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Erschienen in:
Defining and Applying a Language for Discovery Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Exploring Geospatial Music Listening Patterns in Microblog Data

verfasst von : David Hauger, Markus Schedl

Erschienen in: Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation

Verlag: Springer International Publishing

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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”.

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Vorheriges Kapitel Representativeness and Diversity in Photos via Crowd-Sourced Media Analysis
Nächstes Kapitel A Study into Annotation Ranking Metrics in Community Contributed Image Corpora
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Metadaten
Titel
Exploring Geospatial Music Listening Patterns in Microblog Data
verfasst von
David Hauger
Markus Schedl
Copyright-Jahr
2014
Buch
Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation

Print ISBN: 978-3-319-12092-8

Electronic ISBN: 978-3-319-12093-5

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-12093-5_7

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