Research And Implementation Of Mobile E-Commerce Credit System

Trust prediction is very important for the norm and development of mobile e-commerce. Trust predictive value can help consumers effectively avoid the transaction risk, and support them whether or not to continue further trading. This paper analyzed the issues related to trust in the mobile e-commerce trasactions, proposed a trust predictive solution based on the cognitive habits of human psyche. The main contents are as follows:(1) Construction of the trust mechanism which based on human trust mechanism. Trust relationship is essentially an abstract psychological "cognitive" process; this paper embodied the basic psychological process in the dynamic trust prediction algorithm of mobile e-commerce, combined with online business credit feedback and online recommendation trust evaluation, proposed a trust prediction mechanism for mobile e-commerce.(2) Proposed trust prediction method which based on improved gray prediction model. Improve gray prediction algorithm (I-GM) to increase its prediction accuracy, and apply it to the mobile e-commerce.(3) Design and implication of mobile e-commerce trust predictive system. This system has two core modules: the basic data collection module and trust prediction module. Basic data collection module is mainly used to collect the basic data which used in the prediction of trust; trust prediction module used the collected basic data as the original data set, combined with the improved gray prediction algorithm, forecasted the trust value.