Episode Content Tailoring for Skipping Repetitive Recaps
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Solution Overview
Problem
Viewing related episode content segments, such as recaps and credits, repeatedly in back-to-back episodes impairs the media experience, making it inefficient for users who have recently watched the previous episode.
Innovation Solution
Determine the relationship between requested and previously viewed episodes based on elapsed time and user preferences to modify or remove previously viewed related content segments, such as recaps and credits, to enhance the viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If related episode content segments (recaps, credits, trailers) are included in each episode, then the episode is complete and self-contained, but the user experience deteriorates when episodes are viewed back-to-back due to repetitive content
Solution Approach 1:
The system dynamically adjusts the episode content by determining the relationship between the requested episode and previously viewed episodes. Based on this relationship analysis, the system selectively removes or modifies related episode content segments (recaps, credits, trailers) to prevent repetition while maintaining episode integrity. This dynamic adaptation resolves the contradiction by making the episode structure flexible rather than static.
Solution Approach 2:
The system changes the parameters of episode delivery by modifying which content segments are included or excluded based on viewing history and temporal relationships. Instead of delivering identical complete episodes each time, the system varies the content composition by removing previously viewed segments, thereby improving user experience while preserving essential episode content.
2Stability of the object's composition
If complete episodes with all related content are provided each time, then the episode maintains its original structure, but time is wasted viewing repetitive segments
Solution Approach 1:
The system extracts and removes specific related episode content segments (recaps, credits, trailers) that have already been viewed by the user. By selectively taking out these repetitive portions while retaining the core episode content, the system reduces viewing time for repetitive material while preserving the essential structure and narrative of the episode.
3Productivity
If related episode content is removed for recently viewed episodes, then viewing efficiency improves, but the episode may become incomplete or lack context
Solution Approach 1:
The system uses feedback from viewing history to intelligently determine which content segments to remove. By analyzing the relationship between the requested episode and previously viewed episodes, the system makes informed decisions about what content can be safely omitted without compromising understanding. This feedback mechanism ensures that episode completeness is maintained while improving viewing efficiency.
Data Source
AI summary
Methods and systems are disclosed for tailoring related episode content within an episode, thereby improving a user's experience. In response to receiving a request for an episode, several factors may be considered when determining how much of the related episode content to provide. These factors may include information such as whether the user has already viewed a previous episode, the elapsed time since viewing the previous episode and a user preference. Related episode content may be modified to remove portions previously viewed by a user, depending on factors such as the elapsed time and a user preference.