Corpus ID: 8671641

Item-Item Music Recommendations With Side Information

  title={Item-Item Music Recommendations With Side Information},
  author={{\"O}zg{\"u}r Demir and A. R. Yakushev and Rany Keddo and Ursula Kallio},
Online music services have tens of millions of tracks. The content itself is broad and covers various musical genres as well as non-musical audio content such as radio plays and podcasts. The sheer scale and diversity of content makes it difficult for a user to find relevant tracks. Relevant recommendations are therefore crucial for a good user experience. Here we present a method to compute track-track similarities using collaborative filtering signals with side information. On a data set from… Expand
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Factorization Machines
  • Steffen Rendle
  • Mathematics, Computer Science
  • 2010 IEEE International Conference on Data Mining
  • 2010
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