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Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

dc.contributor.authorDe Boom, Cedric
dc.contributor.authorAgrawal, R.
dc.contributor.authorHansen, S.
dc.contributor.authorKumar, E.
dc.contributor.authorYon, R.
dc.contributor.authorChen, C.-W.
dc.contributor.authorDemeester, Thomas
dc.contributor.authorDhoedt, Bart
dc.date.accessioned2021-10-25T17:36:40Z
dc.date.available2021-10-25T17:36:40Z
dc.date.issued2018
dc.identifier.issn1380-7501
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30503
dc.sourceIIOimport
dc.titleLarge-scale user modeling with recurrent neural networks for music discovery on multiple time scales
dc.typeJournal article
dc.contributor.imecauthorDe Boom, Cedric
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage15385
dc.source.endpage15407
dc.source.journalMultimedia Tools and Applications
dc.source.issue12
dc.source.volume77
dc.identifier.urlhttps://link.springer.com/article/10.1007/s11042-017-5121-z
imec.availabilityPublished - open access


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