S. Huber, Markus Schedl, Peter Knees,
"Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns"
: Proceedings of the 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012), 6-2012
Original Titel:
Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012)
Original Kurzfassung:
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.
Forschungs-