Webpage Key Point Extraction for Accurate Browser Summaries
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Solution Overview
Problem
Current solutions for summarizing web content, such as hand-crafted headlines and editorially created summaries, often fail to provide accurate and comprehensive overviews of webpages, especially for text-heavy content, leading to users quickly switching between tabs without fully engaging with the information.
Innovation Solution
A machine learning-based system that automatically identifies key points from webpages using a neural network model to map sentences into distributed representations, model contextual interactions, and predict important sentence spans, presenting these key points in a sidebar for quick user reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hand-crafted headlines or editorially created summaries are used, then the summarization process is simple to implement, but the accuracy and comprehensiveness of the summary is insufficient
Solution Approach 1:
The patent replaces manual mechanical summarization processes with an automated machine learning-based system. The neural network model automatically processes webpage content, identifies key points, and generates summaries, eliminating the need for manual editorial creation while achieving higher accuracy and comprehensiveness in summarization.
Solution Approach 2:
The patent employs machine learning models that dynamically adjust summarization parameters based on the input webpage content. The system adapts to different content types, lengths, and complexities, automatically optimizing summary generation parameters to achieve high accuracy without requiring manual intervention or fixed complex rules.
2Productivity
If users quickly move between webpages without reading content, then the browsing speed is high, but the information engagement is insufficient
Solution Approach 1:
The patent generates webpage summaries in advance before the user needs to read the full content. By pre-processing the webpage content and extracting key points automatically, the system provides users with a condensed overview that enables quick decision-making about whether to engage with the full content, thus maintaining high browsing speed while reducing information loss.
Solution Approach 2:
The patent extracts only the most important information from each webpage and presents it as a condensed summary in the side pane. This extraction approach allows users to quickly access key information without having to read the entire webpage, thereby maintaining high browsing efficiency while ensuring that essential information is not lost.
3Reliability
If automated machine learning models are used to generate summaries, then the summary accuracy and comprehensiveness is improved, but the system complexity and computational resources required increase
Solution Approach 1:
The patent implements a self-service system where the machine learning model automatically processes webpages without requiring manual intervention. The system self-regulates by adapting to different content types and automatically adjusting its processing parameters, thereby achieving high reliability summaries while minimizing the need for complex manual configuration or oversight.
Data Source
AI summary
The present disclosure relates to systems and methods for identifying webpage key points for a webpage. The systems and methods present the webpage key points in a side pane of a browser adjacent to the webpage.