Simulation of E-business User Interest Mining Based on Cloud Computing

Abstract

E-business websites provide users with more and more choices. At the same time, under the massive commodity information, users often lose themselves and cannot find the commodities they need. In the increasingly fierce competition of e-business, personalized recommendation system is increasingly sought after by enterprises and has become an important field of e-business research. In this paper, the technology of big data processing based on cloud computing is used to study the implementation technology of e-business intelligent recommendation algorithm and the comprehensive evaluation method of recommendation system in big data environment, and an e-business user interest mining model is constructed to meet the personalized intelligent recommendation requirements of e-business in big data environment. The results show that the error of the proposed user data mining algorithm is small, and the accuracy rate is high, reaching 96.85%. It is of great theoretical significance and economic value to study the intelligent recommendation system of e-business based on cloud computing technology to improve the effectiveness, scale and real-time of personalized recommendation system of e-business and enhance the level of personalized precision marketing.