Virtual Matching Through Structured Profiles and Identity Checks
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Solution Overview
Problem
Existing online social platforms lack accurate and comprehensive user profiles, leading to inefficient matching of like-minded individuals, wasting computing resources and posing risks due to insufficient identity verification.
Innovation Solution
A system and method that generates comprehensive user profiles using GPS location data and social media activity to predict interests, verifies identities through external databases, and establishes secure communication channels based on similarity scores, reducing resource wastage and enhancing matching accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive user profiles are generated using multiple data sources, then matching accuracy is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments user profile data into multiple structured categories (demographics, interests, availability, location) that can be independently collected, verified, and processed. This segmentation allows comprehensive profiling while maintaining manageable system complexity through modular data handling.
Solution Approach 2:
The patent introduces an intermediary verification system that uses external databases and AI techniques to validate user information without requiring direct complex interactions between users. This intermediary layer simplifies the overall system by centralizing verification functions and reducing the complexity of user-to-user validation.
2Reliability
If identity verification is performed using multiple verification techniques, then connection safety is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs identity verification as a preliminary action before establishing user connections. By verifying identities in advance through multiple techniques (government ID verification, background checks, social media validation), the system ensures connection safety while allowing faster subsequent matching operations.
Solution Approach 2:
The verification system incorporates self-service elements where users can pre-verify certain aspects of their identity (such as linking verified social media accounts or uploading identification documents) before needing to connect with others. This reduces the verification time required during actual matching operations.
3Measurement precision
If AI techniques are used to compare user information and determine similarity scores, then matching precision is improved, but energy consumption and computational resources increase
Solution Approach 1:
The AI comparison process focuses on local quality by analyzing specific relevant features of user profiles (interests, availability, location) rather than processing entire profile datasets. This selective analysis improves matching precision while reducing the computational energy required compared to holistic profile comparisons.
Solution Approach 2:
The system dynamically adjusts similarity threshold parameters based on user preferences and connection types. By changing these parameters, the system can optimize the balance between matching precision and computational energy consumption, allowing coarser matching for low-stakes connections and finer matching for significant relationships.
4Adaptability or versatility
If users are matched based on comprehensive profile information including location and availability, then connection relevance is improved, but data privacy risks increase
Solution Approach 1:
The system uses encrypted communication channels and intermediary verification services to handle sensitive user data. Location and availability information are processed through secure intermediaries that verify the data without exposing raw personal information, thereby maintaining connection relevance while mitigating privacy risks.
Solution Approach 2:
The patent implements an inert cryptographic environment where user data is encrypted and processed in a way that prevents unauthorized access or exposure. Sensitive information such as exact location and availability schedules are handled within secure computational environments that isolate them from potential privacy breaches.
Data Source
AI summary
A system and method for virtually connecting individuals seeking to make more meaningful connections with other individuals based upon the use of more accurate and comprehensive user profile information. The system and method is particularly useful for virtually connecting individuals based upon their likes, dislikes and other social media profile activity, wherein connections are established in a safe manner using encrypted communication