MRS OZ: managerial recommender system for electronic commerce based on Onicescu method and Zipf’s law

Volume: 21, Issue: 2, Pages: 131 - 143
Published: Sep 28, 2019
Abstract
User decision intuition is challenging and complex, even if the user and product are known. Thus, recommending products is a management decision with high degree of incertitude. What if we are facing also the cold-start problem, like new products or visitors? This is a hot topic in recommender systems, tackled in variously, successfully or not. This perspective adds more incertitude to the existing uncertain scenario. Our philosophy is the shift...
Paper Details
Title
MRS OZ: managerial recommender system for electronic commerce based on Onicescu method and Zipf’s law
Published Date
Sep 28, 2019
Volume
21
Issue
2
Pages
131 - 143
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.