Improving Recommendation Diversity Using Ranking-Based Techniques

Abstract

Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of… (More)

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Cite this paper

@inproceedings{Adomavicius2009ImprovingRD, title={Improving Recommendation Diversity Using Ranking-Based Techniques}, author={Gediminas Adomavicius and YoungOk Kwon}, year={2009} }