一种复合计算信誉度模型研究  

A Complex Computational Model of Reputation

作　　者：殷华英[1] 杨红梅 YIN Hua-ying;YANG Hong-mei(Department of Computer and Information Engineering, Chengde Petroleum College,Chengde 067000,Hebei, China)

机构地区：[1]承德石油高等专科学校计算机与信息工程系,河北承德067000

出　　处：《承德石油高等专科学校学报》2020年第3期42-45,52,共5页Journal of Chengde Petroleum College

摘　　要：信誉度是web服务Qos的一个重要参数,也是web服务选择的一个重要依据。通过对web服务相关信誉度算法的研究,提出了一种基于用户主观评分和客观可信度的信誉度计算模型。根据对影响用户评分主观因素分析,确定其信誉度计算方法。客观可信度的计算由历史数据通过贝叶斯学习理论来实现。最后通过仿真实验验证了本模型的有效性和准确性。Reputation is one of the important parameters of the web service Qos,and it is also an important basis for web service selection.Through the research of reputation algorithm related with web service,the paper presents a reputation computational model based on the user subjective ratings and objective credibility.According to the analysis of subjective rating influence factors,the method for calculating reputation is ensured.The paper calculates objective credibility by historical data by Bayes learning theory.Finally it uses simulation experiment to verify the effectiveness and accuracy of the model.

关 键 词：WEB服务 信誉度 QOS 贝叶斯学习理论 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]