Application of Data Mining Technology in E-commerce Recommendation Systems under Cloud Computing Environment

Abstract

With the rapid development of e-commerce today, e-commerce platforms are facing fierce market competition, and consumer demands are diversified. If e-commerce platforms want to be invincible in the competition, they must provide more accurate and personalized
recommendation services. How the data mining technology is applied to the e-commerce recommendation system in the cloud computing
environment is discussed, the research status of cloud computing and data mining technology is expounded, and the methodology of data preprocessing, recommendation algorithm, and the selection and configuration of the cloud computing platform is explained in detail. The data
mining technology based on a cloud computing environment is applied to e-commerce recommendation systems. The test results show that
the collaborative filtering algorithm has the characteristics of high accuracy, high recall rate, high F1 value, AUC value and user satisfaction
performance, and becomes the preferred algorithm of e-commerce recommendation system; but the mining algorithm based on content recommendation algorithm and association rules shows some recommendation effect, but further optimization and improvement are needed.