Bayesian Network Based Services Recommendation
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...
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Institutional Knowledge at Singapore Management University
2009
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sg-smu-ink.sis_research-14972010-09-24T06:36:22Z Bayesian Network Based Services Recommendation WU, J. Jian, H. LIANG, Qianhui (Althea) 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. 2009-12-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/498 info:doi/10.1109/APSCC.2009.5394105 http://dx.doi.org/10.1109/APSCC.2009.5394105 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Bayesian Network Service recommendation Computer Sciences Numerical Analysis and Scientific Computing |
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Singapore Singapore |
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Bayesian Network Service recommendation Computer Sciences Numerical Analysis and Scientific Computing |
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Bayesian Network Service recommendation Computer Sciences Numerical Analysis and Scientific Computing WU, J. Jian, H. LIANG, Qianhui (Althea) Bayesian Network Based Services Recommendation |
| description |
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. |
| format |
text |
| author |
WU, J. Jian, H. LIANG, Qianhui (Althea) |
| author_facet |
WU, J. Jian, H. LIANG, Qianhui (Althea) |
| author_sort |
WU, J. |
| title |
Bayesian Network Based Services Recommendation |
| title_short |
Bayesian Network Based Services Recommendation |
| title_full |
Bayesian Network Based Services Recommendation |
| title_fullStr |
Bayesian Network Based Services Recommendation |
| title_full_unstemmed |
Bayesian Network Based Services Recommendation |
| title_sort |
bayesian network based services recommendation |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2009 |
| url |
https://ink.library.smu.edu.sg/sis_research/498 http://dx.doi.org/10.1109/APSCC.2009.5394105 |
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1770570442381197312 |