Improving Recommendation Diversity Using Ranking-Based Techniques


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