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Journal of Intelligent Systems and Internet of Things
Volume 0 , Issue 1, PP: 05-14 , 2019 | Cite this article as | XML | Html |PDF

Title

A New Method for Web Service Recommendation Based on QoS Prediction

  Mahmoud A. Salam 1 *

1  Information Technology Department, Faculty of Computers and Information, Mansoura University, Egypt
    (Mahmoud20@mans.edu.eg)


Doi   :   https://doi.org/10.54216/JISIoT.000101


Abstract :

As service-oriented architecture gains in popularity and grows in popularity, Web service recommendation and composition have become more important topics for research. Accurately predicting individualized QoS recommendations for recommending web services is a difficult task because of the inconsistency of the Internet and the scarcity of information regarding QoS history. Our team suggests a new framework for QoS values’ prediction and also presents two methods for clustering, User_BC and Service_BC, to support QoS prediction accuracy. Hierarchical clustering is used, based on the QoS dataset of PlanetLab1  (that) contains 200 service-user response time values, with 1,597 service values overall. In our research, we've found that our clustering-based methods beat other popular algorithms in detailed experimental comparisons and analyses.

Keywords :

Recommendation , WS , PSO , QoS prediction , clustering

References :

[1] L. Zhang, J. Zhang, and H. Cai, Services Computing: Core Enabling Technology of the Modern Services Industry. Tsinghua University Press, 2007. 

[2] Z. Zheng, “QoS management of web services,” Ph.D. dissertation, The Chinese University of Hong Kong, 2011. 

[3] Z. Zheng and M. R. Lyu, “Collaborative reliability prediction of service-oriented systems,” in Proc. of the ACM ICSE’10, 2010, pp. 35–44. 

[4] K. Karta, An Investigation on Personalized Collaborative Filtering for Web Service Selection, Honours Programme thesis, University of Western Australia, Brisbane, 2005. 

[5] L. Shao, J. Zhang, Y. Wei, J. Zhao, B. Xie, and H. Mei, “Personalized QoS prediction for web services via collaborative filtering,” in Proc. of the IEEE ICWS’07, 2007, pp. 439 –446. 

[6] Z. Zheng, H. Ma, M. R. Lyu, and I. King, “WSRec: A collaborative filtering based web service recommender system,” in Proc. of the IEEE ICWS’09, 2009, pp. 437–444. 

[7] Q. Xie, K. Wu, J. Xu, P. He, and M. Chen, “Personalized context-aware QoS prediction for web services based on collaborative filtering,” in Proc. of the 6th Int’l Conference on Advanced Data Mining and Applications (ADMA’10), 2010, pp. 368–375. 

[8] V. Cardellini, E. Casalicchio, V. Grassi, and F. L. Presti, “Flow-based service selection for web service composition supporting multiple QoS classes,” in Proc. of the IEEE ICWS’07, 2007, pp. 743–750.

[9] J. E. Haddad, M. Manouvrier, G. Ramirez, and M. Rukoz, “QoS-driven selection of web services for transactional composition,” in Proc. of the IEEE ICWS’08, 2008, pp. 653–660. 

[10] Z. Zheng and M. R. Lyu, “A distributed replication strategy evaluation and selection framework for fault tolerant web services,” in Proc. of the IEEE ICWS’08, 2008, pp. 145–152. 

[11] X. Chen, X. Liu, Z. Huang, and H. Sun, “RegionKNN: A scalable hybrid collaborative filtering algorithm for personalized web service recommendation,” in Proc. of the IEEE ICWS’10, 2010, pp. 9–16. [12] Y. Jiang, J. Liu, M. Tang, and X. F. Liu, “An effective web service recommendation method based on personalized collaborative filtering,” in Proc. of the IEEE ICWS’11, 2011. 

[13] V. K. Pang-Ning Tan, Michael Steinbach, Introduction to Data Mining. First Edition. Addison Wesley Longman Publishing Co. Inc., 2005

 

                                                                                               

 

 

 

 

 

 

 


Cite this Article as :
Style #
MLA Mahmoud A. Salam. "A New Method for Web Service Recommendation Based on QoS Prediction." Journal of Intelligent Systems and Internet of Things, Vol. 0, No. 1, 2019 ,PP. 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)
APA Mahmoud A. Salam. (2019). A New Method for Web Service Recommendation Based on QoS Prediction. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 1 ), 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)
Chicago Mahmoud A. Salam. "A New Method for Web Service Recommendation Based on QoS Prediction." Journal of Journal of Intelligent Systems and Internet of Things, 0 no. 1 (2019): 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)
Harvard Mahmoud A. Salam. (2019). A New Method for Web Service Recommendation Based on QoS Prediction. Journal of Journal of Intelligent Systems and Internet of Things, 0 ( 1 ), 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)
Vancouver Mahmoud A. Salam. A New Method for Web Service Recommendation Based on QoS Prediction. Journal of Journal of Intelligent Systems and Internet of Things, (2019); 0 ( 1 ): 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)
IEEE Mahmoud A. Salam, A New Method for Web Service Recommendation Based on QoS Prediction, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 0 , No. 1 , (2019) : 05-14 (Doi   :  https://doi.org/10.54216/JISIoT.000101)