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Exploring Geospatial Music Listening Patterns in Microblog Data

  • David Hauger
  • Markus SchedlEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8382)

Abstract

Microblogs are a steadily growing, valuable, albeit noisy, source of information on interests, preferences, and activities. As music plays an important role in many human lives we aim to leverage microblogs for music listening-related information. Based on this information we present approaches to estimate artist similarity, popularity, and local trends, as well as approaches to cluster artists with respect to additional tag information. Furthermore, we elaborate a novel geo-aware interaction approach that integrates these diverse pieces of information mined from music-related tweets. Including geospatial information at the level of tweets, we also present a web-based user interface to browse the “world of music” as seen by the “Twittersphere”.

Keywords

Microblogs Geospatial music taste Music listening patterns 

Notes

Acknowledgments

This research is supported by the Austrian Science Funds (FWF): P22856-N23 and Z159.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Computational PerceptionJohannes Kepler UniversityLinzAustria

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