Issue No. 05 - September/October (2009 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2009.113
Kai Hwang , University of Southern California
Yafei Dai , Peking University, China
Qinyuan Feng , Peking University, China
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.
online shopping, e-commerce, product ranking, Rainbow ranking
Kai Hwang, Yafei Dai, Qinyuan Feng, "Rainbow Product Ranking for Upgrading E-Commerce", IEEE Internet Computing, vol. 13, no. , pp. 72-80, September/October 2009, doi:10.1109/MIC.2009.113