A quantitative model for user preferences based on qualitative specifications
Proceedings of the 2009 international conference on Pervasive services
Web Service Selection with Incomplete or Inconsistent User Preferences
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Top-k service compositions: a fuzzy set-based approach
Proceedings of the 2011 ACM Symposium on Applied Computing
A fuzzy framework for selecting top-k web service compositions
ACM SIGAPP Applied Computing Review
Web Service Selection with Quantitative and Qualitative User Preferences
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Majority-Rule-Based web service selection
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
A Survey of Web Services Provision
International Journal of Systems and Service-Oriented Engineering
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Selecting services from those available according to user preferences plays a important role in Web services composition. Current solutions for service selection focus on selecting services quantitatively. In many domains it is desirable to assess such preference in a qualitative rather than quantitative way. Furthermore, in many practical situations, if the user is reluctant to provide complete preference information or to totally order the values of each attributes in every possible context, it is natural to ask how to model in these incompletely specified cases. This paper uses a qualitative graphical representation tool, called CP-nets, to describe qualitative preference relations in a relatively compact, intuitive, and structured manner under conditional ceteris paribus (all else being equal) preference statements. Our goal is to select the optimal set of services available according to user preference with this technique. Experiment results demonstrate the effectiveness and performance of this approach.