A Markov Process-Based Model for the B2B E-commerce Trust Evaluation

In this paper, we explore the trust evaluation system of the enterprise in B2B e-commerce business and establish a trust evaluation model based on the Markov process, which includes time, the heavy-weight of transactions and the reputation of buying agents as the restraining variables. They control the five effect factors for building a stably credit evaluation model. Itpsilas confirmed that the Markov process-based model for the B2B e-commerce trust evaluation has better stability and the ability for anti-jamming through the simulation. The result of the experiment indicates we calculate the trust of selling agents factually by the trust evaluation model of this paper and reduce the risk of transaction.