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Introducing surprise and opposition by design in recommender systems
Bauer C., Schedl M. UMAP 2017 (Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, Jul 9-12, 2017) 350-353, 2017. Type: Proceedings
Christine Bauer and Markus Schedl, researchers at the Department of Computational Perception, Johannes Kepler University Linz, propose an approach to expanding the utility of recommender systems by developing capabilities to incorporat...
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Jul 26 2018
Music similarity and retrieval: an introduction to audio- and web-based strategies
Knees P., Schedl M., Springer International Publishing, New York, NY, 2016. 305 pp. Type: Book (978-3-662497-20-3)
Knees and Schedl’s book on
Music similarity and retrieval
differs from other books on the topic in that the authors have focused on music rather than acoustical signal processing, adding several cultural- and listener-...
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Feb 9 2017
Music information retrieval: recent developments and applications
Schedl M., Gómez E., Urbano J. Foundations and Trends in Information Retrieval 8(2-3): 127-261, 2014. Type: Article
Music information retrieval (MIR) is concerned with the extraction and analysis of musical features from audio samples or scores (musical notations) from texts. These musical features supply the quantified and graphical information fro...
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Apr 7 2015
nepDroid: an intelligent mobile music player
Huber S., Schedl M., Knees P. ICMR 2012 (Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, Hong Kong, Jun 5-8, 2012) 1-2, 2012. Type: Proceedings
This short paper presents a novel interaction technique for smartphones that allows users to browse music stored on mobile devices in a game-like way. Unlike music retrieval methods based on metadata text search, the nepDroid mobile mu...
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Jul 27 2012
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