Using Personalized Radio to Enhance Local Music Discovery Douglas R. Turnbull Alexander J. Wolf Abstract Ithaca College Ithaca College We explore the use of personalized radio to facilitate Ithaca NY, 14850 Ithaca NY, 14850 the discovery of music created by local artists. We
[email protected] [email protected] describe a system called MegsRadio.fm that produces a customizable stream of music by both local and well- Justin A. Zupnick Alexander E. Spirgel Cornell University Ithaca College known (non-local) artists based on seed artists, tags, Ithaca NY 14853 Ithaca NY, 14850 venues and/or location. We hypothesize that the more
[email protected] [email protected] popular artists provide context for introducing new music by more obscure local artists. We also suggest Kristofer B. Stensland Stephen P. Meyerhofer that both the easy-to-use and serendipitous nature of Ithaca College Ithaca College the radio model are advantageous when designing a Ithaca NY, 14850 Ithaca NY, 14850 system to help individuals discover new music. Finally,
[email protected] [email protected] we describe an interactive map that features Andrew R. Horwitz Thorsten Joachims personalized event recommendations based on the McGill University Cornell University user’s listening history. Results from a small-scale user Montreal, Quebec, CA Ithaca NY, 14853 study indicate that users are more aware of the local
[email protected] [email protected] music scene after using it, discover relevant local music events, and would recommend the experience to others. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice Author Keywords and the full citation on the first page.