Szabo, Z;
Póczos, A;
Lőrincz, A;
(2012)
Collaborative Filtering via Group-Structured Dictionary Learning.
In:
(Proceedings) International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA).
(pp. 247 - 254).
Springer-Verlag, Berlin Heidelberg
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Abstract
Structured sparse coding and the related structured dictionary learning problems are novel research areas in machine learning. In this paper we present a new application of structured dictionary learning for collaborative filtering based recommender systems. Our extensive numerical experiments demonstrate that the presented method outperforms its state-of-the-art competitors and has several advantages over approaches that do not put structured constraints on the dictionary elements.
Type: | Proceedings paper |
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Title: | Collaborative Filtering via Group-Structured Dictionary Learning |
Event: | International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) |
Location: | Tel-Aviv, Israel |
Dates: | 2012-03-12 - 2012-03-15 |
ISBN-13: | 978-3-642-28550-9 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-642-28551-6_31 |
Publisher version: | http://dx.doi.org/10.1007/978-3-642-28551-6_31 |
Language: | English |
Additional information: | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-28551-6_31 |
Keywords: | collaborative filtering, structured dictionary learning |
UCL classification: | UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit |
URI: | https://discovery.ucl.ac.uk/id/eprint/1433149 |
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