Artist Identifier Disambiguation via Statistical Classification
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Solution Overview
Problem
Ambiguity in artist identifiers in media content catalogs leads to user confusion, as different artists with the same name are often mistakenly associated with the same identifier, making it difficult for users to locate specific tracks or artists, and reducing visibility for real-world artists.
Innovation Solution
The implementation of statistical methods using feature vectors and classifiers, such as logistic regression and naïve Bayes classifiers, to determine the likelihood of artist identifier ambiguity, flagging potentially ambiguous identifiers for manual review and correcting associations using supplemental databases to create new identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the same unique artist identifier is applied to all tracks associated with the same artist name, then the content catalog is simplified and easier to manage, but tracks from multiple different artists with the same name are mistakenly associated together causing user confusion
Solution Approach 1:
The patent segments the content catalog by introducing a disambiguation layer that separates tracks associated with different real-world artists who share the same name. It creates distinct artist identifier groups (e.g., Artist A, Artist B) for each real-world artist, while maintaining the common name as a separate metadata field. This segmentation resolves the confusion caused by unified identifiers while preserving catalog manageability.
2Reliability
If manual review is performed on every artist identifier to ensure accuracy, then artist identifier ambiguity is eliminated, but the process becomes infeasible given the large number of artists in the database
Solution Approach 1:
The patent applies preliminary action by automatically analyzing artist name characteristics (such as name length, commonality, and occurrence frequency) before manual review is needed. This preliminary analysis identifies high-risk artist identifiers that are likely to be ambiguous, allowing the system to prioritize manual review only for those cases rather than reviewing all artist identifiers equally.
Solution Approach 2:
The system performs self-service by automatically detecting and flagging potentially ambiguous artist identifiers through statistical analysis of name patterns and catalog data. This self-detection mechanism reduces the burden on manual reviewers by pre-filtering cases that require human judgment, making the overall process scalable to large databases.
3Stability of the object's composition
If ambiguous artist identifiers are not corrected, then the content catalog remains stable and requires minimal maintenance, but search results become confusing and user experience deteriorates
Solution Approach 1:
The patent introduces an intermediary disambiguation layer between the artist name metadata and the unique artist identifier. This intermediary layer provides contextual information (such as country of origin, language, or other distinguishing features) that helps users and systems distinguish between different real-world artists with the same name, improving search experience without requiring fundamental changes to the catalog structure.
Data Source
AI summary
A method of recognizing artist ambiguity is performed at a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The method includes generating a feature vector that represents a first artist identifier of a plurality of artist identifiers in a first dataset. The feature vector includes a first feature indicating whether the first artist identifier matches multiple artist entries in one or more second datasets that are distinct from the first dataset. The method also includes determining, based at least in part on the first feature of the feature vector, a probability that the first artist identifier is associated with two or more different real-world artists, and providing a report that specifies the first artist identifier as potentially ambiguous in accordance with a determination that the probability satisfies a predetermined condition.