The Application of Similar Image Retrieval in Electronic Commerce

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 c...

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Main Authors: YuPing Hu, Hua Yin, Dezhi Han, Fei Yu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/579401
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author YuPing Hu
Hua Yin
Dezhi Han
Fei Yu
author_facet YuPing Hu
Hua Yin
Dezhi Han
Fei Yu
author_sort YuPing Hu
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-018a0f4d23dd45e8a8533663675c015c2025-02-03T05:58:44ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/579401579401The Application of Similar Image Retrieval in Electronic CommerceYuPing Hu0Hua Yin1Dezhi Han2Fei Yu3School of Information, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaSchool of Information, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 20130, ChinaSchool of Information, Guangdong University of Finance & Economics, Guangzhou 510320, ChinaTraditional 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.http://dx.doi.org/10.1155/2014/579401
spellingShingle YuPing Hu
Hua Yin
Dezhi Han
Fei Yu
The Application of Similar Image Retrieval in Electronic Commerce
The Scientific World Journal
title The Application of Similar Image Retrieval in Electronic Commerce
title_full The Application of Similar Image Retrieval in Electronic Commerce
title_fullStr The Application of Similar Image Retrieval in Electronic Commerce
title_full_unstemmed The Application of Similar Image Retrieval in Electronic Commerce
title_short The Application of Similar Image Retrieval in Electronic Commerce
title_sort application of similar image retrieval in electronic commerce
url http://dx.doi.org/10.1155/2014/579401
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