Porto / San Francisco / Houston / Miami / Vienna / New York / /
Company
DURA / Last.fm / Danish Agency for Science / Intelligent Information Systems / Creative Commons / /
Country
Austria / United States / Portugal / / /
Facility
centre of MIR / University of Glasgow / Center of Music Information Retrieval / /
IndustryTerm
feature selection algorithm / online collections / music retrieval systems / categorisation systems / recommender systems / online radio / greedy feature selection algorithm / think-aloud protocol / retrieval systems / /
MarketIndex
NASA Task Load / /
NaturalFeature
Spotify stream / /
Organization
American Statistical Association / Human Factors and Ergonomics Society / Roderick Murray-Smith School of Computing Science / MIT / National Aeronautics and Space Administration / University of Glasgow / Danish Council for Strategic Research / Danish Agency for Science Technology and Innovation / 15th International Society for Music Information Retrieval Conference / /
Person
Roderick Murray-Smith / Daniel Boland / Roderick MurraySmith / /
Position
author / mental model for their music retrieval / artist / same artist / /
ProvinceOrState
Texas / Florida / California / New York / /
PublishedMedium
Communications of the ACM / Journal of Machine Learning Research / The Journal of Machine Learning Research / Journal of the American Statistical Association / D-Lib Magazine / /
INFORMATION-THEORETIC MEASURES OF MUSIC LISTENING BEHAVIOUR Daniel Boland, Roderick Murray-Smith School of Computing Science, University of Glasgow, United Kingdom ; .u