National Program on Key Basic Research Project of China (973 Program) (No.2013CB329103);National Natural Science Foundation of China (No.61201129, No.61271171, No.61001084);Supported by Program for Changjiang Scholars and Innovative Research Team and Overseas Expertise Introduction Project for Discipline Innovation (“111Project”) (No.B14039)
LI Chun-lin, LIAO Dan, XIONG Ling, et al. A Service Selection Algorithm Based on Quantified QoE Evaluation[J]. Acta Electronica Sinica, 2015, 43(11): 2145-2150.
DOI:
LI Chun-lin, LIAO Dan, XIONG Ling, et al. A Service Selection Algorithm Based on Quantified QoE Evaluation[J]. Acta Electronica Sinica, 2015, 43(11): 2145-2150. DOI: 10.3969/j.issn.0372-2112.2015.11.002.
A Service Selection Algorithm Based on Quantified QoE Evaluation
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
(
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%.
Abstract
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 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 algorithm
s.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.