Abstract
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.
Highlights
With the development of informatization in the small- and medium-sized enterprises, online marketing becomes a good choice for these enterprises [1, 2]
Customer can automatically search similar image according to their favorite pictures from information platform by
Applying similar image retrieval to electronic commerce can fill in the blank market and provide a convenient way to search commodities which are difficult to describe by internet users
Summary
With the development of informatization in the small- and medium-sized enterprises, online marketing becomes a good choice for these enterprises [1, 2]. Despite electronic commerce customer or electronic commerce suppliers, online shopping needs to combine with visual, interactional, and functional new image searching technology. Starting with solving the problem of traditional online marketing, we research the application of similar image retrieval in electronic commerce and promote the corresponding application system design proposal. This system connects information platform with purchase platform. The system can automatically collect the product information from the other online shopping platform, provide direct similar image retrieval for customers, and display the search results with the customized way. The semantic features of image, which describe the image content, are qualitative They are extracted by artificial way or human-computer interaction
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