Media Version Replacement Based on User Preference Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media recording systems cannot predict user affinity for specific versions of media assets, leading to suboptimal recording choices.
Innovation Solution
A system and method that replace stored media versions based on user preferences by identifying and comparing characteristics of available versions, such as HD vs. SD, censored vs. uncensored, and with vs. without advertisements, and automatically updating the stored version to match user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a user manually selects a version to record, then the recording process is simple and direct, but the system cannot predict or adapt to user preferences for specific versions
Solution Approach 1:
The system automatically monitors and analyzes user recording behaviors and version selections to build preference profiles without requiring explicit user input. The system serves itself by learning from observed patterns and autonomously making version selection decisions for future recordings based on these learned preferences.
Solution Approach 2:
The system implements a feedback loop where user selections and viewing patterns are continuously monitored, processed to update preference profiles, and then used to improve future version selections. This closed-loop feedback mechanism enables the system to adapt and learn from user behavior over time.
2Adaptability or versatility
If the system stores multiple versions of media assets, then user preference matching improves, but storage space requirements increase
Solution Approach 1:
Instead of uniformly storing all versions for all users, the system applies local quality by storing multiple versions selectively based on individual user preference profiles. Each user's storage allocation is customized to their specific preferences, ensuring that only relevant versions are maintained for each user.
Solution Approach 2:
The system dynamically changes the parameter of version storage based on user preferences. Rather than maintaining a static set of versions, the system adjusts which versions are stored by changing the storage configuration according to learned user preferences, thereby optimizing storage utilization.
3Reliability
If the system automatically replaces stored versions, then user satisfaction improves, but additional processing and monitoring resources are required
Solution Approach 1:
The system performs preliminary actions by pre-building user preference profiles through continuous behavioral analysis before replacement decisions are needed. This advance preparation allows the system to make rapid replacement decisions without requiring intensive real-time processing when a new version becomes available.
Data Source
AI summary
A first version of a media asset may be stored (e.g., recorded). Availability of a second version of the media asset may be determined. A first set of characteristics of the first version of the media asset and a second set of characteristics of the second version of the media asset may be identified, where the first set of characteristics and the second set of characteristics include corresponding characteristics that are different between the first version of the media asset and the second version of the media asset. A determination may be made that the second set of characteristics is preferred by the user over the first set of characteristics, and in response, the first version of the media asset may be replaced with the second version of the media asset.