Bayesian Network Based Services Recommendation
Publication Type
Conference Proceeding Article
Publication Date
12-2009
Abstract
Nowadays, how to efficiently compose Web services has become a hotspot. In this paper, we introduce a method of recommending an optimal service sequence based on the original service sequence for a composite service. This method uses a Bayesian-based approach and selects the service sequence that has the largest probability as the best choice. Compared with existing methods, this method has two advantages: firstly, service sequences recommended by this method are robust; secondly, this method produces a composite service with a high quality and it does this efficiently. We have conducted experiments to illustrate how our work helps facilitate Web service composition.
Keywords
Bayesian Network, Service recommendation
Discipline
Computer Sciences | Numerical Analysis and Scientific Computing
Research Areas
Information Systems and Management
Publication
IEEE Asia-Pacific Services Computing Conference
ISBN
9781424453382
Identifier
10.1109/APSCC.2009.5394105
Publisher
IEEE
Citation
WU, J.; Jian, H.; and LIANG, Qianhui (Althea).
Bayesian Network Based Services Recommendation. (2009). IEEE Asia-Pacific Services Computing Conference.
Available at: https://ink.library.smu.edu.sg/sis_research/498
Additional URL
http://dx.doi.org/10.1109/APSCC.2009.5394105