A Collaborative Filtering Method for Web Data Service in Cloud Environment

Abstract

With the widely use of cloud service oriented computing techologies in software application development models, many enterprises release a large number of Web APIs in the cloud environment, which makes the number of Web services explode. However, the methods of Web service computing in the cloud environment cannot meet the individual needs of users. Thus, how to accurately and efficiently recommend suitable component services according to the functional requirements of cloud Mashup technology has become a hot research issue. To deal with massive Web services in the cloud environment, this paper summarizes and analyzes the Mashup development technology in Web services. In this paper, we also propose a noval approach to select the most suitable Web service filtering method according to Mashup. Further more, the related technologies of web service and Mashup collaborative service recommendation are introduced in this paper to provide a useful theoretical reference for the model and algorithm research of cloud service computing.