Web Content Surfacing via Search-Triggered Highlight Navigation
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Solution Overview
Problem
Current systems fail to effectively re-surface previously viewed and saved content in a intelligent and useful manner, lacking the ability to automatically navigate to highlighted portions of web pages and provide relevant updates.
Innovation Solution
A computer-implemented method and system that receives user inputs to save and display highlighted web page content, using search queries to surface previously highlighted content, and automatically navigate to last viewed or highlighted sections, with features like automatic bookmarking and version switching between outdated and updated web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually navigate to previously saved web pages, then they can view the content, but it consumes excessive time and computational resources
Solution Approach 1:
The system performs preliminary actions by automatically navigating to and highlighting the most relevant portions of saved web pages before the user views them. When a user accesses a saved page, the system pre-loads the content and automatically scrolls to or highlights the portion that is most likely to be of interest based on the user's previous interaction patterns and the nature of the saved content.
2Loss of information
If the system surfaces all previously viewed content, then users have access to information, but it overwhelms users with irrelevant data
Solution Approach 1:
The system applies local quality by differentiating the presentation of content based on its relevance and importance. Instead of uniformly displaying all saved content, the system highlights specific portions of web pages that are most relevant to the user's current needs, while dimming or minimizing less relevant sections. This creates a differentiated visual hierarchy that guides user attention to the most valuable information.
3Ease of operation
If the system automatically highlights relevant content portions, then user experience improves, but the system requires advanced content analysis capabilities
Solution Approach 1:
The system employs feedback mechanisms by analyzing user interaction patterns with highlighted content and using this information to improve future highlighting decisions. When users interact with highlighted portions (such as clicking, copying, or spending time viewing), the system feeds this information back into its analysis model to refine its understanding of what constitutes relevant content for different users and contexts.
4Reliability
If the system provides version switching between outdated and updated web pages, then users can access historical content, but it increases system complexity
Solution Approach 1:
The system applies dynamics by making the version presentation adaptive rather than static. The interface dynamically adjusts based on the user's actions and the nature of the content. When users access saved web pages, the system automatically detects version differences and dynamically presents them in a comparative view, allowing users to switch between versions through simple gestures or clicks, rather than requiring complex manual version management.
Data Source
AI summary
A computer-implemented method is disclosed for saving content. The method can include receiving, by one or more computing devices from a user at a first time, a first user input directed to a portion of a web page; receiving, by the one or more computing devices at a second time after the first time, a second user input describing a search query, and providing for display, by the one or more computing devices, data describing the portion of the web page in response to receiving the second user input.