基于动态需求服务反馈的Web业务可信度协同计算

Web business confidence collaborative computing based on dynamic demand service feedback

针对Web服务和Web业务的选择问题,提出一种基于动态需求服务反馈的Web业务可信度协同计算算法,动态分析了用户的Web服务选择和组合问题,采用了基于用户满意度信息的服务反馈模型来解决Web服务的选择问题,从而防止Web业务选择到服务质量较差的服务类型。在Web业务的选择上采用了基于可信度计算的方法,可信度大小由业务信誉度、反馈能力、服务信任度三方面决定,通过可信度大小的比较来选择最佳的Web业务。实验仿真结果表明,该算法在选择最佳的Web服务和Web业务上具有较高的精确度,尤其在选择最佳Web服务的精确率上相比对比算法高出11%以上。

For Web service and Web business selection problem,this paper proposed a based on the dynamic needs of Web business credibility feedback collaborative computing algorithms. Dynamic analysis of the problem of Web service selection and combination of the user＇s choice using a service-based model of user satisfaction feedback information to address Web services,Web business in order to prevent poor quality of services to choose the type of service. In selecting business on the Web using a calculation method based on credibility,the credibility of the size of feedback capability,trust serviced in three areas determined by the business reputation,to choose the best Web credibility by comparing the size of the business. Simulation results show that the algorithm has a higher accuracy in selecting the best Web services and Web business,especially in contrast to the precise rate compared choose the best algorithm for Web service higher than 11%.