Media Recording Priority Adjustment via Search Behavior Analysis
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Solution Overview
Problem
Existing media recording systems fail to accurately reflect users' changing interests and behaviors over time, leading to inefficient resource allocation and storage issues as scheduled recordings do not adapt to shifting user preferences.
Innovation Solution
The system adjusts recording priorities of media assets based on user search behavior and program guide data, generating a preference level and matching score to automatically update recording priorities, ensuring that media assets better align with current user interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses static priorities assigned by users or based on initial viewing history, then the recording schedule is simple to manage, but the system cannot adapt to changing user interests over time
Solution Approach 1:
The system automatically monitors user search behavior and adjusts recording priorities without requiring manual user intervention. The control circuitry retrieves search data, generates preference levels, and modifies priorities autonomously, allowing the system to serve itself in adapting to changing user interests.
Solution Approach 2:
The system continuously monitors user search behavior as feedback and uses this information to dynamically adjust recording priorities. By retrieving search data and analyzing it against current recording schedules, the system creates a closed-loop feedback mechanism that adapts priorities based on actual user preferences.
2Reliability
If the system records a wide variety of shows to cover diverse user interests, then user satisfaction is maintained, but storage resources are wasted on shows that are no longer of interest
Solution Approach 1:
The system changes the priority parameter of recorded shows based on analyzed user search behavior. By dynamically adjusting priority levels according to current user interests, the system ensures important shows are recorded while reducing or eliminating recordings of shows that are no longer relevant, optimizing both user satisfaction and storage utilization.
3Measurement precision
If the system manually updates priorities for each media asset, then recording priorities accurately reflect user preferences, but the user burden increases significantly
Solution Approach 1:
The system performs automatic priority adjustment based on search behavior analysis without requiring manual user input for each media asset. The control circuitry autonomously retrieves search data, calculates preference levels, and updates priorities, eliminating the burden of manual updates while maintaining accurate preference measurement.
Solution Approach 2:
The system replaces manual mechanical priority adjustment with an automated electronic system that analyzes search behavior data. Instead of users manually setting priorities, the control circuitry uses algorithmic processing of search data to automatically determine and apply appropriate priority levels.
Data Source
AI summary
Systems and methods are described herein for adjusting the priority of media assets scheduled to be recorded to reflect the current behavior and interests of the user. For example, a household with young children may have scheduled recordings for the DVR with a wide variety of television shows of different genres (e.g., Children's Shows, Sports Games, and Crime Procedurals) and as the children grow up, the preference may gradually shift towards other types of shows. As this shift of interest happens over time, it can be difficult or impossible for the user to change the priority of each of the media assets of the scheduled recordings each time the interests of the user changes an incremental amount.