PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction

Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang
2016 2016 IEEE International Conference on Web Services (ICWS)  
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 novel
more » ... to develop a novel approach, PLMwsp, based on a probabilistic latent model, to predict effectively the QoS values of Web services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.
doi:10.1109/icws.2016.86 dblp:conf/icws/MadiSYQW16 fatcat:sdvd5cp6abbb5klikagnfaogqi