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Taking advantage of editorial metadata to recommend music

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dc.contributor.author Bogdanov, Dmitry
dc.contributor.author Herrera Boyer, Perfecto, 1964-
dc.date.accessioned 2021-04-15T06:30:39Z
dc.date.available 2021-04-15T06:30:39Z
dc.date.issued 2012
dc.identifier.citation Bogdanov D, Herrera P. Taking advantage of editorial metadata to recommend music. In: Proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval; 2012 Jun 19-22; London, United Kingdom. London: Queen Mary University of London; 2012. p. 618-32.
dc.identifier.uri http://hdl.handle.net/10230/47121
dc.description Comunicació presentada al 9th International Symposium on Computer Music Modeling and Retrieval, celebrat del 19 al 22 de juny de 2012 a Londres, Regne Unit.
dc.description.abstract In this work we propose a novel approach to music recommendation based exclusively on editorial metadata. To this end, we propose to use a public database of music releases Discogs.com, which contains extensive information about artists, their releases and record labels. We rely on an explicit set of music tracks provided by the user as evidence of his/her music preferences to construct a user profile suitable for distance-based music recommendation. We evaluate the proposed method against two purely metadata-based approaches and one approach partially based on audio content in a listening experiment with 27 participants. The results of subjective evaluation show that the proposed method is competitive to the state-of-the-art recommenders based on commercial metadata, while being easily implemented relying only on open public data.
dc.description.sponsorship The authors would like to thank all participants involved in the evaluation. This research has been partially supported by the FI Grant of Generalitat de Catalunya (AGAUR) and the Classical Planet (TSI-070100- 2009-407, MITYC), DRIMS (TIN2009-14247-C02-01, MICINN), and MIRES (EC-FP7 ICT-2011.1.5 Networked Media and Search Systems, grant agreement No. 287711) projects.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartof Proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval; 2012 Jun 19-22; London, United Kingdom. London: Queen Mary University of London; 2012. p. 618-32.
dc.rights Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Taking advantage of editorial metadata to recommend music
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Music recommendation
dc.subject.keyword User modeling
dc.subject.keyword Music similarity
dc.subject.keyword Editorial metadata
dc.subject.keyword Subjective evaluation
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2009-14247-C02-01
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287711
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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