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Large-scale Analysis of Group-specific Music Genre Taste From Collaborative Tags
Johannes Kepler University, Austria.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
2017 (English)In: Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017, 2017, p. 479-482, article id Code 134021Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we describe the LFM-1b User Genre Profile dataset. It provides detailed information on musical genre preferences for more than 120,000 listeners and links to the LFM-1b dataset. We created the dataset by exploiting social tags, indexing them using two genre term sets, and aggregating the resulting annotated listening events on the user level. We foresee several applications of the dataset in music retrieval and recommendation tasks, among others to build and evaluate decent user models, to alleviate cold-start situations in music recommender systems, and to increase their performance using the additional abstraction layer of genre. We further present results of statistical analyses of the dataset, regarding genre preferences and their consistencies. We do so for the entire user population and for user groups defined by demographic similarities. Moreover, we report interesting insights about correlations between musical preferences on the genre level.

Place, publisher, year, edition, pages
2017. p. 479-482, article id Code 134021
Keywords [en]
Abstraction layer, Large-scale analysis, Music recommender systems, Music retrieval, Musical genre, Social Tags, User levels, User models
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:hj:diva-37614DOI: 10.1109/ISM.2017.95Scopus ID: 2-s2.0-85045951417ISBN: 9781538629383 (print)ISBN: 9781538629369 OAI: oai:DiVA.org:hj-37614DiVA, id: diva2:1149812
Conference
The 19th IEEE International Symposium on Multimedia (ISM2017), Taichung, Taiwan, December 11-13, 2017.
Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2018-05-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
  • de-DE
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