Efficient optimization of multiple recommendation quality factors according to individual user tendencies

Expert Syst. Appl., Volume 81, Issue C, 2017, Pages 321-331.

Cited by: 33|Bibtex|Views20|Links
EI
Keywords:
Recommender systemsQuality factorsUser-specific optimizationTrade-offs

Abstract:

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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