Classification and Prediction of Purchasing Behavior of E-Commerce Users Based on Machine Learning

With the wide application of e-commerce platform, the data analysis of user purchasing behavior has become an important research content in the field of e-commerce. This study analyzes the main characteristics of e-commerce users' purchasing behaviors, designs a classification and prediction algorithm based on machine learning, identifies the influencing factors of user purchases, and predicts users' purchasing behaviors. The experimental results of this study show that the algorithm significantly improves the accuracy of purchasing behavior prediction.