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Rainbow Product Ranking for Upgrading E-Commerce
September/October 2009 (vol. 13 no. 5)
pp. 72-80
ASCII Text
x 
 
Qinyuan Feng, Kai Hwang, Yafei Dai, "Rainbow Product Ranking for Upgrading E-Commerce," IEEE Internet Computing, vol. 13, no. 5, pp. 72-80, September/October, 2009.
 
 
BibTex
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@article{ 10.1109/MIC.2009.113,
author = {Qinyuan Feng and Kai Hwang and Yafei Dai},
title = {Rainbow Product Ranking for Upgrading E-Commerce},
journal ={IEEE Internet Computing},
volume = {13},
number = {5},
issn = {1089-7801},
year = {2009},
pages = {72-80},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2009.113},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Rainbow Product Ranking for Upgrading E-Commerce
IS - 5
SN - 1089-7801
SP72
EP80
EPD - 72-80
A1 - Qinyuan Feng,
A1 - Kai Hwang,
A1 - Yafei Dai,
PY - 2009
KW - online shopping
KW - e-commerce
KW - product ranking
KW - Rainbow ranking
VL - 13
JA - IEEE Internet Computing
ER -
 
Qinyuan Feng, Peking University, China
Kai Hwang, University of Southern California
Yafei Dai, 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.

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Index Terms:
online shopping, e-commerce, product ranking, Rainbow ranking
Citation:
Qinyuan Feng, Kai Hwang, Yafei Dai, "Rainbow Product Ranking for Upgrading E-Commerce," IEEE Internet Computing, vol. 13, no. 5, pp. 72-80, Sept.-Oct. 2009, doi:10.1109/MIC.2009.113
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