Content Abridgement Using User Activity and Preference Signals
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Solution Overview
Problem
Users often lack the time or awareness to consume all instances of their preferred content and struggle to access it efficiently.
Innovation Solution
A system comprising a user device and a set-top box equipped with AI/ML-powered content activity monitoring, preference engines, and search engines to identify and condense content based on user preferences, generating a condensed content data set for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users consume all instances of their preferred content, then content coverage is improved, but time consumption increases significantly
Solution Approach 1:
The patent extracts and identifies only the most relevant portions of content based on user preferences and activity patterns. The content recommendation system separates essential content from non-essential content, presenting only the extracted high-value portions to users, thereby reducing time consumption while maintaining content coverage quality.
Solution Approach 2:
The system changes the parameter of content selection from comprehensive quantity to relevance quality. By analyzing user activity patterns and preferences, the system dynamically adjusts which content portions are presented, transforming the approach from consuming all content instances to consuming only the most relevant instances based on multiple parameters including user behavior, content characteristics, and availability.
2Quantity of substance
If users access all preferred content, then content completeness is improved, but accessibility decreases due to time constraints
Solution Approach 1:
The content recommendation system operates autonomously by automatically monitoring user activity, analyzing preferences, and generating personalized content recommendations without requiring active user search or selection. This self-service approach improves accessibility by eliminating the time and effort users would otherwise need to invest in finding and accessing their preferred content.
Solution Approach 2:
The system performs preliminary analysis of user preferences and content availability in advance, preparing personalized content recommendations before users need them. This preliminary action ensures that when users access the system, relevant content is already identified and ready for immediate consumption, thereby improving accessibility while maintaining content completeness.
3Measurement precision
If comprehensive content monitoring is implemented, then user preference accuracy is improved, but system complexity increases
Solution Approach 1:
The content recommendation system is segmented into distinct functional modules: user activity monitoring, preference analysis, content selection, and recommendation generation. Each module performs a specific function with well-defined inputs and outputs, reducing overall system complexity while enabling comprehensive content monitoring and accurate preference measurement through specialized processing in each segment.
Data Source
AI summary
A user device instantiates a content-activity monitoring application (“CAMA”) which monitors a user interface to detect the user content activity with respect to the given content; determines a first content portion of the given content corresponding with the detection of the user content activity; determines a content characteristic of the first content portion of the given content; and generates user content activity data that identifies the user content activity and the first content portion of the given content. A STB instantiates an abridgement engine which receives the user content activity data generated by the CAMA and generates user content relationship data based on a correspondence of the user content activity with the content characteristic of the first content portion of the given content. Based on the user content relationship data, the STB generates a condensed content data set for output to the user device and presentation to the given user.