Volume 8 Number 12 ( Dec. 2013)
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JSW 2013 Vol.8(12): 3182-3187 ISSN: 1796-217X
doi: 10.4304/jsw.8.12.3182-3187

An Approach to Online Recommendation of Products with High Price-Performance Ratios Based on a Customized Price-Dominance Relationship

Hongfa Wang, Chen Xing

Zhejiang University of Water Resources and Electric Power, Hangzhou, China

Abstract—Automatic and customized recommendation of products with high price-performance ratios is an important task in online shopping and booking in e-commerce. However, existing studies and techniques have not provided solutions to this problem. For example, existing recommendation techniques mainly recommend products which tend to be interesting for customers; existing skyline search techniques aim to find the best items (best in terms of each attribute) from candidates disregarding customized criteria. This paper introduces a customized pricedomination relationship for determining which product has a higher price-performance ratio in two given candidates, and proposes customized Skyline sets. Based on customized Skyline search, an approach is proposed for recommending products with the highest price-performance ratio to customers given their personalized parameters. The proposed approach is applied to hotel recommendations online. Experimental results demonstrate that the approach is capable of recommending hotels with the highest priceperformance ratio to customers according to their measurement criteria. The proposed recommendation approach can help customers find cheap products of high qualities efficiently and effectively.

Index Terms—Electronic commerce, customized recommendation, price-performance ratio, price dominance relationship.


Cite: Hongfa Wang, Chen Xing, "An Approach to Online Recommendation of Products with High Price-Performance Ratios Based on a Customized Price-Dominance Relationship," Journal of Software vol. 8, no. 12, pp. 3182-3187, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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