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With the unprecedented and dramatic development of Web services in recent years, designing novel approaches for efficient Web service prediction has become of paramount importance. Quality of Service (QoS) plays a critical role in Web service recommendation. However determining QoS values of Web services is still a challenging task. For example, some QoS properties (e.g., response time, throughput) may hold different values for different users. In this paper, we describe how to develop a noveldoi:10.1109/icws.2016.86 dblp:conf/icws/MadiSYQW16 fatcat:sdvd5cp6abbb5klikagnfaogqi