Pareto-efficient hybridization for multi-objective recommender systems

RecSys, pp. 19-26, 2012.

Cited by: 88|Bibtex|Views22|DOI:https://doi.org/10.1145/2365952.2365962
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Performing accurate suggestions is an objective of paramount importance for effective recommender systems. Other important and increasingly evident objectives are novelty and diversity, which are achieved by recommender systems that are able to suggest diversified items not easily discovered by the users. Different recommendation algorith...More

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