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Machine Learning in E-Commerce: A Survey by navinduliyanapathirana is a document available to read on EtoBox.

This paper surveys machine learning and deep learning techniques applied to e-commerce from 2018 to 2023, highlighting state-of-the-art approaches, key topics, and challenges. It covers various methods such as support vector machines, neural networks, and their applications in areas like sentiment analysis and fraud detection. The study emphasizes the need for further research to tackle evolving challenges in the dynamic e-commerce landscape.

Author
navinduliyanapathirana
Language
EN