• DocumentCode
    1364765
  • Title

    Rainbow Product Ranking for Upgrading E-Commerce

  • Author

    Feng, Qinyuan ; Hwang, Kai ; Dai, Yafei

  • Author_Institution
    Peking Univ., Beijing, China
  • Volume
    13
  • Issue
    5
  • fYear
    2009
  • Firstpage
    72
  • Lastpage
    80
  • Abstract
    Online product ranking is complicated by conflicting attributes. The authors propose a rainbow ranking system to solve this problem in e-commerce. This approach extends eBay´s one-to-one shopping paradigm to a flexible one with many-to-many transactions. The system demonstrates a 50 to 70 percent transaction increase over skyline and eBay ranking methods. Buyers are allowed personalized selections of commodity products, whereas sellers benefit from both wholesale and retailing online. The rainbow scheme thus creates a win-win situation for both buyers and sellers in widened e-commerce marketplaces.
  • Keywords
    electronic commerce; retailing; e-commerce; eBay ranking method; electronic commerce; online product ranking; online retailing; rainbow ranking system; Computational intelligence; Decision making; Feedback; Intelligent systems; Marketing and sales; Operations research; Peer to peer computing; Procurement; Transaction databases; Rainbow ranking; e-commerce; online shopping; product ranking;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2009.113
  • Filename
    5233614