Browser Cognitive Engine for Web Page Subject Organization
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Solution Overview
Problem
Current web browsers lack efficient methods for quickly finding target web pages among numerous open pages and effectively managing resource usage, leading to a suboptimal user experience and inefficient resource management.
Innovation Solution
A cognitive engine extracts time series data from user browsing history to identify and organize web pages based on subject hierarchy and timeline, highlighting important interactions and recommending closure of less important pages to free computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually manage numerous open web pages, then they can access multiple resources, but it becomes difficult to quickly find target pages and manage resources efficiently
Solution Approach 1:
The patent segments web pages into different groups based on subject matter and temporal relationships. Pages are organized into hierarchical categories with visual indicators showing their relationships, allowing users to quickly locate target pages without manually searching through all open tabs. This segmentation resolves the contradiction by maintaining multiple open pages while making them easily manageable through automated categorization.
Solution Approach 2:
The system automatically analyzes user browsing behavior patterns and autonomously organizes pages into subject-based groups and timelines without requiring manual user input. The cognitive engine self-manages the organization task by detecting interactions and generating hierarchical structures, freeing users from the burden of manual page management while improving browsing efficiency.
2Adaptability or versatility
If the browser keeps many web pages open for easy access, then resource availability increases, but computational load and memory usage increase
Solution Approach 1:
The patent extracts and prioritizes important web pages based on analyzed browsing patterns and subject hierarchy. By identifying and highlighting key pages within each subject group, the system allows users to focus on essential resources while potentially closing less important pages. This extraction approach maintains access to critical resources while reducing overall computational load by managing the number of actively maintained pages.
Solution Approach 2:
The system dynamically changes the organization parameters of web pages based on detected browsing behaviors and subject relationships. Pages are reorganized into hierarchical structures with varying levels of importance, allowing the browser to optimize resource allocation by maintaining high-priority pages while managing lower-priority ones differently, thus balancing resource accessibility with computational efficiency.
3Ease of operation
If the browser provides detailed organization of all web pages, then finding target pages becomes easier, but the interface complexity increases
Solution Approach 1:
The patent applies different organizational qualities to different groups of pages based on their subject matter and importance. Each subject group receives customized organization treatment with visual indicators appropriate to its context, rather than applying a uniform complex structure to all pages. This local quality approach simplifies the overall interface by providing targeted organizational details only where needed, improving page location speed without uniformly increasing interface complexity.
Data Source
AI summary
In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.