Web Preference Inference from Mobile Device Changes
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Solution Overview
Problem
Users of online services must manually configure preferences for web pages, which is inefficient and does not adapt to changes in user behavior or location, leading to a suboptimal user experience.
Innovation Solution
An online service system identifies changes in a user's mobile device, such as location or language settings, and automatically modifies web page preferences without user input, providing location-specific, language-adapted content and optimizing settings like display brightness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually configure web page preferences, then user control and customization are maintained, but user effort and time consumption increase
Solution Approach 1:
The system automatically infers user preferences and modifies web page settings without requiring manual user input. The server monitors user activities on the social networking website and autonomously configures web page parameters such as brightness, language, and content preferences based on observed behavior patterns, thereby eliminating manual configuration effort while maintaining personalized settings
Solution Approach 2:
The system continuously monitors user activities and uses this feedback to dynamically adjust web page preferences. By tracking user interactions, time spent on different content types, and device usage patterns, the system adapts preferences in real-time, reducing the need for manual reconfiguration while ensuring settings remain optimized for user needs
2Adaptability or versatility
If web page preferences are manually configured, then initial setup is possible, but adaptation to changing user behavior and location is limited
Solution Approach 1:
The system transforms static manual preferences into dynamic automatically-adjusting settings. By continuously monitoring user activities including location changes, time of day, and interaction patterns, the system dynamically modifies web page preferences to adapt to changing user behavior and environmental context without requiring user reconfiguration
Solution Approach 2:
The system autonomously detects changes in user behavior and automatically adjusts preferences accordingly. When the server observes changes in user activities such as new location patterns or shifted usage times, it independently modifies web page settings to match the updated behavior patterns, enabling continuous adaptation without user intervention
3Reliability
If the system automatically modifies web page preferences, then user experience is enhanced through personalization, but system complexity increases
Solution Approach 1:
The server acts as an intermediary between user activities and web page preferences. Rather than requiring direct user configuration or complex client-side logic, the server monitors user behavior and automatically translates observed patterns into appropriate preference settings, simplifying the overall system architecture while enabling sophisticated personalization
Solution Approach 2:
The server performs multiple functions including social networking service delivery, user activity monitoring, preference inference, and automatic web page configuration. By consolidating these functions in a single centralized system, the patent avoids the complexity of distributed preference management across multiple components while maintaining comprehensive personalization capabilities
Data Source
AI summary
In one embodiment, a server providing an on-line service identifies a change associated with a mobile computing device of a user of the on-line service, the on-line service being accessible to the user through a website hosted by the system; the server also in response to the change and without manual user input from the user, modifies aspects of web pages of the website that are associated with use of the on-line service by the user.