An Industrial-strength content-based music recommendation system

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dc.contributor.author	Cano, Pedro
dc.contributor.author	Koppenberger, Markus
dc.contributor.author	Wack, Nicolas
dc.date	2005
dc.identifier.citation	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
dc.identifier.citation	1-59593-034-5
dc.identifier.citation	http://dx.doi.org/10.1145/1076034.1076185
dc.identifier.uri	http://hdl.handle.net/10230/34024
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	ACM Association for Computer Machinery
dc.relation	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.
dc.relation	info:eu-repo/grantAgreement/EC/FP6/507142
dc.rights	© 2005 Association for Computing Machinery
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Music content management
dc.subject	Music information retrieval
dc.subject	Content-based audio retrieval
dc.subject	Music recommendation
dc.title	An Industrial-strength content-based music recommendation system
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/acceptedVersion
dc.description.abstract	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.
dc.description.abstract	This work is partially funded by the European Union to the SIMAC IST-FP6-507142 project (http://www.semanticaudio.org).

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