Abstract: A method 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 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 indication of whether the first artist identifier matches multiple artist entries in one or more second datasets that are distinct from the first dataset. The method includes determining, based at least in part on the first indication, a probability that the first artist identifier is associated with two or more different real-world artists and determining whether the probability satisfies a predetermined probability condition. The method also includes creating, in response to determining that the probability satisfies the predetermined probability condition, a new artist identifier.

Abstract: 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.

Abstract: 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.

Abstract: A method for estimating artist ambiguity in a dataset is performed at a device with a processor and memory storing instructions for execution by the processor. The method includes applying a statistical classifier to a first dataset including a plurality of media items, wherein each media item is associated with one of a plurality of artist identifiers, each artist identifier identifies a real world artist, and the statistical classifier calculates a respective probability that each respective artist identifier is associated with media items from two or more different real world artists based on a respective feature vector corresponding to the respective artist identifier. The method further includes providing a report of the first dataset, including the calculated probabilities, to a user of the electronic device. Each respective feature vector includes a plurality of features that indicate likelihood of artist ambiguity.

Abstract: A method for estimating artist ambiguity in a dataset is performed at a device with a processor and memory storing instructions for execution by the processor. The method includes applying a statistical classifier to a first dataset including a plurality of media items, wherein each media item is associated with one of a plurality of artist identifiers, each artist identifier identifies a real world artist, and the statistical classifier calculates a respective probability that each respective artist identifier is associated with media items from two or more different real world artists based on a respective feature vector corresponding to the respective artist identifier. The method further includes providing a report of the first dataset, including the calculated probabilities, to a user of the electronic device. Each respective feature vector includes a plurality of features that indicate likelihood of artist ambiguity.