Inproceedings,

Mining Music Playlogs for Next Song Recommendations

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Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)

Abstract

Recommender systems are popular social web tools, because they can address information overload and provide personalization of results rec05. This paper presents a collaborative approach to music playlist recommendation in a large scale scenario. We show that a simple markov-chain based algorithm improves performance compared to baseline models when neither content, nor user metadata is available. The lack of content-based features makes this task particularly hard.

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