Research on Information Fusion Method of Mobile Commerce based on Monte Carlo Algorithm under Big Data Environment

In the large data environment, the amount of mobile e-commerce information increases sharply and highlights the characteristics of users' location. How to utilize the user's location quickly and effectively to find the valuable information of the users and supply them with the decision-making service becomes one of the important subjects of the mobile electronic commerce in recent years. Based on the traditional Monte Carlo algorithm, this paper proposes an improved Monte Carlo algorithm, a fast Monte Carlo algorithm, which can effectively solve the problem of particle degradation in the traditional algorithm. Finally, the simulation experiment is carried out. Compared with the traditional information fusion method, the experiment demonstrates that the fusion method has high accuracy and reduces the complexity of the system algorithm, so that the e-commerce platform can predict the users' behavior information more accurately and can provide decision-making services more appropriately.