PerCom: A personalized web service composer assisting non-expert users

Recently, web service composition is one of the challenging tasks of service provisioning, especially when considering the various functional and non-functional capabilities that Web services may afford and users may require. Most of currently studies in this field are supposed that users have special knowledge about web services. In this paper, we propose a personalized web service composer that considers non-expert users and afford them the most suitable composition according to their interests and preferences. In another word, to shelter non-expert users from the complexity of service composition, we keep information of the users including interests, preferences, behaviors and etc. In a user model provided for this reason and apply them in web service selection, work flow ranking and web service composition. Also, we update user profiles through analyzing unselected workflows by the user. We test our model in the economy domain by 70 users. Results show that our model delivers more appropriate composite services according to the user profile without any specific knowledge required for the user in comparison with current web service composition methods.