@InProceedings{CarmeJulia2008,
author="Carme Julia
and Angel Sappa
and Felipe Lumbreras
and Joan Serrat
and Antonio Lopez",
title="An Adapted Alternation Approach for Recommender Systems",
booktitle="IEEE International Conference on e--Business Engineering,",
year="2008",
pages="128--135",
abstract="This paper presents an adaptation of the alternation technique to tackle the prediction task in recommender systems. These systems are widely considered in electronic commerce to help customers to find products they will probably like or dislike. As the SVD-based approaches, the proposed adapted alternation technique uses all the information stored in the system to find the predictions. The main advantage of this technique with respect to the SVD-based ones is that it can deal with missing data. Furthermore, it has a smaller computational cost. Experimental results with public data sets are provided in order to show the viability of the proposed adapted alternation approach.",
optnote="ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1044), last updated on Thu, 10 Oct 2013 12:40:15 +0200",
file=":http://refbase.cvc.uab.es/files/JSL2008e.pdf:PDF"
}