E. Zangerle, M. Pichl, Markus Schedl,
"Culture-Aware Music Recommendation"
: Proceedings of the 26th International Conference on User Modeling, Adaptation and Personalization (UMAP 2018), 7-2018
Original Titel:
Culture-Aware Music Recommendation
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 26th International Conference on User Modeling, Adaptation and Personalization (UMAP 2018)
Original Kurzfassung:
Integrating information about the listener?s cultural background
when building music recommender systems has recently been identified as a means to improve recommendation quality. In this paper,
we therefore propose a novel approach to jointly model users by
the user?s musical preferences and his/her cultural background. We
describe the musical preferences of users by relying on the acoustic
features of the songs the users have been listening to and characterize the cultural background of users by cultural and socio-economic
features that we infer from the user?s country. To evaluate the
impact of the proposed user model on recommendation quality,
we integrate the model into a culture-aware music recommender
system. We show that incorporating both acoustic information of
the tracks a user has listened to as well as the cultural background
of users in the form of a music-cultural user model contributes to
improved recommendation performance.