DocumentCode :
2252942
Title :
Web Service Selection Based on Credible User Recommended and QoS
Author :
Cui, Yuehui ; Chen, Chang ; Zhao, Zhengde
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
May 30 2012-June 1 2012
Firstpage :
637
Lastpage :
642
Abstract :
For the issues of the existing method in the selection of web service blindness and customer service evaluation incredible, this paper presents a web service selection method based on credible user recommended and QoS. Firstly, searching for recommended user from the credible user group, distinguish the current user into the new user or old user, then adopt different recommended algorithm to form a list of web services´ recommended degree, Secondly, introducing the QoS model, to provide more objective service selection and satisfy the users´ preferences on QoS technical support, Finally, considering the accuracy of service feedback, the loop should be discovered and eliminated from the selected web service composition, which is in order to improve the service executive efficiency, and make the users´ web service feedback more objective and accurate. The combination of these three processes, solved the service choice blindness and trust shortage, and effectively improved the reliability and accuracy of the service selection. The experimental results verified the validity of this method.
Keywords :
Web services; quality of service; recommender systems; QoS model; QoS technical support; Web service blindness selection; Web service feedback; Web service recommended degree; credible user group; credible user recommended algorithm; customer service evaluation incredibility; objective service selection; quality of service; service executive efficiency; Computers; Educational institutions; Equations; Mathematical model; Quality of service; Recommender systems; Web services; Loop problem; Quality of Service (QoS); User Recommended; Web Service Selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
Type :
conf
DOI :
10.1109/ICIS.2012.119
Filename :
6211164
Link To Document :
بازگشت