Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material

Marko Tkalcic; Markus Schedl; Cynthia Liem; Mark Melenhorst

Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material

Marko Tkalcic, Markus Schedl, Cynthia Liem, Mark Melenhorst

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper reports on three demonstrators developed to pro- vide personalized, enhanced experiences of classical music, within the EU FP7 project \Performances as Highly En- riched aNd Interactive Concert eXperiences" (PHENICX) 1 : (i) an interface for accessing supplemental multimodal ma- terial about music items, (ii) a recommender system for vi- sualizations of classical music, and (iii) a recommender sys- tem for tagging. The personalization in all three demos is achieved through modeling users' personality and musical sophistication. The links to the web interfaces are provided as well as the outcomes of quantitative and qualitative eval- uations.

Original language	English
Title of host publication	Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR 2016)
Number of pages	4
Publication status	Published - Jun 2016

Fields of science

202002 Audiovisual media
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Cite this

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AB - This paper reports on three demonstrators developed to pro- vide personalized, enhanced experiences of classical music, within the EU FP7 project \Performances as Highly En- riched aNd Interactive Concert eXperiences" (PHENICX) 1 : (i) an interface for accessing supplemental multimodal ma- terial about music items, (ii) a recommender system for vi- sualizations of classical music, and (iii) a recommender sys- tem for tagging. The personalization in all three demos is achieved through modeling users' personality and musical sophistication. The links to the web interfaces are provided as well as the outcomes of quantitative and qualitative eval- uations.

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