摘要
In this paper, we design and create the novel multivariate optimization theory based approach for building the paradigm. From the seller, web sites, the external environment, the respect such as online trust building credibility evaluation index system. To factors affecting online trust as input will trust composite scores as the output, and then, using BP neural network technology, from the perspective of buyers and build a C2C e-commerce trust evaluation model. The multivariate optimization theory helps us modify the current pattern to be more feasible and robust. In the near future, we have scheduled to polish the neural network part to obtain better performance.
