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The Scientific World Journal
Volume 2014, Article ID 579401, 7 pages
Research Article

The Application of Similar Image Retrieval in Electronic Commerce

1School of Information, Guangdong University of Finance & Economics, Guangzhou 510320, China
2College of Information Engineering, Shanghai Maritime University, Shanghai 20130, China

Received 6 August 2013; Accepted 11 February 2014; Published 22 April 2014

Academic Editors: J. Shu and G. Yue

Copyright © 2014 YuPing Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Traditional online shopping platform (OSP), which searches product information by keywords, faces three problems: indirect search mode, large search space, and inaccuracy in search results. For solving these problems, we discuss and research the application of similar image retrieval in electronic commerce. Aiming at improving the network customers’ experience and providing merchants with the accuracy of advertising, we design a reasonable and extensive electronic commerce application system, which includes three subsystems: image search display subsystem, image search subsystem, and product information collecting subsystem. This system can provide seamless connection between information platform and OSP, on which consumers can automatically and directly search similar images according to the pictures from information platform. At the same time, it can be used to provide accuracy of internet marketing for enterprises. The experiment shows the efficiency of constructing the system.