Markus Schedl,
"Listener-aware Music Search and Recommendation"
: Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015), 9-2015
Original Titel:
Listener-aware Music Search and Recommendation
Sprache des Titels:
Deutsch
Original Buchtitel:
Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015)
Original Kurzfassung:
Music recommender systems are lately seeing a sharp increase
in popularity due to many novel commercial music streaming services.
Most systems, however, do not decently take their listeners into
account when recommending music items. In this note, we summarize
our recent work and report our latest findings on the topics of tailoring
music recommendations to individual listeners and to groups of listeners
sharing certain characteristics. We focus on two tasks: context-aware
automatic playlist generation (also known as serial recommendation) using
sensor data and music artist recommendation using social media data.
Forschungs-