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
Link To Document :
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