Contextual Media Asset Sequencing for Complete Viewing Plans
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Solution Overview
Problem
Consumers face the challenge of manually searching for contextually related media assets to create a logical viewing plan, risking the miss of crucial plot points if not done correctly.
Innovation Solution
Systems and methods automatically arrange contextually related media assets by determining user constraints and generating recommendations based on a user's viewing history and preferences, ensuring media assets are accessed in the correct order before a requested asset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consumers manually search for contextually related media assets from different sources, then they can create a viewing plan, but it requires significant time and effort, and they may still miss crucial plot points
Solution Approach 1:
The system automatically performs the search and arrangement tasks that would otherwise require manual consumer effort. The media asset management system autonomously identifies contextually related assets, checks viewing status, and creates the viewing plan without requiring the consumer to manually search or organize assets.
Solution Approach 2:
The system acts as an intermediary between the consumer and the multiple media sources. It consolidates information from different sources, determines availability and viewing status, and presents a unified viewing plan, eliminating the need for the consumer to manually query and synthesize information from multiple sources.
2Ease of operation
If the system automatically arranges media assets, then viewing plan creation is simplified, but the system complexity increases
Solution Approach 1:
The media asset management system performs multiple functions within a single integrated platform: it tracks viewing status across different assets, searches for contextually related assets, checks availability at multiple sources, determines optimal viewing order, and presents recommendations. This consolidates what would otherwise require multiple separate tools into one universal system.
Solution Approach 2:
The system continuously monitors viewing status and uses this feedback to dynamically update and refine viewing recommendations. By tracking what has been viewed and what remains, the system adapts its suggestions to ensure completeness while maintaining simplicity for the end user.
3Reliability
If the system searches across multiple sources for contextually related assets, then comprehensive coverage is achieved, but the search and processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-identifying and indexing contextually related media assets and their availability across sources before a viewing request is made. This advance preparation allows the system to quickly retrieve and process information when needed, rather than performing comprehensive searches from scratch each time.
Solution Approach 2:
The system segments the search and processing task into manageable components: identifying contextually related assets, checking viewing status, verifying availability at different sources, and determining optimal viewing order. This segmentation allows parallel processing and efficient resource allocation, improving overall productivity while maintaining comprehensive coverage.
Data Source
AI summary
Systems and methods are provided herein for automatically arranging media assets that are contextually related to a requested media asset for access prior to a start time of the requested media asset. In some embodiments, user input circuitry may receive a user request to access a media asset. Control circuitry may identify, by consulting a database, a first set of media assets that share a context with the requested media asset and were released prior to the release date of the requested media asset. Control circuitry may determine a subset of media assets of the first set of media assets by performing a comparison of each media asset of the first set of the media assets against a viewing history of the user. Control circuitry may access a user profile to determine a user constraint, and generate a recommendation for display based on a first aspect of the user constraint.