An Encoder-Decoder Architecture for the Prediction of Web Service QoS

作者: Mohammed Ismail Smahi , Fethellah Hadjila , Chouki Tibermacine , Mohammed Merzoug , Abdelkrim Benamar

DOI: 10.1007/978-3-319-99819-0_6

关键词:

摘要: Quality of Service (QoS) prediction is an important task in Web service selection and recommendation. Existing approaches to QoS are based on either Content Filtering or Collaborative Filtering. In the two cases, these use external data past interactions between users services predict missing future scores. One most effective techniques for Matrix Factorization (MF), with Latent Factor Models. The key idea MF consists learning a compact model both services. Thereafter simply computed as dot product user’s latent service’s model. Despite successful results recommendation area, there still set problems that should be handled, like: (i) sparsity input models, (ii) factors which prone over-fitting. this paper, we propose approach solve by using simple neural network, auto-encoder, exploiting cross-validation well-known dataset, order select ideal number factors, thereby reduce over-fitting phenomenon.

参考文章(28)
David E. Rumelhart, James L. McClelland, , Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations Computational Models of Cognition and Perception. ,(1986) , 10.7551/MITPRESS/5236.001.0001
Jianwei Yin, Yueshen Xu, Personalised QoS-based web service recommendation with service neighbourhood-enhanced matrix factorisation International Journal of Web and Grid Services. ,vol. 11, pp. 39- 56 ,(2015) , 10.1504/IJWGS.2015.067156
Badrul Sarwar, George Karypis, Joseph Konstan, John Reidl, Item-based collaborative filtering recommendation algorithms Proceedings of the tenth international conference on World Wide Web - WWW '01. pp. 285- 295 ,(2001) , 10.1145/371920.372071
Yehuda Koren, Robert Bell, Chris Volinsky, Matrix Factorization Techniques for Recommender Systems IEEE Computer. ,vol. 42, pp. 30- 37 ,(2009) , 10.1109/MC.2009.263
Li Kuang, Yingjie Xia, Yuxin Mao, Personalized Services Recommendation Based on Context-Aware QoS Prediction international conference on web services. pp. 400- 406 ,(2012) , 10.1109/ICWS.2012.12
Wei Lo, Jianwei Yin, Ying Li, Zhaohui Wu, Efficient web service QoS prediction using local neighborhood matrix factorization Engineering Applications of Artificial Intelligence. ,vol. 38, pp. 14- 23 ,(2015) , 10.1016/J.ENGAPPAI.2014.10.010
Shuiguang Deng, Longtao Huang, Guandong Xu, Social network-based service recommendation with trust enhancement Expert Systems With Applications. ,vol. 41, pp. 8075- 8084 ,(2014) , 10.1016/J.ESWA.2014.07.012
Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth, Occam's razor Information Processing Letters. ,vol. 24, pp. 377- 380 ,(1987) , 10.1016/0020-0190(87)90114-1
Yilei Zhang, Zibin Zheng, Michael R. Lyu, WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services international symposium on software reliability engineering. pp. 210- 219 ,(2011) , 10.1109/ISSRE.2011.17
G. H. Golub, C. Reinsch, Singular value decomposition and least squares solutions Numerische Mathematik. ,vol. 14, pp. 403- 420 ,(1970) , 10.1007/BF02163027