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Authors: Fabio Roda 1 ; Leo Liberti 1 and Franco Raimondi 2

Affiliations: 1 École Polytechnique, France ; 2 Middlesex University, United Kingdom

Keyword(s): Recommender systems, TMW, KNN.

Abstract: In this paper we report our experience in the implementation of three collaborative filtering algorithms (user-based k-nearest neighbour, Slope One and TMW, our original algorithm) to provide a recommendation service on an existing website. We carry out the comparison by means of a typical metric, namely the accuracy (RMSE). Usually, evaluations for these kinds of algorithms are carried out using off-line analysis, withholding values from a dataset, and trying to predict them again using the remaining portion of the dataset (the so-called “leave-n-out approach”). We adopt a “live” method on an existing website: when a user rates an item, we also store in parallel the predictions of the algorithms on the same item. We got some unexpected results. In the next sections we describe the algorithms, the benchmark, the testing method, and discuss the outcome of this exercise. Our contribution is a report of the initial phase of a Recommender Systems project with a focus on some possible dif ficulties on the interpretation of the initial results. (More)

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Paper citation in several formats:
Roda, F.; Liberti, L. and Raimondi, F. (2011). EVALUATION OF COLLABORATIVE FILTERING ALGORITHMS USING A SMALL DATASET. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 603-606. DOI: 10.5220/0003336506030606

@conference{webist11,
author={Fabio Roda. and Leo Liberti. and Franco Raimondi.},
title={EVALUATION OF COLLABORATIVE FILTERING ALGORITHMS USING A SMALL DATASET},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={603-606},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003336506030606},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - EVALUATION OF COLLABORATIVE FILTERING ALGORITHMS USING A SMALL DATASET
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Roda, F.
AU - Liberti, L.
AU - Raimondi, F.
PY - 2011
SP - 603
EP - 606
DO - 10.5220/0003336506030606
PB - SciTePress