Personalized Web Service Selection

Web services have shown the potential to have a significant impact on the business, however, also shownproblems like automatic service discovery or service interoperability issue. Because of today’s widevariety of services offered to perform a specific task, it is essential that users are guided in the eventualselection of appropriate services. In this paper we present an extensive study of different selectiontechniques towards advanced personalization of Web service selection. We propose the customization ofthe user profile to support different steps of interaction with services and propose techniques topersonalize each subsequent step. Our main contribution is an algorithm featuring the expansion ofservice requests by user-defined demands and wishes. Services not matching a user specification arediscarded on the fly and equally useful results of alternative services can be compared with respect touser provided preferences. We also present a case study to evaluate our personalization techniques.