Design of Shopping Guide System with Image Retrieval Based on Mobile Platform

Abstract

with the continued rapid growth of Smartphone user group and rapid development of e-commerce, shopping guide system with image retrieval based on mobile platform is increasingly attracting attention. The portability and convenient camera feature of mobile phone allow mobile phone to have a natural advantage in e-commerce shopping. In order to adapt to the future trends of e-commerce, this paper studied mobile platform-based image retrieval technology and constructed an e-commerce-oriented shopping guide platform with commodity retrieval based on mobile devices. The platform supports the simple and convenient interaction methods and cutout design, and can provide effective retrieval results to make up for the deficiencies of the existing image retrieval system, thus has good practical value and significance of reference.

intelligent deep learning based product image recommendation and classification system

“…Also, it positively impacted the economy of countries around the work by enhancing Gross Domestic Product (GDP). For the first time in history, The PricewaterhouseCoopers (PwC) in South Africa have stated that user online retail shopping sales exceeded a trillion Rand (South Africa currency) that is improved to 1.46 trillion Rand in 2016 [2]. Moreover, similar sources stated that because of the global rise in e-commerce, the collective GDP of Africa continent is anticipated for increasing by US $1trillion in 2020, i.e., US$1.6 trillion by 2010.…”