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Flytrap: intelligent group music recommendation

Published:13 January 2002Publication History

ABSTRACT

Flytrap is a group music environment that knows its users' musical tastes and can automatically construct a soundtrack that tries to please everyone in the room. The system works by paying attention to what music people listen to on their computers. Users of the system have radio frequency ID badges that let the system know when they are nearby. Using the preference information it has gathered from watching its users, and knowledge of how genres of music interrelate, how artists have influenced each other, and what kinds of transitions between songs people tend to make, the 'virtual DJ' finds a compromise and chooses a song. The system tries to satisfy the tastes of people in the room, but it also makes a playlist that fits its own notion of what should come next. Once it has chosen a song, music is automatically broadcast over the network and played on the closest machine.

References

  1. 1.Coen, M., "Design Principles for Intelligent Environments,' in Proceedings of AAAI '981998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Crossen, A., Budzik, J., and Hammond, K., 'XLibris: An Automated Library Research Assistant,' in Proc.of IUI 2001, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Franklin, D., 'Cooperating with people: The Intelligent Classroom,' in Proc. of AAAI '98, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 5.McCarthy, J., and Anagnost, T., 'MusicFX: An Arbiter of Group Preferences for Computer Supported Collaborative Workouts,' in Proc. of CSCW '98, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Flytrap: intelligent group music recommendation

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            • Published in

              cover image ACM Conferences
              IUI '02: Proceedings of the 7th international conference on Intelligent user interfaces
              January 2002
              253 pages
              ISBN:1581134592
              DOI:10.1145/502716

              Copyright © 2002 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 13 January 2002

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              Acceptance Rates

              IUI '02 Paper Acceptance Rate49of111submissions,44%Overall Acceptance Rate746of2,811submissions,27%

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