Research on user trust evaluation of social e-commerce platform based on artificial neural network

Due to the problems of poor evaluation accuracy and low evaluation efficiency existing in traditional social e-commerce platform user trust evaluation methods, a social e-commerce platform user trust evaluation method based on artificial neural network is proposed. According to the business factors, environmental factors and social factors, the evaluation system of user trust degree of social e-commerce platform is constructed, so as to build the objective function of user trust degree evaluation index weight calculation of social e-commerce platform. The objective function is optimized by using artificial neural network to obtain the evaluation index weight, and the evaluation model is constructed combined with the calculation results, complete the user trust evaluation of social e-commerce platform. Simulation results show that the proposed method has higher accuracy and shorter evaluation time.