一种基于 QoE 量化评估的服务选择算法

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 QoE E-valuation(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 sat-isfaction 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 im-proved from O(n2)to O(n),and the user satisfaction ratio is elevated by 10% in the same simulation scenario.%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 QoE（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（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％。