Clustering based approach for balancing accuracy and diversity in collaborative filtering

Abstract

In today’s world of e-commerce, recommender system plays an important role for both individual user and business. Traditional recommender systems mainly emphasize on individual user satisfaction by recommending high quality items. However, recent study shows that diversity in recommendations is equally important factor from both user and business view… (More)

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Cite this paper

@inproceedings{Pathak2014ClusteringBA, title={Clustering based approach for balancing accuracy and diversity in collaborative filtering}, author={Apurva Pathak and Bidyut Kr. Patra and Ville Ollikainen and Raimo Launonen}, year={2014} }