Product image classification techniques

Abstract

The excessive amount of e-commerce products within the last few years has become a serious problem for shoppers when searching for relevant product information. This led to the emergence of a recommendation technology that has the capability to discover relevant shopping products that meet the user’s preferences. Classification is a machine learning technique that could assist in increasing scalability, creating dynamic user profiles and ultimately improve recommendation accuracy. Many researches have been done in the area of image classification with e-commerce product images. This paper surveys the e-commerce product image classification techniques. This paper examines current practices, problems, and prospects of product image classification. The emphasis is placed on the account of major advanced classification approaches and also the techniques used for improving classification accuracy. This survey involves reviewing the research work done by different professionals and assembling it into one paper.