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J Intell Inf Syst (2013) 41:523539
DOI 10.1007/s10844-013-0247-6
Received: 14 November 2012 / Revised: 13 March 2013 / Accepted: 9 May 2013 / Published online: 18 July 2013 The Author(s) 2013. This article is published with open access at SpringerLink.com
Abstract Personalization and context-awareness are highly important topics in research on Intelligent Information Systems. In the fields of Music Information Retrieval (MIR) and Music Recommendation in particular, user-centric algorithms should ideally provide music that perfectly fits each individual listener in each imaginable situation and for each of her information or entertainment needs. Even though preliminary steps towards such systems have recently been presented at the International Society for Music Information Retrieval Conference (ISMIR) and at similar venues, this vision is still far away from becoming a reality. In this article, we investigate and discuss literature on the topic of user-centric music retrieval and reflect on why the breakthrough in this field has not been achieved yet. Given the different expertises of the authors, we shed light on why this topic is a particularly challenging one, taking computer science and psychology points of view. Whereas the computer science aspect centers on the problems of user modeling, machine learning,
This research is supported by the Austrian Science Fund (FWF): P22856, P25655, and P24095, by the Spanish Government: HAR2011-27540, and by the European Commission, FP7 (Seventh Framework Programme), ICT-2011.1.5 Networked Media and Search Systems, grant agreement no. 287711. The research leading to these results has received funding from the European Union Seventh Framework Programme FP7 / 20072013 through the PHENICX project under grant agreement no. 601166.
M. Schedl (B)
Department of Computational Perception, Johannes Kepler University, Linz, Austria e-mail: [email protected]
A. Flexer
Austrian Research Institute for Artificial Intelligence, Vienna, Austria e-mail: [email protected]
J. Urbano
Department of Computer Science, University Carlos III, Legans, Spain e-mail: [email protected]
The neglected user in music information retrieval research
Markus Schedl Arthur Flexer Julin Urbano
524 J Intell Inf Syst (2013) 41:523539
and evaluation, the psychological discussion is mainly concerned with proper experimental design and interpretation of the results of an experiment. We further present our ideas on aspects crucial to consider when elaborating user-aware music retrieval systems.
Keywords User-centric music retrieval Experimental design Evaluation
Interpretation
1 Why care about the user?
In our...