of imported data, allowing the system to refine its integration approaches and focus on the most valuable data sources, thereby managing integration complexity through data-driven optimization
Data Source
AI summary
The field of the invention relates to systems and methods for operation of a matching service, and more specifically to operation of a matching service utilizing electronic data related to participants' experiences, e.g., locations visited and activities completed. In an embodiment, the system includes a matching server system, operatively coupled to a network, configured to calculate a compatibility value generated from correlating a first user match profile with a second user match profile, such correlation resulting in a potential match if the compatibility value exceeds a predetermined threshold, and at least one user device, operatively coupled to the network, wherein the user device is configured to enable users to post and respond to user experiences. When a second user responds to the posting of the first user, the compatibility value correlating the first user match profile with the second user match profile is increased. The user experiences include at least one of places and activities.