A Time-Aware Dynamic Service Quality Prediction Approach for Services

作     者：Ying Jin Weiguang Guo Yiwen Zhang Ying Jin;Weiguang Guo;Yiwen Zhang

作者机构：Department of ManagementHefei UniversityHefei 230601China School of Computer Science and Technologyand also with the Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui UniversityHefei 230601China 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2020年第25卷第2期

页      面：227-238页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (No.61872002) the National Natural Science Foundation of Anhui Province of China (No.1808085MF197) the Philosophy and Social Science Planned Project of Anhui Province (No. AHSKY2015D67) 

主　　题：dynamic Quality of Service(QoS)prediction time-aware service recommendation 

摘      要：Dynamic Quality of Service(QoS)prediction for services is currently a hot topic and a challenge for research in the fields of service recommendation and *** paper addresses the problem with a Time-aWare service Quality Prediction method(named TWQP),a two-phase approach with one phase based on historical time slices and one on the current time *** the first phase,if the user had invoked the service in a previous time slice,the QoS value for the user calling the service on the next time slice is predicted on the basis of the historical QoS data;if the user had not invoked the service in a previous time slice,then the Covering Algorithm(CA)is applied to predict the missing *** the second phase,we predict the missing values for the current time slice according to the results of the previous phase.A large number of experiments on a real-world dataset,WS-Dream,show that,when compared with the classical QoS prediction algorithms,our proposed method greatly improves the prediction accuracy.