LEARNING TO RANK FOR COLLABORATIVE FILTERING
Jean-Francois Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2007
Abstract
Up to now, most contributions to collaborative filtering rely on rating prediction to generate the recommendations. We, instead, try to correctly rank the items according to the users’ tastes. First, we define a ranking error function which takes available pairwise preferences between items into account. Then we design an effective algorithm that optimizes this error. Finally we illustrate the proposal on a standard collaborative filtering dataset. We adapted the evaluation protocol proposed by (Marlin, 2004) for rating prediction based systems to our case, where pairwise preferences are predicted instead. The preliminary results are between those of two reference rating prediction based methods. We suggest different directions to further explore our ranking based approach for collaborative filtering.
DownloadPaper Citation
in Harvard Style
Pessiot J., Truong T., Usunier N., Amini M. and Gallinari P. (2007). LEARNING TO RANK FOR COLLABORATIVE FILTERING . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 145-151. DOI: 10.5220/0002396301450151
in Bibtex Style
@conference{iceis07,
author={Jean-Francois Pessiot and Tuong-Vinh Truong and Nicolas Usunier and Massih-Reza Amini and Patrick Gallinari},
title={LEARNING TO RANK FOR COLLABORATIVE FILTERING},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={145-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002396301450151},
isbn={978-972-8865-89-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LEARNING TO RANK FOR COLLABORATIVE FILTERING
SN - 978-972-8865-89-4
AU - Pessiot J.
AU - Truong T.
AU - Usunier N.
AU - Amini M.
AU - Gallinari P.
PY - 2007
SP - 145
EP - 151
DO - 10.5220/0002396301450151