Unified Media Recommendation Aggregation System
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Solution Overview
Problem
Users face difficulties in efficiently identifying and accessing content they would enjoy due to the proliferation of content providers, with existing recommendation systems being time-intensive and overwhelming, especially when trying to find new and upcoming content.
Innovation Solution
A system and method for recommending concept clusters of media assets by searching across multiple content providers, refining recommendations based on user profiles, social media interactions, and media asset metadata, and presenting them through notifications or watchlists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users access each individual content provider to review recommended content, then they can identify content they will likely enjoy, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent combines recommendation lists from multiple content providers into a single unified interface. The system aggregates recommended content from different providers, removes duplicates, and presents a consolidated view to the user, eliminating the need to separately access each provider's recommendation system while maintaining comprehensive content discovery capabilities
2Reliability
If users regularly monitor each content provider's offerings, then they remain aware of new and upcoming content, but the process becomes overwhelming and time-intensive
Solution Approach 1:
The system performs preliminary aggregation and filtering of content offerings from multiple providers before presenting them to the user. By pre-processing recommendation lists, removing duplicates, and organizing content in advance, the system reduces the complexity of monitoring multiple providers while ensuring users receive comprehensive updates about new and upcoming content
3Adaptability or versatility
If recommendation systems compile lists from multiple content providers, then users have more content options, but the task of reviewing and selecting content becomes more difficult
Solution Approach 1:
The system extracts and removes duplicate content entries that appear across multiple content providers' recommendation lists. By identifying and eliminating redundant recommendations while preserving unique content options, the system maintains broad content selection flexibility while reducing the overall volume of content users need to review, thereby improving ease of operation
Data Source
AI summary
In some aspects, control circuitry may detect a social media interaction associated with a user. Control circuitry may then identify a symbol associated with the interaction, map the symbol to first media asset metadata, and identify a set of media asset metadata. Control circuitry may further compare the identified media asset metadata to a set of attributes of the user's profile, and identifying second media asset metadata and a first field of the second media asset metadata from the set of media asset metadata that matches attributes of the set of attributes of the user's profile. Control circuitry may then search databases to identify collections of media asset for recommendation to the user by identifying media assets that include the second media asset metadata in a field corresponding to the first field. Lastly, control circuitry may perform an action to provide the user with access to the collection.