Media Asset Re-recording via Popularity Threshold Monitoring
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Solution Overview
Problem
Traditional content delivery systems discard unpopular content without considering its potential for future popularity, making it difficult for users to identify and re-record media assets that have regained popularity.
Innovation Solution
The system monitors and re-records media assets that were previously selected for deletion due to low popularity but now exceed a second threshold, using a combination of automated and manual processes, including user notifications and scheduling, to re-record content that has regained popularity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional systems discard unpopular content to free up storage space, then storage efficiency is improved, but content availability for re-emerged popularity deteriorates
Solution Approach 1:
The system discards unpopular content from active storage to free up space, then recovers it when popularity re-emerges by monitoring popularity metrics and re-recording content that exceeds the second threshold. This resolves the contradiction by implementing a cyclical discard-recover mechanism that adapts to changing content popularity.
Solution Approach 2:
The system performs preliminary monitoring of popularity metrics for discarded content and maintains the ability to re-record when popularity thresholds are met. This preliminary preparation ensures content can be quickly recovered when needed, balancing storage efficiency with content availability.
2Device complexity
If traditional systems discard unpopular content, then storage management is simplified, but user access to re-popular content deteriorates
Solution Approach 1:
The system implements feedback loops that monitor popularity metrics for discarded content and automatically trigger re-recording when the second threshold is exceeded. This automated feedback mechanism simplifies storage management while ensuring user access to re-popular content without manual intervention.
Solution Approach 2:
The system performs self-service by automatically monitoring popularity metrics and re-recording content based on predefined thresholds, eliminating the need for complex manual storage management while maintaining ease of user access to re-popular content.
3Adaptability or versatility
If the system monitors and re-records all content regardless of popularity, then content availability is improved, but storage efficiency deteriorates
Solution Approach 1:
The system applies different quality levels of content retention based on local popularity characteristics. Content that exceeds the second threshold is re-recorded with high priority, while other discarded content remains unavailable. This localized quality approach ensures content availability for popular content while maintaining storage efficiency.
Solution Approach 2:
The system uses parameter changes in the form of popularity thresholds (first threshold for deletion, second threshold for re-recording) to dynamically control content availability and storage usage. This parameter-based control resolves the contradiction by allowing content availability only when popularity parameters indicate demand.
4Productivity
If the system uses automated processes for re-recording, then productivity is improved, but system complexity deteriorates
Solution Approach 1:
The system performs self-service by automatically monitoring popularity metrics and triggering re-recording operations without manual intervention. This automation improves productivity while the standardized automated process keeps system complexity manageable through consistent threshold-based decision-making.
Data Source
AI summary
Systems and methods for re-recording content associated with popularity that re-emerged are provided. A plurality of media assets is recorded. Responsive to determining that popularity of a given one of the plurality of media assets fell below a first threshold, the given media asset is selected for deletion and the given media asset is added to a list of a plurality of media assets that have been selected for deletion. Popularity for the given media asset in the list is retrieved after selecting the given media asset for deletion. The retrieved popularity of the given media asset, which previously fell below the first threshold, is compared to a second threshold. In response to determining that the retrieved popularity of the given media asset, which previously fell below the first threshold, is now above the second threshold, an action relating to re-recording the given media asset is performed.


