Flytrap: Intelligent group music recommendation

Andrew Crossen*, Jay Budzik, Kristian J Hammond

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

109 Scopus citations

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.

Original languageEnglish (US)
Pages184-185
Number of pages2
StatePublished - Jan 1 2002
Event2002 International Conference on intelligent User Interfaces (IUI 02) - San Francisca, CA, United States
Duration: Jan 13 2002Jan 16 2002

Other

Other2002 International Conference on intelligent User Interfaces (IUI 02)
CountryUnited States
CitySan Francisca, CA
Period1/13/021/16/02

Keywords

  • Audio spaces
  • Intelligent environments
  • Ubiquitous computing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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