Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns

Description

This paper aims at leveraging microblogs to address two challenges in music information retrieval (MIR), similarity estimation between music artists and inferring typical lis- tening patterns at different granularity levels (city, country, global). From two collections of several million microblogs, which we gathered over ten months, music-related information is extracted and statistically analyzed. We propose and evaluate four co-occurrence-based methods to compute artist similarity scores. Moreover, we derive and analyze culture-specific music listening patterns to investigate the diversity of listening behavior around the world.

Period	17 Apr 2012
Event title	unbekannt/unknown
Event type	Conference
Location	FranceShow on map