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dc.contributor.authorFerwerda B
dc.contributor.authorTkalcic M
dc.contributor.authorSchedl M
dc.contributor.editor
dc.date.accessioned2018-08-01T10:47:17Z
dc.date.available2018-08-01T10:47:17Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10863/5426
dc.description.abstractPersonality traits are increasingly being incorporated in systems to provide a personalized experience to the user. Current work focusing on identifying the relationship between personality and behavior, preferences, and needs often do not take into account differences between age groups. With music playing an important role in our lives, differences between age groups may be especially prevalent. In this work we investigate whether differences exist in music listening behavior between age groups. We analyzed a dataset with the music listening histories and personality information of 1415 users. Our results show agreements with prior work that identi ed personality-based music listening preferences. However, our results show that the agreements we found are in some cases divided over different age groups, whereas in other cases additional correlations were found within age groups. With our results personality-based systems can provide better music recommendations that is in line with the user’s age.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.rights
dc.titlePersonality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groupsen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-16T07:39:48Z
dc.publication.titleProceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems (RecTemp) at the 11th ACM Conference on Recommender Systems, Como, August 31, 2017
dc.language.isiEN-GB
dc.description.fulltextreserveden_US


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