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Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study
Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik.ORCID-id: 0000-0003-4344-9986
Maastricht University.
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Psychological models are increasingly being used to explain online behavioral traces. Aside from the commonly used personality traits as a general user model, more domain dependent models are gaining attention. The use of domain dependent psychological models allows for more fine-grained identification of behaviors and provide a deeper understanding behind the occurrence of those behaviors. Understanding behaviors based on psychological models can provide an advantage over data-driven approaches. For example, relying on psychological models allow for ways to personalize when data is scarce. In this preliminary work we look at the relation between users' musical sophistication and their online music listening behaviors and to what extent we can successfully predict musical sophistication. An analysis of data from a study with 61 participants shows that listening behaviors can successfully be used to infer users' musical sophistication.

sted, utgiver, år, opplag, sider
2018.
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-41359OAI: oai:DiVA.org:hj-41359DiVA, id: diva2:1245711
Konferanse
12th ACM Conference on Recommender Systems
Tilgjengelig fra: 2018-09-05 Laget: 2018-09-05 Sist oppdatert: 2019-04-04

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https://arxiv.org/abs/1808.07314

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