Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns

S. Huber; Markus Schedl; Peter Knees

Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns

S. Huber
, Markus Schedl
, Peter Knees

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012)
Number of pages	2
Publication status	Published - Jun 2012

Fields of science

102 Computer Sciences
102001 Artificial intelligence
102003 Image processing

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Cite this

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abstract = "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.",

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Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns. / Huber, S.; Schedl, Markus; Knees, Peter.
Proceedings of the 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). 2012.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Knees, Peter

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