Highlight Management System for Digital Content Annotation
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Solution Overview
Problem
The increasing volume of user annotations on digital content, such as eBooks, becomes unwieldy due to the large number of users accessing and sharing highlights, making it difficult to manage and utilize these annotations effectively.
Innovation Solution
A system that generates and displays 'popular highlights' and 'highlight match indicators' by calculating position scores for user highlights, allowing users to access and manage their own highlights as well as community annotations, and enabling the generation of 'personal highlights' from popular ones, with features like highlight match indicators and configuration options for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users share highlights in an online community, then user interaction and feedback are enhanced, but the volume of annotations becomes unwieldy and difficult to manage
Solution Approach 1:
The patent extracts and separates popular highlights from the overall set of user annotations. By identifying and isolating the most relevant annotations (those with highest position scores and overlap counts), the system presents a manageable subset to users, reducing the complexity of annotation management while preserving the benefits of community interaction.
Solution Approach 2:
The patent changes the parameter of annotation selection from treating all annotations equally to ranking them by position scores and overlap counts. This parameter transformation allows the system to manage the large volume of annotations by prioritizing and displaying only the most significant ones, thereby reducing management complexity while enhancing interaction quality.
2Loss of information
If all user highlights are displayed, then complete community feedback is provided, but the content becomes cluttered and hard to navigate
Solution Approach 1:
The patent segments the large set of user annotations into distinct categories: popular highlights (those with high position scores and overlap counts) and other annotations. This segmentation allows the system to display popular highlights prominently for easy navigation while still providing access to complete community feedback through the ability to view all annotations if needed.
Solution Approach 2:
The patent applies local quality by giving different display priorities to different annotations based on their popularity metrics. Popular highlights receive enhanced visibility and positioning, while less popular annotations are available but not prominently displayed. This local differentiation maintains ease of navigation by highlighting the most relevant content while preserving access to complete feedback.
3Measurement precision
If position scores are calculated for all highlight points, then accurate popular highlight identification is achieved, but computational resources are consumed
Solution Approach 1:
The patent applies partial action by calculating position scores selectively rather than for all possible highlight points. The system focuses computational resources on calculating scores for highlights that are likely to be popular (those with higher overlap counts), thereby achieving accurate ranking of popular highlights while consuming fewer computational resources.
Solution Approach 2:
The patent performs preliminary filtering of annotations before calculating position scores. By first identifying annotations with high overlap counts and then calculating position scores only for these candidates, the system achieves accurate popular highlight identification while minimizing computational energy consumption through pre-screening.
Data Source
AI summary
A popular highlight may be presented to a user who wishes to make the popular highlight a personal user highlight. Upon activation of a control, a personal user highlight is generated from the popular highlight. The user may then manipulate the resulting personal user highlight as they would any other user highlight.


