Aggregating User Highlights for Content Prominence
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Solution Overview
Problem
Current technologies limit users to viewing content with only their own highlight information, failing to aggregate and present highlights from multiple users effectively, which restricts the ability to collectively identify important or relevant content.
Innovation Solution
A system and method that aggregates highlight information from multiple users, assigning prominence based on combined user input, using scoring systems and reputation weighting, to display content with varying levels of prominence, allowing for collective highlighting across users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If highlight information from multiple users is aggregated and presented with varying prominence, then the ability to collectively identify important content is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that receives, aggregates, and manages highlight information from multiple users. The server computes prominence scores based on aggregated highlights and returns the annotated content to requesting clients, thereby centralizing the complex aggregation logic and isolating it from client devices. This mediator approach resolves the contradiction by handling the information aggregation needs while keeping client-side complexity low.
2Measurement precision
If prominence data is computed based on aggregated highlight information from multiple users, then the relevance of highlighted content is improved, but the computational effort and processing time increase
Solution Approach 1:
The system performs preliminary aggregation of highlight information by maintaining a running count of how many users have highlighted each content item. When a user submits highlights, the server immediately updates the aggregation statistics without waiting for all users to contribute. This preliminary computation allows the system to provide progressively accurate prominence scores, reducing the time needed to achieve meaningful relevance measurements.
Solution Approach 2:
The patent implements a mechanism where prominence data is computed based on partial aggregation - using the highlights available from the subset of users who have already contributed, rather than waiting for complete aggregation from all potential users. This partial action approach provides timely relevance information while avoiding the excessive processing time that would result from waiting for full aggregation, thus resolving the contradiction between measurement precision and processing time.
3Ease of operation
If users can view content with aggregated highlights from other users, then the user experience is improved, but the amount of data to be processed and transmitted increases
Solution Approach 1:
The patent extracts only the essential aggregation statistics (prominence scores and highlight counts) from the full set of user highlight data, rather than transmitting all individual user annotations. The server computes condensed prominence data that represents the collective highlighting behavior and transmits only this summarized information to clients. This extraction approach maintains enhanced user experience through aggregated highlights while minimizing the data volume that needs to be processed and transmitted.
Data Source
AI summary
Highlighting of content is aggregated across a plurality of users, thus enabling the content to be presented with highlights that represent the collective highlighting of the users. Highlighted content may be presented to the users with varying levels of prominence. Accordingly, depending on the aggregated highlight information, some content may be presented with a highlight that is more or less prominent than highlighting for other content. Prominence data associated with highlighted content may include a score indicative of a strength of the highlight for the highlighted content. A score indicating a stronger highlight causes the highlight to be presented with greater prominence. The score may be incremented, possibly on a weighted bases, to represent the combined highlighting of different users. Highlights may assume many different forms, including visual forms (such as colors, lines, borders, fonts, icons, etc.), audio forms and tactile forms.