Adaptive Web Content Summarization for Mobile Display Constraints
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Solution Overview
Problem
Mobile devices with smaller display screens face challenges in efficiently displaying vast amounts of web-based content, as users lack the time or patience to sift through extensive information.
Innovation Solution
A summarization engine is developed to generate a summary of web-based content based on a target summary length, adaptable according to the user device's display capabilities, using natural language analysis and feature extraction processes to select and combine sentence structures for efficient display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If web-based content is displayed in full detail, then information completeness is improved, but display space efficiency deteriorates
Solution Approach 1:
The system extracts only the most essential information from web content to create summaries. The summarization engine identifies and extracts key sentences or phrases that capture the main ideas, removing redundant or less important information. This allows the essential content to be displayed within limited mobile screen space while maintaining information completeness for the most important aspects.
Solution Approach 2:
The web content is segmented into hierarchical levels: full content, summarized content, and key point extracts. The system divides the information into manageable segments that can be progressively displayed based on user needs and available display space. This segmentation allows users to access detailed information when needed while viewing condensed versions during normal browsing.
2Measurement precision
If users review all web content, then information accuracy is improved, but time consumption increases
Solution Approach 1:
The summarization engine performs preliminary analysis and processing of web content before the user views it. By pre-identifying key information, main ideas, and essential points, the system prepares condensed versions of content in advance. This preliminary action allows users to quickly grasp the essence of content without having to read through entire articles, significantly reducing time consumption while maintaining access to accurate information when needed.
Solution Approach 2:
The system introduces an intermediary summarization layer between the full web content and the user. This intermediary process analyzes the content, identifies important information, and creates intermediate summary versions that preserve accuracy while reducing volume. Users can rely on this intermediary summary for quick understanding while maintaining the option to access the full content for complete verification.
3Loss of information
If summary length is increased, then information completeness is improved, but adaptability to different devices deteriorates
Solution Approach 1:
The summarization system dynamically adjusts summary length and detail level based on the characteristics of the target device. The engine detects device type, screen size, and display capabilities, then automatically adapts the summary generation parameters. For mobile devices with limited space, more condensed summaries are produced, while larger screens receive more detailed summaries. This dynamic adaptation ensures optimal information completeness for each device type without manual intervention.
Solution Approach 2:
The system changes key parameters of the summarization process based on device characteristics. Parameters such as target summary length, sentence count, detail level, and compression ratio are adjusted according to the receiving device's capabilities. This parameter adaptation allows the same summarization engine to produce appropriately sized summaries for various devices, from compact mobile screens to larger tablets and desktop displays, maintaining both completeness and adaptability.
Data Source
AI summary
Systems, methods, and apparatuses are disclosed for adaptively generating a summary of web-based content based on an attribute of a mobile communication device having transmitted a request for the web-based content. By adaptively generating the summary based on an attribute of the mobile communication device such as an amount of visual space available or a number of characters permitted in the interface, a display of the web-based content may be controlled on the mobile communication device in a way that was not previously available. This enables control of displaying web-based content that has been adaptively generated to be displayed on limited display screens based on a learned attribute of the mobile communication device requesting the web-based content.