DocumentCode
2605966
Title
User Clustering-Based Web Service Discovery
Author
Zheng, Kai ; Xiong, Hailing ; Cui, Yujie ; Chen, Jianbang ; Han, Lu
Author_Institution
Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
fYear
2012
fDate
21-23 April 2012
Firstpage
276
Lastpage
279
Abstract
User clustering-based Web service discovery method is presented to deal with lower efficiency of query in current Web service discovery methods. In order to solve this problem, by analyzing the characteristics of Web service and user, get the conclusion that user with similar interest will be interested in similar services. Therefore, by clustering users and establishing recommendation service library, can recommend the service to the user. And a QoS matching is added to satisfy the need of QoS. Experimental results showed that this method is effective and is able to increase the preciseness and ensure the QoS.
Keywords
Web services; pattern clustering; recommender systems; QoS matching; recommendation service library; user clustering-based Web service discovery method; Algorithm design and analysis; Clustering algorithms; Computers; Libraries; Quality of service; Registers; Web services; QoS; Service matching; User cluster; Web service discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4673-1683-5
Type
conf
DOI
10.1109/ICICSE.2012.40
Filename
6239763
Link To Document