Personality Analysis System for Relationship Compatibility Prediction
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Solution Overview
Problem
Traditional matchmaking methods rely on limited knowledge and external third-party decisions, conflicting with modern concepts of free choice and independence, and lack effective tools for predicting relationship satisfaction and improving compatibility.
Innovation Solution
The development of systems and methods using statistical and mathematical models to process personality attributes, such as openness, conscientiousness, extraversion, agreeableness, and neuroticism, to predict relationship satisfaction and provide personalized recommendations for improving compatibility through automated computer analysis and user-friendly interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional matchmaking methods using limited human knowledge and experience are used, then personal touch and cultural context are maintained, but prediction accuracy and reliability of relationship satisfaction are insufficient
Solution Approach 1:
The patent replaces traditional human-based matchmaking (mechanical/system of human judgment) with automated computer-based analysis using statistical and mathematical models. This substitution enables processing of vast quantities of personality data and historical relationship information, achieving prediction accuracies of 70-80% for relationship satisfaction while eliminating the limitations of human knowledge and experience.
2Adaptability or versatility
If automated computer analysis using vast data sets is implemented, then prediction accuracy and personalization are improved, but loss of human element and cultural context may occur
Solution Approach 1:
The patent segments the matchmaking process into distinct functional modules: personality assessment modules that evaluate individual traits, compatibility analysis modules that compare personalities, and recommendation modules that suggest improvements. This segmentation allows each module to specialize in specific aspects while working together to provide comprehensive, personalized advice that maintains cultural sensitivity through designed parameters.
Solution Approach 2:
The system introduces computer-based analysis as an intermediary between individuals seeking relationships. This intermediary processes vast quantities of personality data and historical information objectively, providing personalized predictions and recommendations while allowing human users to maintain agency in final decisions, thus preserving the human element while gaining analytical precision.
3Measurement precision
If comprehensive personality analysis using multiple attributes is performed, then compatibility prediction accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-processing and storing personality attributes, relationship outcomes, and compatibility patterns in databases before actual matchmaking queries. Statistical models are pre-trained on historical data, and personality assessments are conducted in advance. When users seek compatibility analysis, the system rapidly retrieves and compares pre-processed data, significantly reducing real-time processing requirements while maintaining comprehensive analysis accuracy.
Data Source
AI summary
A computer-based system and associated processes are disclosed for making personality-related recommendations to an entity. The system receives indications of one or more personality attributes of an entity. The system acquires indications of one or more personality attributes of a desired partner of the entity. The system applies a mathematical model to the one or more personality attributes of the entity and the one or more personality attributes of the desired partner of the entity. The mathematical model calculates one or more recommended changes to the personality attributes of the entity to increase a predicted relationship satisfaction score between the entity and the desired partner. The system selects a recommended action from a database of recommended actions, based at least in part on the recommended changes to the personality attributes of the entity. The system presents the recommended action.