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Deriving music theme annotations from user tags

Published: 20 April 2009 Publication History

Abstract

Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to fill the gaps in the tag space, in this paper we develop algorithms for recommending theme annotations. Our methods exploit already existing user tags, the lyrics of music tracks, as well as combinations of both. We compare the results for our recommended theme annotations against genre and style recommendations - a much easier and already studied task. We evaluate the quality of our recommended tags against an expert ground truth data set. Our results are promising and provide interesting insights into possible extensions for music tagging systems to support music search.

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Cited By

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  • (2011)Music review classification enhanced by semantic informationProceedings of the 13th Asia-Pacific web conference on Web technologies and applications10.5555/1996794.1996800(5-16)Online publication date: 18-Apr-2011
  • (2011)Music Review Classification Enhanced by Semantic InformationWeb Technologies and Applications10.1007/978-3-642-20291-9_4(5-16)Online publication date: 2011
  • (2010)Bringing order to your photosProceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871465(189-198)Online publication date: 26-Oct-2010
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  1. Deriving music theme annotations from user tags

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    Published In

    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    Author Tags

    1. collaborative tagging
    2. high-level music descriptors
    3. metadata enrichment
    4. theme tag recommendations

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    View all
    • (2011)Music review classification enhanced by semantic informationProceedings of the 13th Asia-Pacific web conference on Web technologies and applications10.5555/1996794.1996800(5-16)Online publication date: 18-Apr-2011
    • (2011)Music Review Classification Enhanced by Semantic InformationWeb Technologies and Applications10.1007/978-3-642-20291-9_4(5-16)Online publication date: 2011
    • (2010)Bringing order to your photosProceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871465(189-198)Online publication date: 26-Oct-2010
    • (2010)Supporting Collaborative Workflows of Digital Multimedia AnnotationProceedings of COOP 201010.1007/978-1-84996-211-7_6(79-99)Online publication date: 28-Apr-2010
    • (2009)How do you feel about "dancing queen"?Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries10.1145/1555400.1555448(285-294)Online publication date: 15-Jun-2009
    • (undefined)Bridging the Gap between Tagging and Querying Vocabularies: Analyses and Applications for Enhancing Multimedia IRSSRN Electronic Journal10.2139/ssrn.3199479

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