Proxy Media Content Item for Real-Time Recommendation
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Solution Overview
Problem
Media content providers face challenges in recommending new media content to users without waiting for user consumption data, as existing methods rely on listening history which may not be available for newly received content items.
Innovation Solution
A method that identifies a proxy media content item from a library based on similarity criteria, allowing for the determination of related media content items without requiring user consumption data, by analyzing characteristics and user listening patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system waits for user consumption data to generate recommendations, then the recommendation accuracy based on listening history is improved, but the response time and availability of new content recommendations deteriorate
Solution Approach 1:
The system performs preliminary action by selecting a proxy media content item from the library before the new content is consumed by users. The proxy item is chosen based on similarity criteria (acoustic characteristics, genre, tempo) so that when users listen to the new content, the system can immediately provide recommendations based on the proxy item's data, eliminating the need to wait for actual consumption history.
Solution Approach 2:
The patent introduces a proxy media content item as an intermediary between the new content and the recommendation system. This proxy acts as a mediator that has similar characteristics to the new content but is already present in the library with available data, allowing the system to generate recommendations without waiting for user consumption of the new content.
2Quantity of substance
If the system analyzes all content items in the library to find similar content, then the completeness of related content discovery is improved, but the processing power and computational complexity increase
Solution Approach 1:
Instead of analyzing all content items uniformly, the system applies local quality by selecting only those content items that meet specific similarity criteria (acoustic characteristics, genre, tempo) when choosing the proxy item. This targeted approach reduces the effective search space while maintaining discovery completeness for relevant content.
Solution Approach 2:
The system changes parameters such as acoustic characteristics, genre, and tempo to create a filtered subset of content items that are similar to the new content. By transforming the search based on these parameter changes, the system reduces processing complexity while maintaining comprehensive discovery within the relevant content space.
Data Source
AI summary
A server system receives an indication of a media content item from a device and determines a first set of values that correspond to characteristics of the indicated content item. The server system analyzes a defined set of content items to identify a proxy media content item. The identified proxy media content item has a second set of values that meets similarity criteria for the first set of values. The server system determines, based on analysis of a plurality of sets of media content items, a result set of one or more media content items that are related to the proxy media content item. The server system provides information associated with the result set of media content items to the device of the user.