Markus Schedl,
"Listener-aware Music Recommendation from Sensor and Social Media Data"
: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015
Original Titel:
Listener-aware Music Recommendation from Sensor and Social Media Data
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
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.