Automated Friend Finder Using Private Profile Matching
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Solution Overview
Problem
Public profiles on online platforms often contain limited and deceptive information, making it inefficient for individuals to find others with similar interests.
Innovation Solution
A system that automatically generates private profiles based on private data, compares them to find matches, and notifies individuals without revealing the matching criteria, using a processor, memory, and display device or computer-readable storage medium to perform these operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If public profiles are used for matching individuals, then the system is simple and transparent, but the information is limited and often deceptive resulting in poor matching quality
Solution Approach 1:
The patent introduces a private profile as an intermediary between the user's public persona and the matching system. This private profile contains authentic personal data that is not publicly visible, serving as a mediator that provides reliable matching information without exposing private details to the public domain or requiring users to manually curate public profiles
Solution Approach 2:
The system performs preliminary actions by automatically collecting and organizing authentic personal data into private profiles before the matching process begins. This pre-processing of data ensures that accurate information is ready for matching without requiring users to manually create or update public profiles, thereby improving reliability while managing complexity through automation
2Productivity
If manual profile creation is required, then users have control over their information, but the process consumes significant time and energy with disappointing results
Solution Approach 1:
The system implements self-service by automatically collecting personal data from various sources and generating private profiles without user intervention. The matching process then operates autonomously on these profiles, eliminating the need for users to manually create profiles or search for matches, thereby dramatically improving productivity while minimizing time loss
Solution Approach 2:
The patent replaces the mechanical process of manual profile creation and searching with an automated computational system. The system uses algorithms to collect data, generate profiles, perform comparisons, and identify matches, substituting human manual effort with automated mechanical processes that are both faster and more efficient
3Reliability
If private data is used for matching, then more accurate connections are achieved, but the system complexity increases due to data privacy and security requirements
Solution Approach 1:
The patent segments user data into two distinct parts: public profiles that are visible to others and private profiles that contain authentic personal data used for matching. This segmentation allows the system to use reliable private data for accurate matching while maintaining privacy and security, managing complexity by clearly separating data types and their purposes
Data Source
AI summary
Disclosed are methods and apparatus for automatically connecting individuals. A private profile of an individual may be automatically generated. The private profile of the individual may be automatically compared with private profiles of a set of individuals such that one or more of the set of individuals are identified as matches for the individual, wherein the private profile of the individual includes private data and each of the private profiles of the set of individuals includes private data. The private profile of the individual is not publicly available to other individuals that have access to a public profile of the individual. The individual may be automatically notified that the individual has been matched with the one or more individuals, thereby enabling the individual to initiate communication with the one or more individuals. The similarities between the private profile of the individual and the private profiles of the one or more individuals are not revealed to the individual or the one or more individuals.


