Conference paper
A predictive model of music preference using pairwise comparisons
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.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1977-1980 |
| Proceedings: | 2012 IEEE International Conference on Acoustics, Speech and Signal ProcessingIEEE International Conference on Acoustics, Speech and Signal Processing |
| Series: | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
| ISBN: | 1467300446 , 1467300454 , 1467300462 , 9781467300445 , 9781467300452 and 9781467300469 |
| ISSN: | 2379190x and 15206149 |
| Types: | Conference paper |
| DOI: | 10.1109/ICASSP.2012.6288294 |
| ORCIDs: | Jensen, Bjørn Sand and Larsen, Jan |
Approximation methods Collaboration Gaussian process Gaussian processes Kernel Mathematical model Predictive models Training audio preference audio signal processing audio streaming collaborative filtering method covariance analysis covariance function degree music preference multimedia system music music recommendation pairwise comparison pairwise music preference prediction theory predictive model predictive performance evaluation random prediction recommender systems robust querying streaming service
