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Using contextual information in music playlist recommendations
dc.contributor.author | Gatzioura, Ana |
dc.contributor.author | Sànchez-Marrè, Miquel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2019-03-01T10:56:00Z |
dc.date.available | 2019-03-01T10:56:00Z |
dc.date.issued | 2017-10-01 |
dc.identifier.citation | Gatzioura, A.; Sànchez-Marrè, M. Using contextual information in music playlist recommendations. "Frontiers in artificial intelligence and applications", 1 Octubre 2017, vol. 300, p. 239-244. |
dc.identifier.issn | 0922-6389 |
dc.identifier.uri | http://hdl.handle.net/2117/129986 |
dc.description.abstract | Recommender Systems have become a fundamental part of various applications supporting users when searching for items they could be interested in, at a given moment. However, the majority of Recommender Systems generate isolate item recommendations based mainly on user-item interactions, without taking into account other important information about the recommendation moment, able to deliver users a more complete experience. In this paper, a hybrid Case-based Reasoning model generating recommendations of sets of music items, based on the underlying structures found in previous playlists, is proposed. Furthermore, the described system takes into account the similarity of the basic contextual information of the current and the past recommendation moments. The initial evaluation shows that the proposed approach may deliver recommendations of equal and higher accuracy than some of the widely used technique |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | IOS Press |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.other | hybrid recommender system |
dc.subject.other | set of items recommendation |
dc.subject.other | case-based reasoning |
dc.subject.other | graph-based similarity |
dc.subject.other | context |
dc.subject.other | playlist recommendations |
dc.subject.other | music recommender systems |
dc.title | Using contextual information in music playlist recommendations |
dc.type | Article |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.identifier.doi | 10.3233/978-1-61499-806-8-239 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ebooks.iospress.nl/publication/47745 |
dc.rights.access | Open Access |
local.identifier.drac | 23947549 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Gatzioura, A.; Sànchez-Marrè, M. |
local.citation.publicationName | Frontiers in artificial intelligence and applications |
local.citation.volume | 300 |
local.citation.startingPage | 239 |
local.citation.endingPage | 244 |
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