Efficient user preference predictions using collaborative filtering

Abstract

Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applied to address these two issues, including feature selection, instance selection, and clustering. Most existing methods either compromise computational complexity or prediction… (More)
DOI: 10.1109/ICPR.2008.4761814

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