Listener-Aware Music Recommendation from Sensor and Social Media Data

Abstract. 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.

• Type: Journal
• Year: 2015
• Where: PKDD
• Authors: Markus Schedl
• Keywords: Data Mining, PKDD 2015