Bruce Ferwerda, Markus Schedl,
"Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis"
: Extended Proceedings of the 24th Conference on User Modeling, Adaptation and Personalization (UMAP): 1st Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP)., 2016
Original Titel:
Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis
Sprache des Titels:
Deutsch
Original Buchtitel:
Extended Proceedings of the 24th Conference on User Modeling, Adaptation and Personalization (UMAP): 1st Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP).
Original Kurzfassung:
Diversity in recommendation lists or sets has shown to be an
important feature in recommender systems as it can counteract
on negative effects such as choice difficulty and choice
overload. However, how much diversity a recommendation
list needs to provide is not clearly defined. By analyzing music
listening behavior of listeners in 47 countries, we show
that diversity needs may be cultural dependent. For our
analyses, we exploited a Last.fm dataset containing almost
1:1 billion single listening events. We investigated several
diversity measures to identify how users in different countries
apply music diversity to their listening behavior. By
analyzing 53;309 Last.fm users, we found distinct diversity
behavior related to several cultural dimensions of Hofstede.
We show with our results that different diversity needs exist
between cultures, and should be taken into account when
applying diversity to a recommendation list.
Forschungs-