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
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;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4673-1683-5
DOI :
10.1109/ICICSE.2012.40
