Diversifying Web Service Recommendation Results via Exploring Service Usage History

Diversifying Web Service Recommendation Results via Exploring Service Usage History

Abstract— Diversifying Web Service Recommendation Results via Exploring Service Usage History. The last decade has witnessed a tremendous growth of Web services as a major technology for sharing data, computing resources, and programs on the Web. With the increasing adoption and presence of Web services, design of novel approaches for effective Web service recommendation to satisfy users’ potential requirements has become of paramount importance. Existing Web service recommendation approaches mainly focus on predicting missing < Final Year Projects 2016 > values of Web service candidates which are interesting to a user using collaborative filtering approach, content-based approach, or their hybrid. These recommendation approaches assume that recommended Web services are independent to each other, which sometimes may not be true. As a result, many similar or redundant Web services may exist in a recommendation list.