An Industrial-Strength Content-based Music Recommendation System

TitleAn Industrial-Strength Content-based Music Recommendation System
Publication TypeConference Paper
Year of Publication2005
Conference Name28th Annual International ACM SIGIR Conference
AuthorsCano, P., Koppenberger M., Wack N., G. Mahedero J., Masip J., Celma Ò., Garcia D., Gómez E., Gouyon F., Guaus E., Herrera P., Massaguer J., Ong B., Ramírez M., Streich S., & Serra X.
Conference Start Date15/08/2005
Conference LocationSalvador, Brazil
AbstractWe present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals. Together with efficient similarity metrics, the descriptions allow navigation of multimillion track music collections in a flexible and efficient way without the need of metadata or human ratings.
preprint/postprint documentfiles/publications/3ac0d3-SIGIR05-pcano.pdf