Biometric and Social Data Correlation for E-commerce Problem Identification
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Solution Overview
Problem
E-commerce users often experience issues with purchases that are not directly identified through traditional means, and there is a need to correlate biometric data with social network data to suggest alternative problems and solutions effectively.
Innovation Solution
A computerized method and system that analyzes biometric data from e-commerce users to determine current problems and correlates them with social network data to suggest alternative issues and potential solutions, using a processor to execute program instructions stored on a computer-readable storage medium, enabling real-time identification and recommendation of problem-solving items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional problem identification methods are used, then system complexity is low, but problem detection precision is insufficient
Solution Approach 1:
The system segments problem identification into multiple independent analysis modules: biometric data analysis module, social network data analysis module, and correlation module. Each module processes specific data types independently, then results are integrated to achieve comprehensive problem detection with high precision without overwhelming system complexity
Solution Approach 2:
The patent introduces a correlation module as an intermediary that bridges biometric data and social network data. This intermediary component processes and integrates information from both data sources, enabling accurate problem identification while maintaining clear system architecture and manageable complexity
2Measurement precision
If biometric data analysis is implemented, then problem identification accuracy improves, but data processing time increases
Solution Approach 1:
The system performs preliminary analysis on biometric data by continuously monitoring and establishing baseline patterns before problems occur. This preliminary action enables real-time problem detection with high accuracy while minimizing processing time during actual problem identification, as the heavy lifting is done in advance
Solution Approach 2:
The patent implements partial action by selectively analyzing only relevant biometric parameters based on detected anomalies or user context. Instead of processing all biometric data continuously, the system focuses computational resources on specific parameters that indicate potential problems, reducing overall processing time while maintaining high accuracy
3Adaptability or versatility
If social network data correlation is performed, then solution relevance improves, but information processing complexity increases
Solution Approach 1:
The system applies local quality by tailoring social network data correlation to individual users based on their specific profiles, preferences, and historical behavior patterns. Each user receives customized solution recommendations correlated with their unique social network context, improving solution relevance while processing only relevant information rather than comprehensive data
Data Source
AI summary
Embodiments recognize and solve problems as a function of biometric and social network data, wherein processors are configured to determine that an e-commerce site user is currently experiencing a problem in association with a purchase of an item on the e-commerce site as a function of analyzing biometric data acquired from the user in association with the item purchase. The processors are further configured to correlate the first problem associated with the item purchase to an alternative problem that is associated with the item purchase as a function of social network data of the user; and to suggest the alternative problem to the user as another problem experienced by the user in association with the item purchase.