WSRec: A collaborative filtering based web service recommender system

2009 IEEE International Conference on Web Services, ICWS 2009

Volumn , Issue , 2009, Pages 437-444

  Zheng, Zibin ^a   Ma, Hao ^a   Lyu, Michael R ^a   King, Irwin ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; EXPERIMENTAL ANALYSIS; INFORMATION COLLECTIONS; JAVA LANGUAGE; PREDICTION ACCURACY; PREDICTION PERFORMANCE; REAL WORLD ENVIRONMENTS; REAL WORLD EXPERIMENT; RECOMMENDER SYSTEMS; TEST RESULTS; VALUE PREDICTION; WEB SERVICE SELECTION;

INTERNET; JAVA PROGRAMMING LANGUAGE; SIGNAL FILTERING AND PREDICTION;

WEB SERVICES;

EID: 70449475545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWS.2009.30     Document Type: Conference Paper

References (21)

1. Apache. Axis2. In http://ws.apache.org/axis2 2008.
2. J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI, 1998.
3. V. Cardellini, E. Casalicchio, V. Grassi, and F. L. Presti. Flow-based service selection forweb service composition supporting multiple qos classes. In ICWS, pages 743-750, 2007.
4. B. Chun, D. Culler, T. Roscoe, A. Bavier, L. Peterson, M. Wawrzoniak, and M. Bowman. Planetlab: An overlay testbed for broad-coverage services. ACM SIGCOMM Computer Communication Review, 33(3):3-12, July 2003.
5. M. Deshpande and G. Karypis. Item-based top-n recommendation. ACM Trans. Inf. Syst., 22(1):143-177, 2004.
6. J. E. Haddad, M. Manouvrier, G. Ramirez, and M. Rukoz. Qos-driven selection of web services for transactional composition. In ICWS, pages 653-660, 2008.
7. R. Jin, J. Y. Chai, and L. Si. An automatic weighting scheme for collaborative filtering. In SIGIR, 2004.
8. K. Karta. An investigation on personalized collaborative filtering for web service selection. Honours Programme thesis, University of Western Australia, Brisbane, 2005.
9. H. Ma, I. King, and M. R. Lyu. Effective missing data prediction for collaborative filtering. In SIGIR, pages 39-46. ACM, 2007.
10. B. Marlin. Modeling user rating profiles for collaborative filtering. In NIPS. MIT Press, 2003.
11. M. R. McLaughlin and J. L. Herlocker. A collaborative filtering algorithm and evaluation metric that accurately model the user experience. In SIGIR, 2004.
12. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proc. of ACM Conference on Computer Supported Cooperative Work, 1994.
13. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Itembased collaborative filtering recommendation algorithms. In WWW, 2001.
14. L. Shao, J. Zhang, Y. Wei, J. Zhao, B. Xie, and H. Mei. Personalized qos prediction forweb services via collaborative filtering. In ICWS, pages 439-446, 2007.
15. R. M. Sreenath and M. P. Singh. Agent-based service selection. Journal on Web Semantics, pages 261-279, 2003.
16. G.Wu, J.Wei, X. Qiao, and L. Li. A bayesian network based qos assessment model for web services. In SCC, 2007.
17. L. Zeng, B. Benatallah, A. H. Ngu, M. Dumas, J. Kalagnanam, and H. Chang. Qos-aware middleware for web services composition. IEEE Trans. Softw. Eng., 30(5):311-327, 2004.
18. L.-J. Zhang, J. Zhang, and H. Cai. Services computing. In Springer and Tsinghua University Press, 2007.
19. Z. Zheng and M. R. Lyu. A distributed replication strategy evaluation and selection framework for fault tolerant web services. In ICWS, pages 145-152, 2008.
20. Z. Zheng and M. R. Lyu. A qos-aware middleware for fault tolerant web services. In ISSRE, pages 97-106, Seattle, USA, November 2008.
21. Z. Zheng and M. R. Lyu. Ws-dream: A distributed reliability assessment mechanism for web services. In DSN, pages 392-397, Anchorage, Alaska, USA, June 2008.