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dc.contributor.authorFerwerda B
dc.contributor.authorVall A
dc.contributor.authorTkalcic M
dc.contributor.authorSchedl M
dc.contributor.editor
dc.date.accessioned2019-10-02T13:16:36Z
dc.date.available2019-10-02T13:16:36Z
dc.date.issued2016
dc.identifier.isbn978-1-4503-4368-8
dc.identifier.urihttp://dx.doi.org/10.1145/2930238.2930262
dc.identifier.urihttp://doi.acm.org/10.1145/2930238.2930262
dc.identifier.urihttps://bia.unibz.it/handle/10863/10912
dc.description.abstractProviding diversity in recommendations has shown to positively influence the user's subjective evaluations such as satisfaction. However, it is often unknown how much diversity a recommendation set needs to consist of. In this work, we explored how music users of Last.fm apply diversity in their listening behavior. We analyzed a dataset with the music listening history of 53,309 Last.fm users capturing their total listening events until August 2014. We complemented this dataset with The Echo Nest features and Hofstede's cultural dimensions to explore how music diversity is applied across countries. Between 47 countries, we found distinct relationships between the cultural dimensions and music diversity variables. These results suggest that different country-based diversity measurements should be considered when applied to a recommendation set in order to maximize the user's subjective evaluations. The country-based relationships also provide opportunities for recommender systems to personalize experiences when user data is limited by being able to rely on the user's demographics.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation24th ACM International Conference on User Modeling (UMAP 2016) ; Halifax : 13.7.2016 - 16.7.2016
dc.rights
dc.titleExploring Music Diversity Needs Across Countriesen_US
dc.typeBook chapteren_US
dc.date.updated2019-09-29T03:11:11Z
dc.publication.titleUMAP '16 Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


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