Song Clustering Using Peer-to-Peer Co-Occurrences

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Executive Summary

Peer-to-peer (p2p) content sharing networks are commonly used by millions of users for sharing music files, often performed by artists even before becoming mainstream. In such networks, as well as modern web 2.0 services, users with similar musical taste often share similar files. This results in songs that have similar properties to be shared together by many users, where the higher the number of song co-occurrences in different users, the stronger is the indication of a tight relationship between these songs. In this paper, the authors leverage this feature and propose methods for detecting these "Natural" clusters of similar songs.

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