An Industrial-strength content-based music recommendation system

Cano Vila, Pedro; Koppenberger, Markus; Wack, Nicolas

doi:http://dx.doi.org/10.1145/1076034.1076185

An Industrial-strength content-based music recommendation system

Citació

Cano P, Koppenberger M, Wack N. An Industrial-strength content-based music recommendation system. In: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval; 2005 Aug 15-19; Salvador, Brazil. New York: ACM; 2005. p. 673. DOI: 10.1145/1076034.1076185

Resum

We 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.