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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai Zheng Hailing Xiong Yujie Cui Jianbang Chen Lu Han |
| Copyright Year | 2012 |
| 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. |
| Starting Page | 276 |
| Ending Page | 279 |
| File Size | 262574 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467316835 |
| e-ISBN | 9780769547053 |
| DOI | 10.1109/ICICSE.2012.40 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Computers Web services Service matching QoS Clustering algorithms Quality of service Libraries Registers User cluster Web service discovery |
| Content Type | Text |
| Resource Type | Article |
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