Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
31 January 2020 |
15 February 2020 |
10 March 2020 |
Abstract: In the last two decades, the on-line trade knew a considerable development. In order to create a more personalized customer experience, to understand customer search intent, to provide more adaptive advertisements, to prevent from fraud in online transactions, to retargeting and recommend products and follow the costumer’s behaviour, many works based on machine learning are developed [1,2,3,4,5]. In this work, we will present some interesting researches and results of various applications of machine learning in the field of e-commerce proposed recently in the literature and discuss the advantages, difficulties and differences between the used machine learning algorithms. Inspired from previous works in the field mentioned above we will give and share ideas about new application of one or two of machine learning algorithm in e-commerce.
