Efficient optimization of multiple recommendation quality factors according to individual user tendencies
Expert Syst. Appl., Volume 81, Issue C, 2017, Pages 321-331.
Recommender systemsQuality factorsUser-specific optimizationTrade-offs
An efficient post-processing scheme for recommendation lists is proposed.It can adjust quality factors, like diversity, of a list to match user tendencies.Compromises on accuracy are kept low.The method is compared with other post-processing algorithms from the literature.It can be used to build novel fine-grained personalization approach...More
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