IPTV Favorites List Cleanup via Server-Side Error Feedback
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Solution Overview
Problem
Users of IPTV systems face inconvenience due to outdated or erroneous assets in favorites or recently-viewed lists, which can lead to error messages and require manual removal, affecting user experience and system integrity.
Innovation Solution
A method and system for automatically updating favorites and recently-viewed lists by identifying and removing bad assets through error reporting and server-side filtering, ensuring that only valid assets are displayed based on user permissions and service availability, with user control over the cleaning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual removal of bad assets is implemented, then user control is maintained, but user convenience deteriorates and time is lost
Solution Approach 1:
The system automatically detects and removes bad assets from favorites and recently-viewed lists without requiring user intervention. The content playback device reports errors to the server, which then automatically updates user lists to remove problematic assets, allowing the system to service itself rather than requiring manual user action.
Solution Approach 2:
The system proactively identifies and removes bad assets before users encounter them. By monitoring asset availability and preemptively cleaning lists, the system prevents error messages from appearing and eliminates the need for users to manually remove bad assets later.
2Ease of operation
If automatic removal of bad assets is implemented, then user convenience is improved, but system complexity increases
Solution Approach 1:
The content playback device reports playback errors to the server, creating a feedback loop. The server receives error information about bad assets, processes this feedback, and automatically updates user lists to remove problematic assets. This feedback mechanism enables automatic maintenance without complex user interfaces.
Solution Approach 2:
The server acts as an intermediary between the content playback device and user lists. Rather than requiring direct user action or complex device-side logic, the server mediates the process by receiving error reports, determining which assets are bad, and automatically updating lists across the system.
3Measurement precision
If error reporting is implemented, then asset accuracy is improved, but information loss occurs due to bad assets
Solution Approach 1:
The system dynamically updates asset status based on playback performance. Assets are not statically marked as good or bad, but their status changes based on real-time feedback from content playback devices. This dynamic approach ensures that only currently problematic assets are removed, preserving valid assets while eliminating bad ones.
Data Source
AI summary
Systems and methods for creating and employing software to handle the playback of media, especially video, in browsers that, in addition to or instead of playing the media in the browser, may use second display protocols to instruct a separate display device to play the media. In one implementation, the software may be in the form of a web or other application. In particular, systems and methods are provided that describe ways to clean up bad assets from favorites or recently-viewed lists. In one implementation, systems and methods are provided that use an erroneous asset report from one user to fix other users' associated lists. In another implementation, the systems and methods employ data about defunct services, both local and global, to remove assets from those services from one or more user lists.