Recommend me a Service: Personalized Semantic Web Service Matchmaking

In the Semantic Web the discovery of appro-priate Semantic Web Services for a given ser-vice request, the so-called matchmaking, is a crucial task in order to bring together Web Ser-vice provider and users in an automatic man-ner. While most of the current matchmaking al-gorithms focus on purely syntactic or semantic similarity or a combination of both (hybrid ap-proaches), the user is not taken into account in the matchmaking process itself. Hence, specific preferences and needs of a user are not taken into account in the matchmaking process. In this paper we show how users can be engaged in the matchmaking process by providing Web 2.0 interaction to collect user feedback. Further-more, we present the ongoing work of the inte-gration of collaborative filtering algorithms into the matchmaking process to generate personal-ized matchmaking results.