Method and Research of E-commerce Consumers' Purchasing Behavior Forecast and Analysis Based on Machine Learning

Machine learning has been widely used in all walks of life, especially in the ever-growing field of e-commerce. With the rapid development of big data, artificial intelligence and cloud computing, how to use good analysis and prediction methods to accurately analyze consumers’ purchase behavior, so as to predict and understand consumers’ purchase habits, interests and behavior rules, and then to make targeted personalized recommendations and accurate marketing for customers to meet the specific needs of consumers, has always been a concern of e-commerce related enterprises. In this paper, a predictive analysis method is proposed to analyze e-commerce consumers’ purchase behavior by using machine learning, aiming at providing support for e-commerce related enterprises to carry out personalized service and precise marketing, and providing certain reference for the theoretical research and development of