Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/110042
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Type: Conference paper
Title: PLMwsp: Probabilistic latent model for web service QoS prediction
Author: Madi, B.
Sheng, Q.
Yao, L.
Qin, Y.
Wang, X.
Citation: Proceedings of the 2016 IEEE International Conference on Web Services, 2016 / ReiffMarganiec, S. (ed./s), pp.623-630
Publisher: IEEE
Issue Date: 2016
ISBN: 9781509026753
Conference Name: IEEE 23rd International Conference on Web Services (ICWS) (27 Jun 2016 - 02 Jul 2016 : San Francisco, CA)
Statement of
Responsibility: 
Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, and Xianzhi Wang
Abstract: 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 approach, PLMwsp, based on a probabilistic latent model, to predict effectively the QoS values ofWeb services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.
Keywords: Web Services; Quality of Service; Web Service Prediction; Probabilistic Latent Model
Rights: © 2016 IEEE
RMID: 0030057197
DOI: 10.1109/ICWS.2016.86
Appears in Collections:Computer Science publications

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