一种基于QoE量化评估的服务选择算法  

A Service Selection Algorithm Based on Quantified QoE Evaluation

作　　者：李春林[1] 廖丹[2] 熊玲[3] 黄月江[1] 

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041 [2]西南交通大学,四川成都610031 [3]电子科技大学,四川成都611731

出　　处：《电子学报》2015年第11期2145-2150,共6页Acta Electronica Sinica

基　　金：国家"973"重点基础研究发展计划(No.2013CB329103);国家自然科学基金(No.61201129;No.61271171;No.61001084);长江学者和创新团队发展计划;高等学校学科创新引智计划资助(No.B14039)

摘　　要：针对如何为互联网用户从多个相同或相似的服务中进行选择的问题,提出了一种新的服务选择算法:基于Qo E(Quality of Experience)量化评估的服务选择算法(A Service Selecting Algorithm Based on Quantified Qo E Evaluation,ASSABQ).该算法基于一种层次化评分模型,从历史评分中学习获取用户偏好,根据多种评价因素计算每个可用服务的满意度,并选择满意度最高的服务给用户.与已知算法相比,ASSABQ算法的复杂度从O(n2)下降到O(n).仿真实验结果表明,在相同应用场景下,采用ASSABQ算法得到的用户满意度比已知算法提高约10%.Aiming at the problem of selecting a better service with the same or similar functions,one method is considering the users＇ experiences on the service quality. Then an algorithm called A Service Selecting Algorithm Based on Quantified Qo E Evaluation（ ASSABQ） is proposed. The algorithm is deduced from a hierarchy rating model and the corresponding user preferences. User preferences can be acquired from analyzing the statistical data of users＇ satisfaction feedbacks. Each service is rated with a satisfaction score according to the algorithm. The highest scored service will be selected to the user. Experiments compare the algorithm with both different configurations and algorithms. Compared to FCE-RS algorithm,the algorithm complexity of ASSABQ is improved from O（ n^2） to O（ n）,and the user satisfaction ratio is elevated by 10% in the same simulation scenario.

关 键 词：服务选择 层次化模型 体验质量 用户偏好 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]