In today’s competitive e-commerce platforms, recommender systems are essential components that increase sales and client engagement. This study present types of recommender systems used in e-commerce platforms which include content-based, collaborative and hybrid as well as some machine learning techniques can also use in recommender system. We also provide proposed methodology that can be used to represent flow of recommender system. And also, we address the benefits and challenges that machine learning based e-commerce recommender systems have.