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Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
Free University of Bozen-Bolzano, Italy.
Johannes Kepler University, Austria.
2017 (English)In: Temporal Reasoning in Recommender Systems / [ed] Maria Bielikova, Veronika Bogina, Tsvi Kuflik, Roy Sasson, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Personality 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.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Personality, Music, Age, RecommenderSystem
National Category
Psychology Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hj:diva-36884OAI: oai:DiVA.org:hj-36884DiVA: diva2:1141105
Conference
Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems (RecTemp) at the 11th ACM Conference on Recommender Systems, Como, August 31, 2017.
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2017-09-14Bibliographically approved

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