Highlight Analysis System for Digital Content Redundancy Reduction
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Solution Overview
Problem
The overwhelming quantity and redundancy of user highlights in digital content shared among users can overwhelm the user, decreasing the apparent value of the content and making it difficult to discern relevant information.
Innovation Solution
A system that analyzes user highlights to determine popular highlights by generating position scores and rankings, removing overlapping or adjacent highlights, and presenting a selected subset to users, thereby decluttering the data and emphasizing relevant passages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all user highlights are presented to users, then the completeness of information is improved, but the user experience deteriorates due to overwhelming quantity and redundancy
Solution Approach 1:
The patent extracts and removes overlapping or redundant highlights from the complete set of user highlights. The system identifies highlights that overlap in position or content and selectively removes them, retaining only the most relevant or popular ones. This extraction process maintains the essential information while eliminating the overwhelming redundancy that degrades user experience.
Solution Approach 2:
The patent changes the parameter of highlight selection from presenting all highlights to presenting a filtered subset based on popularity metrics. The system transforms the complete set of highlights into a curated collection by applying popularity thresholds and overlap detection, thereby changing the quantity and quality parameters of the presented information to optimize user experience.
2Loss of information
If a large number of user highlights are shared, then the wisdom of the crowds effect is improved, but the relevance of individual highlights deteriorates due to redundancy and variations
Solution Approach 1:
The patent merges multiple overlapping or similar highlights into a single representative highlight. When multiple users highlight the same or overlapping portions of content, the system combines these into one consolidated highlight, attributing it to the community or popular users. This merging process preserves the collective wisdom while eliminating the redundancy that dilutes the perceived relevance of individual highlights.
Solution Approach 2:
The patent creates a canonical version of popular highlights that can be copied and presented to multiple users. Instead of presenting each user's individual highlight separately, the system generates a standardized representation of the popular highlight that captures the essential information from multiple sources, thereby maintaining the wisdom of crowds effect while improving the clarity and relevance of the presented information.
3Measurement precision
If overlapping highlights are removed, then the clarity of relevant information is improved, but the quantity of presented highlights deteriorates
Solution Approach 1:
The patent applies partial action by selectively removing only the overlapping portion of highlights rather than eliminating entire highlights. When highlights overlap, the system removes only the redundant segments while preserving the unique portions of each highlight. This approach maintains the quantity of useful information while improving clarity by eliminating only the excessive redundant parts.
Data Source
AI summary
Highlights from a community of users highlighting portions of an electronic digital content are analyzed and popular highlights determined. The popular highlights are then distributed to the users.