Machine learning (ML) has intricately woven itself into the fabric of e-commerce, exerting a profound influence on its evolutionary path. This research paper conducts a thorough exploration of the dynamic intersection between ML and e-commerce, offering a detailed examination of various ML algorithms applied in this domain. Through illuminating case studies, the practical applications of these algorithms are elucidated. The paper also scrutinises the contemporary landscape, dissecting the challenges faced in implementing ML within e-commerce settings. In addition, it outlines future directions and emerging trends, presenting a forward-looking perspective that enriches the ongoing discourse on the symbiotic relationship between ML and the continually evolving landscape of e-commerce.
Mamo et al. (Thu,) studied this question.