%0 Conference Proceedings
%T An Adapted Alternation Approach for Recommender Systems
%A Carme Julia
%A Angel Sappa
%A Felipe Lumbreras
%A Joan Serrat
%A Antonio Lopez
%B IEEE International Conference on e–Business Engineering,
%D 2008
%F Carme Julia2008
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1044), last updated on Thu, 10 Oct 2013 12:40:15 +0200
%X 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.
%U http://refbase.cvc.uab.es/files/JSL2008e.pdf
%P 128–135