Consumer Online Shopping Behavior Prediction Based on Machine Learning Algorithm

Based on the data of real users, goods and consumption behaviors of e-commerce platforms, this paper uses data mining technology and machine learning algorithm to build a prediction model of consumers’ online shopping behavior, so as to better analyze consumers’ online shopping behavior, and provide data support for the realization of precision marketing of e-commerce enterprises. Through model verification and final model evaluation, the accuracy of the model is 0.91, indicating that the model can scientifically and accurately predict consumers’ purchase behavior intention on the e-commerce platform in most cases.