Media Item Matching via Search Query Analysis
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Solution Overview
Problem
Content delivery platforms face challenges in accurately identifying and managing media items that match a reference media item, particularly when users transform or circumvent content analysis by altering the media item, leading to inefficiencies in detection and manual tracking limitations.
Innovation Solution
The method employs search query analysis to identify matching media items by analyzing non-content based signals, such as search query history, to detect media items removed due to removal requests, and provides additional matching items to the media owner for action, reducing false negatives and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content analysis is used to identify matching media items, then detection capability is improved, but users can transform or circumvent content analysis by altering the media item, leading to false negatives
Solution Approach 1:
The patent transitions from content-based detection (analyzing media item content directly) to metadata-based detection (analyzing search queries, titles, descriptions, and other non-content attributes). This dimensional shift allows identification of matching items even when content has been transformed, as the metadata signals remain consistent across related media items.
Solution Approach 2:
The patent introduces search queries as an intermediary element that connects reference media items with potentially matching transformed items. Instead of directly comparing transformed content, the system uses search queries as a mediator to identify relationships between media items based on how users search for and discover them.
2Reliability
If manual tracking is used to identify matching media items, then detection reliability is improved, but efficiency deteriorates due to manual tracking limitations
Solution Approach 1:
The system automatically collects and analyzes search query data, media item metadata, and user interaction patterns without requiring manual intervention. The platform self-generates the detection signals through normal user search and viewing behavior, eliminating the need for manual tracking while maintaining reliability.
Solution Approach 2:
The system continuously monitors search queries, view counts, and user interactions to provide feedback signals that indicate potential matching media items. This automated feedback loop enables real-time detection and identification of transformed content without manual oversight.
3Measurement precision
If comprehensive content analysis is performed on all media items, then detection accuracy is improved, but computing resources are consumed inefficiently
Solution Approach 1:
The patent extracts and analyzes only the necessary metadata signals (search queries, titles, descriptions, view counts) rather than performing comprehensive content analysis on all media items. This selective extraction of key identification signals reduces computing resource consumption while maintaining detection accuracy.
Solution Approach 2:
The system performs partial analysis by focusing on non-content metadata attributes that are sufficient for identifying transformed media items. Instead of analyzing all aspects of media item content, the system applies targeted analysis to search queries and metadata, achieving effective detection with reduced computational effort.
4Reliability
If multiple operations are performed to manage large media sets, then detection completeness is improved, but user input requirements increase
Solution Approach 1:
The system automatically manages large sets of media items by autonomously collecting search query data, analyzing metadata, identifying matching items, and presenting results to users. This self-service approach eliminates the need for users to manually perform multiple detection operations, reducing input requirements while maintaining comprehensive detection.
Data Source
AI summary
A system and method are disclosed for media item matching using search query analysis. In an implementation, the method includes identifying, by a processing device, a first media item that has been removed from a media hosting platform due to a removal request associated with a reference media item of a first media owner; identifying, by the processing device, a search query corresponding to the first media item based on a history of search queries, wherein a search result of the search query included the first media item; obtaining, by the processing device, one or more additional media items included in the search result of the search query; and providing the one or more additional media items to the first media owner to determine whether to initiate one or more actions regarding the one or more additional media items.