Flytrap: Intelligent group music recommendation

Andrew Crossen*, Jay Budzik, Kristian J Hammond

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

145 Scopus citations


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)
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


Other2002 International Conference on intelligent User Interfaces (IUI 02)
Country/TerritoryUnited States
CitySan Francisca, CA


  • Audio spaces
  • Intelligent environments
  • Ubiquitous computing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


Dive into the research topics of 'Flytrap: Intelligent group music recommendation'. Together they form a unique fingerprint.

Cite this