DUM: Diversity-Weighted Utility Maximization for Recommendations

CoRR, 2014.

Cited by: 3|Views11
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Abstract:

The need for diversification of recommendation lists manifests in a number of recommender systems use cases. However, an increase in diversity may undermine the utility of the recommendations, as relevant items in the list may be replaced by more diverse ones. In this work we propose a novel method for maximizing the utility of the reco...More

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