User Behavior Trust Evaluation Model Based on the AHP Algorithm

Abstract
According to those defects of user behavior trust evaluation methods in subjective classification weight and dynamic adaptability, in this paper, the traditional Analytic Hierarchy Process has been optimized and improved, we research and presents a credible assessment of new improved user behavior model based on AHP. The method combines user behavior activity, incentive factor on a comprehensive assessment of user behavior, and demonstrates the feasibility of the method by an example. The results show that the evaluation model can adapt to the dynamic changes in user behavior trust, objectively determine the weight of each decision attribute, and can accurately and effectively assess the credibility of user behavior.