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中文摘要：
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 QoE 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（n^2）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%.
英文摘要：
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.
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