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Quality Web Services Recommendation System Based on Enhanced Personalized Hybrid Collaborative Filtering Approach


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DOI: https://doi.org/10.15866/irecos.v10i3.4890

Abstract


Web service is an emerging technology in this decade for its openness and loosely coupled interaction among systems. Due to the proliferation of web services, more number of web services is available for similar functionality. QoS deals about the non-functional information of a Web services. Furthermore, QoS plays a vital role for differentiating web services which has similar functionality. Predicting the QoS value of a web service is an important process for web service discovery and selection. Due to the different network environment includes bandwidth, capacity and delay, the QoS value of a web service is differs from user to user. Therefore, QoS prediction is imperative for a recommendation system to provide best services based on QoS values. To achieve this, an enhanced collaborative filtering approach is introduced. In this approach, the PCC (Pearson Correlation Coefficient) is calculated for identifying the similar user and items. To increase the prediction accuracy, the user’s personalized degree of similarity is calculated and the Top-k users and items are identified. The confidence value computation helps to predict the missing values in the user-item matrix. By systematic integration of user-based and item-based methods, the final QoS values of a web services is predicted. The system has been tested with the invocation of real world web services, and the efficiency of the proposed approach is compared with the existing approaches. The MAE (Mean Absolute Error) and RMSE (Root Mean Square Error) between the proposed and existing approaches shows the accurate prediction of the proposed approach.
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Keywords


Web Service Discovery; QoS Prediction; Collaborative Filtering

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References


Shao L., Zhang J., Wei J., Zhao J., Xie B. and Mei H., Personalized QoS prediction for web services via collaborative filtering, International Conference on Web Services (ICWS), (Page: 439 Year of Publication: 2007 ISBN: 0-7695-2924-0 ).
http://dx.doi.org/10.1109/icws.2007.140

Saravanan.P, Sailakshmi, Missing value imputation using fuzzy possibilistic c means optimized with support vector regression and genetic algorithm, Journal of Theoretical and Applied Information Technology, 10th February 2015. Vol.72 No.1, PP:34-37.

R.Jeberson Retna Raj, T.Sasipraba, Surya, QWS-Search: A Novel QoS Driven Web Service Discovery Framework, International Journal of Engineering and Technology (IJET), Vol 6 No 5 Oct-Nov 2014, ISSN : 0975-4024, PP : 2209 – 2224.

Zheng Z.B. and Lyu M.R. , Collaborative Reliability Prediction for Service-Oriented Systems, Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, Vol. 1, (Page: 35 Year of Publication: 2010 ISBN: 978-1-60558-719-6).
http://dx.doi.org/10.1145/1806799.1806809

Senduru srinivasulu, sakthivel p , contemporary semantic web: the primary social and technical challenges, Journal of Theoretical and Applied Information Technology, 28th February 2015. Vol.72 No.3, PP:337-346

Veeramuthu A, Meenakshi S, and Kameshwaran A, A Plug-in Feature Extraction and Feature Subset Selection Algorithm for Classification of Medicinal Brain Image Data, IEEE International Conference on Communication and Signal Processing, 2014, DOI:10.1109/ICCSP.2014.6950108 (Page: 1545 Year of Publication: 2014 ISBN: 978-1-4799-3357-0).
http://dx.doi.org/10.1109/iccsp.2014.6950108

Zheng Z.B., Ma H., Lyu M.R. and King I. , WSRec: a collaborative filtering based Web service recommendation system, 2009 Proceedings of 7th International Conference on Web Services (ICWS), pp. 437-444. (Page: 437 Year of Publication: 2007 ISBN: 0-7695-2924-0).
http://dx.doi.org/10.1109/icws.2009.30

Zibing Zheng, Hao Ma ; Lyu, M.R. ; King, I. ,QoS – Aware Web Service Recommendation by Collaborative Filtering, IEEE Transaction on services computing 2011, Vol – 4, 140-152.
http://dx.doi.org/10.1109/tsc.2010.52

Qiong Zhang, Chen Ding, Chi-Hung Chi, Collaborative Filtering Based Services Ranking Using Invocation Histories, IEEE International Conference on Web Services (ICWS), 195-202. Services Computing Conference (APSCC), (Page: 195 Year of Publication: 2011 ISBN: 978-1-4577-0842-8)
http://dx.doi.org/10.1109/icws.2011.61

Ji Liang-hao ; Li Lin-hao , A New Recommender Model of Collaborative Filtering based on user, International Conference on Management and Service Science (MASS) 2010. PP.1-5. (Page: 195 Year of Publication: 2010 ISBN: 978-1-4244-5325-2)
http://dx.doi.org/10.1109/icmss.2010.5578440

Li Cui-cui ; Cui Li-qun ; Deng Yue ; Feng Wen-xiang Li Cui-cui, A QoS prediction approach based on improved collaborative filtering, 2nd International Conference on Advanced Computer Control (ICACC) 2010, (Page: 519 Year of Publication: 2010 ISBN: 978-1-4244-5845-5)
http://dx.doi.org/10.1109/icacc.2010.5486697

Zhang Li, Zhang Bin ; Liu Ying ; Gao Yan. , A Web Service QoS Prediction Approach Based on Collaborative Filtering, IEEE Asia – Pacific Services Computing Conference (APSCC), (Page: 725 Year of Publication: 2010 ISBN: 978-1-4244-9396-8).
http://dx.doi.org/10.1109/apscc.2010.43

Yechun Jiang, Jianxun Liu, Mingdong Tang and Xiaoqing Liu , An Effective Web Service Recommendation Method based on Personalized Collaborative Filtering, IEEE International Conference on Web Services,(Page: 211 Year of Publication: 2011 ISBN: 978-1-4577-0842-8)
http://dx.doi.org/10.1109/icws.2011.38

http://www.wsdream.net.

Kumar, A., A collaborative web recommendation system based on fuzzy association rule mining techniques, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (6), pp. 229-233.
http://dx.doi.org/10.15866/irecap.v4i6.4364

David Neels Pon Kumar, D., Murugesan, K., Arun Kumar, K., Raj, J., Performance analysis of fuzzy neural based QoS scheduler for mobile WiMAX, (2012) International Journal on Communications Antenna and Propagation (IRECAP), 2 (6), pp. 377-385.

AlZabin, N., Mesleh, A., Hamed, S., Massaadeh, S., AlHeyasat, O., AlQaisi, A., A QoS based DSR routing protocol for MANETs using bandwidth, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (5), pp. 151-156.
http://dx.doi.org/10.15866/irecap.v4i5.3702

Miloucheva, I., Hetzer, D., Gutierrez, P.A.A., Hofmann, U., Cognitive bandwidth planning of mission critical traffic in federated heterogeneous inter-domain future internet environments, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (2), pp. 117-124.


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