Context Analyzer for Anonymous User Data Collection
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Solution Overview
Problem
Current context-aware service systems invade user privacy by collecting and retaining personal information, and they struggle to collect and manage user context across various service providers without limitations.
Innovation Solution
A method and apparatus that utilize a context analyzer and a device profile database to collect and analyze user context using IP addresses and device aliases, allowing for anonymous data collection and management without invading user privacy, enabling continuous context analysis even when IP addresses change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal information is collected and retained to provide context-aware services, then service quality and user experience are improved, but user privacy is invaded
Solution Approach 1:
The patent extracts only the necessary contextual information (service usage history, activity patterns) from user data while excluding personally identifiable information. The context analyzer collects service usage information without retaining personal identifiers, thus providing context-aware services while protecting user privacy.
Solution Approach 2:
The patent introduces a context analyzer as an intermediary component that processes user service usage information. This intermediary analyzes service patterns and generates context information without directly accessing or retaining personal user data, thereby mediating between service quality requirements and privacy protection.
2Measurement precision
If service providers collect user context information across different services, then context-aware service accuracy is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal context analyzer that can analyze multiple types of service usage information across different service providers. This single multi-functional component handles various service types (messaging, browsing, media playback) uniformly, improving context analysis accuracy while avoiding the complexity of multiple specialized systems.
Solution Approach 2:
The patent merges the context analysis functionality into a centralized context analyzer that consolidates service usage information from multiple sources. By combining data collection, analysis, and context generation into a single integrated system, the patent improves accuracy while managing system complexity through unified architecture.
Data Source
AI summary
The present invention relates to a system configuration and an apparatus for preventing the infringement of user privacy, and for collecting and analyzing information regardless of the service feature and type, while a system providing a context aware service collects and analyzes user information. The present invention discloses a method of configuring and using a context analyzer and a device profile database in order for the system providing the context aware service to collect and analyze information regardless of the service feature and type.