Automatic Content Skipping Using Metadata and User Navigation Feedback
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Solution Overview
Problem
Users of content delivery services face frustration and resource wastage due to frequent incorrect navigation operations during content playback, particularly when skipping ahead, which consumes additional network bandwidth and processing resources.
Innovation Solution
A smart automatic skip mode is implemented using metadata analysis to identify segments to skip based on user behavior and preferences, allowing for automatic navigation adjustments and optimizing content delivery by generating updated manifest files to exclude unwanted segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual navigation operations are used during content playback, then users can control content consumption, but users experience frustration and waste network bandwidth when skipping incorrectly
Solution Approach 1:
The system automatically performs navigation decisions by analyzing user behavior patterns and metadata to identify segments that should be skipped, eliminating the need for manual navigation operations and preventing wasted bandwidth from incorrect skipping
Solution Approach 2:
The system monitors user navigation operations and uses this feedback to learn user preferences, automatically adjusting which segments to skip in order to prevent future incorrect navigation and reduce bandwidth waste
2Ease of operation
If manual navigation operations are used during content playback, then users can control content consumption, but additional navigation operations consume processing resources
Solution Approach 1:
The system pre-analyzes metadata and user behavior patterns before playback to identify segments that should be skipped, so that automatic skipping can occur without requiring additional processing during active navigation operations
Solution Approach 2:
The system autonomously manages navigation by automatically skipping identified segments based on pre-learned user preferences, eliminating the need for users to perform additional navigation operations that would consume processing resources
3Ease of operation
If fixed amount skipping is used, then navigation is simple, but users skip too far ahead and miss relevant content
Solution Approach 1:
The system dynamically adjusts skip decisions based on real-time analysis of user behavior patterns and content metadata, allowing the skip amount and timing to adapt to user preferences while maintaining navigation simplicity
Solution Approach 2:
The system changes the parameters of navigation by using variable skip amounts based on segment importance and user preferences, rather than fixed skip amounts, thereby preventing users from skipping too far ahead while keeping the interface simple
4Productivity
If continuous playback is provided, then all content is delivered, but network bandwidth is wasted on segments users consistently skip
Solution Approach 1:
The system extracts and identifies segments that users consistently skip based on behavior analysis and metadata, then excludes these segments from delivery to save network bandwidth while maintaining continuous playback of relevant content
Solution Approach 2:
The system discards segments that are identified as consistently skipped by users, recovering network bandwidth for delivery of relevant content while maintaining overall content delivery productivity
Data Source
AI summary
Systems and methods are provided for enabling a smart automatic skip mode during playback of a content item. A content item is generated for output at a first time at a computing device, and input associated with navigating the content item is received. Metadata associated with a plurality of segments of the content item is identified and based on the input and the metadata, a segment to skip is identified. The segment to skip is skipped, and the content item is generated for output at a second time.