Workshop on Music Recommendation and Discovery

In the last decade digital music has transformed the landscape of music experience and distribution. It is not uncommon to find personal music collections that exceed thousands of tracks, and thanks to the Internet finding and accessing music has become simpler than ever. As a result, music recommendation systems have become an increasingly important way for music listeners to discover and navigate music.

Music is inherently different than other types of media. The space of recommended items is extremely large -compared to other domains- with a typical online music store offering 10 million titles to chose from. People interact with music differently than they do with other types of media. A new song can be auditioned in a matter of minutes whereas a movie may take a couple of hours to watch, and a book may take a dozen hours to read. People enjoy listening to music over and over, but it is the rare book that is read more than once. Listeners vary their music preference based upon context and activities. A playlist for jogging is likely to be very different than a playlist created by the same user for relaxing. Listeners enjoy listening to sequences of songs often getting as much enjoyment from the song transitions as from the songs themselves. The uniqueness of music as recommendation domain present challenges not seen in other recommender domains. It is important to consider the special nature of music when building recommenders for music.

We saw this workshop as a platform where the RecSys, Music Information Retrieval, User Modeling, Music Cognition, and Music Psychology communities could meet, exchange ideas and collaborate.

  • Amélie Anglade
  • Òscar Celma
  • Ben Fields
  • Paul Lamere
  • Brian McFee
Workshop Date

October 23, 2011

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