User Rating Based Data Stream Summary Generation
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Solution Overview
Problem
Existing systems for generating summaries of data streams are often optimized for specific types of content, limiting their versatility and user personalization.
Innovation Solution
A method that collects user ratings for data stream segments and generates summaries based on these ratings, allowing for personalized content inclusion and community-specific summaries, with features like threshold-based selection and user-defined criteria, and includes links to the original content for efficient transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If content-specific summary systems are used, then summary generation performance is optimized for specific content types, but versatility across different content types deteriorates
Solution Approach 1:
The patent applies universality by creating a summary generation system that works across multiple content types (news, sports, entertainment, etc.) through a unified approach. Instead of content-specific systems, the invention uses general user rating collection and processing mechanisms that can handle any data stream type, making the system multi-functional and adaptable to diverse content while maintaining high summary generation performance across all types.
2Adaptability or versatility
If user participation is required for summary generation, then summary personalization improves, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling users to directly participate in summary generation through simple rating mechanisms (thumbs up/down, star ratings). Users actively provide feedback on content segments they find interesting or important, and the system automatically processes these ratings to generate personalized summaries. This approach simplifies the interaction model while achieving high personalization, avoiding complex automated content analysis systems.
3Measurement precision
If comprehensive user rating collection is implemented, then summary accuracy improves, but data transmission requirements increase
Solution Approach 1:
The patent applies extraction by selectively gathering only the essential rating information from users rather than transmitting complete content data. The system extracts user preferences through simplified rating inputs (up/down votes, star ratings) and processes only these meta-data to generate summaries. This approach maintains high summary accuracy by capturing user intent while dramatically reducing data transmission requirements compared to transmitting full content streams for analysis.
Data Source
AI summary
A summary of a data stream, comprising a plurality of segments, is generated. A data stream, comprising a plurality of segments, is transmitted to a plurality of users (step 300). Ratings in respect of at least one of the plurality of segments of the data stream are collected from a plurality of users (step 306). This enables a summary of the data stream to be generated on the basis of the collected ratings (step 308).