DC FieldValueLanguage
dc.contributor.authorMarinagi, Catherine-
dc.contributor.authorNtsounos, Paris-
dc.contributor.authorPelingo, John Darryl-
dc.contributor.authorSkourlas, Christos-
dc.contributor.authorTsolakidis, Anastasios-
dc.date.accessioned2025-03-09T18:55:58Z-
dc.date.available2025-03-09T18:55:58Z-
dc.date.issued2021-02-01-
dc.identifierscopus-85126203032-
dc.identifier.isbn978-3-030-57065-1-
dc.identifier.issn2198-7254-
dc.identifier.issn2198-7246-
dc.identifier.other85126203032-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/3028-
dc.description.abstractToday there is a growing interest in the combination of knowledge management techniques with the emotions, induced by music, to build Music Recommendation Systems. Advertisers can exploit music recommendations to select the type of music that can produce appropriate emotional reactions to consumers. The goal of our research is to specify an efficient and accurate way for classifying listeners’ emotions and recommend music tracks. Metadata and the emotions, induced by music, are utilized to implement a prototype of a low cost personalized Music Recommendation System. Experiments are conducted on a set of 1000 tracks with three classes of music emotions. The results indicate the classification algorithm that can better predict the emotions evoked by a song, based on associated acoustic metadata. Eventually some conclusions are given.en_US
dc.language.isoenen_US
dc.relation.ispartofBusiness Intelligence and Modellingen_US
dc.relation.ispartofseriesSpringer Proceedings in Business and Economicsen_US
dc.subjectEmotionsen_US
dc.subjectKnowledge managementen_US
dc.subjectMusic recommendation systemen_US
dc.titleKnowledge management techniques in emotion-based music recommendation systemsen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Business Intelligence & Modellingen_US
dc.identifier.doi10.1007/978-3-030-57065-1_43en_US
dc.identifier.scopus2-s2.0-85126203032-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage415en_US
dc.identifier.epage423en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7364-4542-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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