Context-Based Content Filtering Across User Devices
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Solution Overview
Problem
Existing technologies fail to provide automatic context-based filtering of content or services across multiple devices, neglecting user location and proximity, and do not account for sensitive information revelation based on user context.
Innovation Solution
A system that monitors user context information from a second device and filters requested services or content on a first device based on predefined criteria, enhancing user experience by tailoring content delivery regardless of the accessing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If context-based filtering is implemented across multiple devices, then user experience and content security are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent introduces a context server as an intermediary component that centralizes context information storage and filtering logic. This mediator receives context information from various devices, processes filtering rules, and returns filtered content, thereby distributing system complexity away from individual devices and users while maintaining robust context-based filtering across the entire system
Solution Approach 2:
The context server is designed as a universal platform that handles multiple functions: storing context information from different devices, processing various filtering rules, managing user profiles, and serving multiple users simultaneously. This multi-functional design consolidates what would otherwise require separate implementations on each device, reducing overall system complexity while improving content security
2Measurement precision
If automatic context monitoring is implemented, then content filtering accuracy is improved, but user privacy concerns and implementation difficulty increase
Solution Approach 1:
User devices automatically monitor and report their own context information (location, device type, network environment) to the context server without requiring manual configuration or user intervention. This self-service approach enables accurate automatic context monitoring while simplifying implementation, as the monitoring capability is built into each device and operates autonomously
Solution Approach 2:
The context server acts as an intermediary that receives, standardizes, and processes context information from multiple devices. It handles the complexity of context data aggregation, validation, and interpretation, allowing individual devices to implement simple monitoring functions while achieving high context accuracy through centralized processing
3Manufacturing precision
If device-specific filtering configurations are required, then filtering precision is improved, but user convenience and system adaptability decrease
Solution Approach 1:
The context server implements a universal filtering system that maintains precise filtering rules while adapting to multiple device types and contexts. It dynamically selects and applies appropriate filtering rules based on the user's current device, location, and situation, thereby achieving both filtering precision and cross-device adaptability through a single unified platform
Solution Approach 2:
The filtering system is designed to be dynamic, automatically adjusting which filtering rules are applied based on real-time context information. The system can switch between different filtering configurations depending on the device being used, user location, time of day, or other contextual factors, maintaining precision while adapting seamlessly to different scenarios without requiring manual reconfiguration
Data Source
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AI summary
An apparatus comprising means for enabling the apparatus to perform, at least: receiving context information of a mobile device of a user, wherein the context information comprises at least one of: information about one or more applications on the mobile device of the user; information about one or more individuals in the user's presence; or information about one or more devices proximate to the mobile device of the user; and providing, to a web terminal of the user, one or more services or content based on the received context information.