Related Experiment Video
Updated: Apr 28, 2026

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
Published on: May 24, 2019
The application of similar image retrieval in electronic commerce
YuPing Hu1, Hua Yin1, Dezhi Han2
1School of Information, Guangdong University of Finance & Economics, Guangzhou 510320, China.
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.
Related Concept Videos
Factorial Design
Electronic Distance Measuring Instruments
Imaging Biological Samples with Optical Microscopy
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Scanning Electron Microscopy
Fundamental Principles
Accelerated...

