Dating Recommendation Platform Using Sensor Data Anonymization
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Solution Overview
Problem
Existing dating recommendation systems face challenges in guaranteeing the reliability of user data, particularly for offline preferences, which can lead to inaccurate matchmaking.
Innovation Solution
A dating recommendation platform that generates personal preference data in real-time and outputs it as image data, using a first server to analyze user data from external devices and a second server to anonymize and visualize this data, ensuring reliable and accurate matchmaking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the dating recommendation system collects third information (personality and life patterns) online and offline, then the comprehensiveness of user data is improved, but the reliability of the collected information deteriorates
Solution Approach 1:
The patent introduces an intermediary device (electronic device with sensors and processors) that objectively captures user behavior data instead of relying on direct user input. This intermediary automatically collects third information such as location, activity patterns, and social interactions, transforming subjective self-reporting into objective measured data, thereby resolving the reliability issue while maintaining comprehensiveness
Solution Approach 2:
The patent replaces the manual/mechanical process of users self-reporting personal information with an automated electronic system that uses sensors, processors, and algorithms to objectively capture and analyze user behavior. This substitution of mechanical self-reporting with electronic measurement systems eliminates the reliability problems associated with subjective user input while preserving comprehensive data collection
2Measurement precision
If the system collects and analyzes extensive user data in real-time, then the accuracy of personal preference data is improved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the complex data processing task into distinct functional modules: a first server that collects and stores raw user data, and a second server that performs analysis and generates personal preference data. This segmentation distributes computational complexity across multiple specialized components, enabling accurate real-time processing while managing system complexity through modular architecture
Solution Approach 2:
The patent implements preliminary data processing and filtering at the data collection stage, where the first server organizes and pre-processes raw user data before it reaches the analysis server. This preliminary action reduces the complexity of subsequent analysis operations by ensuring data is already structured and ready for specific analysis tasks, thereby maintaining accuracy while reducing overall processing complexity
Data Source
AI summary
Disclosed is a dating recommendation platform including a first server that receives first data and second data from an external electronic device, generates time-series data including characteristic data generated for each period in response to the first data and the second data by analyzing the second data, and generates personal preference data by performing classifications from the first to the seventh based on the time-series data, and a second server that receives the personal preference data from the first server, anonymizes the first data included in the personal preference data, generates image data based on the anonymized personal preference data, and outputs the generated image data to the external electronic device. The characteristic data includes information about at least one of an action, an emotion, a place, a speech, a movement, and a circumstance of a user.