Colbar: A collaborative location-based regularization framework for QoS prediction

Information Sciences - Tập 265 - Trang 68-84 - 2014
Jianwei Yin1, Wei Lo1, Shuiguang Deng1, Ying Li1, Zhaohui Wu1, Naixue Xiong2
1School of Computer Science and Technology, Zhejiang University, China
2School of Computer Science, Colorado Technical University, USA

Tài liệu tham khảo

Zhang, 2007 Liu, 2004, QoS computation and policing in dynamic web service selection, 66 Huang, 2009, An optimal qos-based web service selection scheme, Inform. Sci., 179, 3309, 10.1016/j.ins.2009.05.018 Grigori, 2010, Ranking bpel processes for service discovery, IEEE Trans. Serv. Comput., 3, 178, 10.1109/TSC.2010.6 Meditskos, 2010, Structural and role-oriented web service discovery with taxonomies in owl-s, IEEE Trans. Knowl. Data Eng., 22, 278, 10.1109/TKDE.2009.89 Kuo, 2009, Building and evaluating a location-based service recommendation system with a preference adjustment mechanism, Expert Syst. Appl., 36, 3543, 10.1016/j.eswa.2008.02.014 Zheng, 2011, Qos-aware web service recommendation by collaborative filtering, IEEE Trans. Serv. Comput., 4, 140, 10.1109/TSC.2010.52 Sun, 2012, A decomposition-based approach for service composition with global qos guarantees, Inform. Sci., 199, 138, 10.1016/j.ins.2012.02.061 Xiong, 2010, A petri net approach to analysis and composition of web services, IEEE Trans. Syst. Man Cybernet. Part A: Syst. Humans, 40, 376, 10.1109/TSMCA.2009.2037018 Lu, 2006, Trust-based privacy preservation for peer-to-peer data sharing, IEEE Trans. Syst. Man Cybernet. Part A: Syst. Humans, 36, 498, 10.1109/TSMCA.2006.871795 Skogsrud, 2003, Model-driven trust negotiation for web services, IEEE Internet Comput., 7, 45, 10.1109/MIC.2003.1250583 Kim, 2013, On qos multicast routing algorithms using k-minimum steiner trees, Inform. Sci., 238, 190, 10.1016/j.ins.2013.03.006 Layuan, 2005, A qos multicast routing protocol for dynamic group topology, Inform. Sci., 169, 113, 10.1016/j.ins.2004.02.008 Goldberg, 1992, Using collaborative filtering to weave an information tapestry, Commun. ACM, 35, 61, 10.1145/138859.138867 Zheng, 2009, Wsrec: a collaborative filtering based web service recommender system, 437 Zheng, 2009, Wsrec: a collaborative filtering based web service recommender system, 437 Koren, 2008, Factorization meets the neighborhood: a multifaceted collaborative filtering model, 426 Chen, 2010, Regionknn: a scalable hybrid collaborative filtering algorithm for personalized web service recommendation, 9 Zhu, 2012, Wsp: a network coordinate basedweb service positioning framework for response time prediction, 90 Lo, 2012, Collaborative web service qos prediction with location-based regularization, 464 Cai, 2011, Graph regularized nonnegative matrix factorization for data representation, IEEE Trans. Pattern Anal. Machine Intell., 33, 1548, 10.1109/TPAMI.2010.231 Zheng, 2013, Collaborative web service qos prediction via neighborhood integrated matrix factorization, IEEE Trans. Serv. Comput., 6, 289, 10.1109/TSC.2011.59 Boyd, 2004 Koren, 2010, Collaborative filtering with temporal dynamics, Commun. ACM, 53, 89, 10.1145/1721654.1721677 Jain, 2000, Statistical pattern recognition: a review, IEEE Trans. Pattern Anal. Machine Intell., 22, 4, 10.1109/34.824819 Hastie, 2005, The elements of statistical learning: data mining, inference and prediction, Math. Intell., 27, 83, 10.1007/BF02985802 S. Menard, Applied Logistic Regression Analysis, no. 106, SAGE Publications, Incorporated, 2001. Lemire, 2005, Slope one predictors for online rating-based collaborative filtering, Soc. Indus. Math., 5, 471 Sarwar, 2001, Item-based collaborative filtering recommendation algorithms, 285 Hwang, 2007, A probabilistic approach to modeling and estimating the qos of web-services-based workflows, Inform. Sci.nces, 177, 5484, 10.1016/j.ins.2007.07.011 Canfora, 2008, A framework for qos-aware binding and re-binding of composite web services, J. Syst. Softw., 81, 1754, 10.1016/j.jss.2007.12.792 El Haddad, 2010, Tqos: transactional and qos-aware selection algorithm for automatic web service composition, IEEE Trans. Serv. Comput., 3, 73, 10.1109/TSC.2010.5 Koren, 2011, Advances in collaborative filtering, 145 Ahn, 2008, A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem, Inform. Sci., 178, 37, 10.1016/j.ins.2007.07.024 Chen, 2009, Collaborative filtering for orkut communities: discovery of user latent behavior, 681 Zhou, 2006, From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel hilbert space, IEEE Trans. Pattern Anal. Machine Intell., 28, 917, 10.1109/TPAMI.2006.120 Hofman, 2004, Latent semantic models for collaborative filtering, ACM Trans. Inform. Syst. (TOIS), 22, 89, 10.1145/963770.963774 Salakhutdinov, 2007, Restricted boltzmann machines for collaborative filtering, 791 Jin, 2004, A bayesian approach toward active learning for collaborative filtering, 278 Yu, 2009, Fast nonparametric matrix factorization for large-scale collaborative filtering, 211 Shao, 2007, Personalized qos prediction forweb services via collaborative filtering, 439 Wu, 2013, Predicting qos for service selection by neighborhood-based collaborative filtering, IEEE Trans. Syst. Man Cybernet. Part A (TSMC(A)), 43, 428, 10.1109/TSMCA.2012.2210409 Zhang, 2013, A hybrid fuzzy-based personalized recommender system for telecom products/services, Inform. Sci., 235, 117, 10.1016/j.ins.2013.01.025 Goldman, 2012, On graph reduction for qos prediction of very large web service compositions, 258