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http://dx.doi.org/10.14400/JDC.2017.15.7.213

Deep learning based image retrieval system for O2O shopping mall platform service design  

Sung, Jae-Kyung (Dept. of Computer Engineering, Sejong University)
Park, Sang-Min (Dept. of Computer Engineering, Sejong University)
Sin, Sang-Yun (Dept. of Computer Engineering, Sejong University)
Kim, Yung-Bok (Dept. of Computer Engineering, Sejong University)
Kim, Yong-Guk (Dept. of Computer Engineering, Sejong University)
Publication Information
Journal of Digital Convergence / v.15, no.7, 2017 , pp. 213-222 More about this Journal
Abstract
This paper proposes a new service design which is deep learning-based image retrieval system for product search on O2O shopping mall platform. We have implemented deep learning technology that provides more convenient retrieval service for diverse images of many products that are sold in the internet shopping malls. In order to implement this retrieval system, real data used by shopping mall companies were used as experimental data. However, result from several experiments have confirmed deterioration of retrieval performance due to data components. In order to improve the performance, the learning data that interferes with the retrieval is revised several times, and then the values of experimental result are quantified with the verification data. Using the numerical values of these experiments, we have applied them to the new service design in this system.
Keywords
Deep Learning; Service Design; O2O; Shopping Mall; Classification System;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
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