A predictive model of music preference using pairwise comparisons

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

A predictive model of music preference using pairwise comparisons. / Jensen, Bjørn Sand; Gallego, Javier Saez ; Larsen, Jan.

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2012. p. 1977-1980 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Jensen, BS, Gallego, JS & Larsen, J 2012, 'A predictive model of music preference using pairwise comparisons'. in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 1977-1980 . I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, , 10.1109/ICASSP.2012.6288294

APA

Jensen, B. S., Gallego, J. S., & Larsen, J. (2012). A predictive model of music preference using pairwise comparisons. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. 1977-1980 ). IEEE. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). 10.1109/ICASSP.2012.6288294

CBE

Jensen BS, Gallego JS, Larsen J. 2012. A predictive model of music preference using pairwise comparisons. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 1977-1980 . (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). Available from: 10.1109/ICASSP.2012.6288294

MLA

Jensen, Bjørn Sand, Javier Saez Gallego, and Jan Larsen "A predictive model of music preference using pairwise comparisons". 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2012. 1977-1980 . (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). Available: 10.1109/ICASSP.2012.6288294

Vancouver

Jensen BS, Gallego JS, Larsen J. A predictive model of music preference using pairwise comparisons. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2012. p. 1977-1980 . (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings). Available from: 10.1109/ICASSP.2012.6288294

Author

Jensen, Bjørn Sand; Gallego, Javier Saez ; Larsen, Jan / A predictive model of music preference using pairwise comparisons.

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2012. p. 1977-1980 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{f501c428218d4132ba0cfaa9eafb547c,
title = "A predictive model of music preference using pairwise comparisons",
publisher = "IEEE",
author = "Jensen, {Bjørn Sand} and Gallego, {Javier Saez} and Jan Larsen",
year = "2012",
doi = "10.1109/ICASSP.2012.6288294",
isbn = "978-1-4673-0045-2",
series = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",
pages = "1977-1980",
booktitle = "2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

}

RIS

TY - GEN

T1 - A predictive model of music preference using pairwise comparisons

A1 - Jensen,Bjørn Sand

A1 - Gallego,Javier Saez

A1 - Larsen,Jan

AU - Jensen,Bjørn Sand

AU - Gallego,Javier Saez

AU - Larsen,Jan

PB - IEEE

PY - 2012

Y1 - 2012

N2 - Music recommendation is an important aspect of many streaming services and multi-media systems, however, it is typically based on so-called collaborative filtering methods. In this paper we consider the recommendation task from a personal viewpoint and examine to which degree music preference can be elicited and predicted using simple and robust queries such as pairwise comparisons. We propose to model - and in turn predict - the pairwise music preference using a very flexible model based on Gaussian Process priors for which we describe the required inference. We further propose a specific covariance function and evaluate the predictive performance on a novel dataset. In a recommendation style setting we obtain a leave-one-out accuracy of 74% compared to 50% with random predictions, showing potential for further refinement and evaluation.

AB - Music recommendation is an important aspect of many streaming services and multi-media systems, however, it is typically based on so-called collaborative filtering methods. In this paper we consider the recommendation task from a personal viewpoint and examine to which degree music preference can be elicited and predicted using simple and robust queries such as pairwise comparisons. We propose to model - and in turn predict - the pairwise music preference using a very flexible model based on Gaussian Process priors for which we describe the required inference. We further propose a specific covariance function and evaluate the predictive performance on a novel dataset. In a recommendation style setting we obtain a leave-one-out accuracy of 74% compared to 50% with random predictions, showing potential for further refinement and evaluation.

KW - Music Preference

KW - Kernel Methods

KW - Gaussian Process Priors

KW - Recommendation

U2 - 10.1109/ICASSP.2012.6288294

DO - 10.1109/ICASSP.2012.6288294

SN - 978-1-4673-0045-2

BT - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

T2 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

T3 - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

T3 - en_GB

SP - 1977

EP - 1980

ER -