A configuration-based recommender system for supporting e-commerce decisions
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Publication:1751792
DOI10.1016/j.ejor.2016.09.057zbMath1394.90365OpenAlexW2528038360MaRDI QIDQ1751792
Michael Scholz, Alexander Benlian, Guido Schryen, Verena Dorner
Publication date: 25 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://epub.uni-regensburg.de/34647/1/AConfiguration-basedRecommenderSystemForSupportingE-commerceDecisions.pdf
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Decision theory (91B06) Management decision making, including multiple objectives (90B50) Utility theory (91B16)
Related Items (5)
Recommendation generation using personalized weight of meta-paths in heterogeneous information networks ⋮ Online retail operations with ``try-before-you-buy ⋮ About one method of stability investigation for nonlinear stochastic delay differential equations ⋮ A nonlinear dynamic age-structured model of e-commerce in Spain: stability analysis of the equilibrium by delay and stochastic perturbations ⋮ Cross-efficiency evaluation in data envelopment analysis based on prospect theory
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