Esma Aïmeur, David Daboue, Flavien Serge Mani Onana, Djamal Benslimane, Zakaria Maamar



Despite Web services widespread adoption, users still struggle with the problem of locating the Web services that best satisfy their needs and meet their requirements. Unfortunately, current Web services repositories suffer from various limitations, such as providing Web services to users regardless of these users’ past experiences and these Web services’ intrinsic characteristics like popularity and credibility. In this paper, we introduce a Web Service Recommender System that uses collaborative filtering, demographic filtering, and content-based filtering techniques to help facilitate the search of Web services. The WSRS system uses both users’ and Web services’ profile for the sake or recommending Web services.


  1. Breese J., Heckerman D., and Kadie C. Empirical analysis of predictive algorithms for collaborative filtering. Proc. of 14th Conf. on Uncertainty in Artificial Intelligence (UAI-98). Pages 43-52, Madison, WI, 1998.
  2. Burke, R. Hybrid recommender systems: Survey and experiments. Customer Modeling and CustomerAdapted Interaction 4(12):331-370, 2002.
  3. Goldberg D., Nichols D., Oki B.M., and Terry D. Using collaborative filtering to weave an information tapestry. Communications of the ACM 35(12):61-70, 1992.
  4. Lam S.K., and Riedl J. Shilling recommender systems for fun and profit. Proc. of the 13th Intern. Conf. on World Wide Web (WWW 7804). Pages 393-402, New York, NY, 2004.
  5. Limthanmaphon B., and Zhang Y. Web service composition with case-based reasoning. Proc. of the 4th Australasian Database Conf. on Database Technologies. Pages 201-208, Adelaide, Australia, 2003.
  6. Mobasher B. and Anand S.S., Eds. Proc. of the 3rd Intern. Workshop on Intelligent Techniques for Web Personalization (ITWP 2005), 19th Intern. Joint Conf. on Artificial Intelligence (IJCAI 2005). Edinburgh, Scotland, 2005.
  7. Oliver J. Decision Graphs - An extension of Decision Trees. Department of Computer Science, Monash University, Technical Report No. 92/173. Clayton, Victoria, 1993.
  8. Pazzani M. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5-6):393-408, 1999.
  9. Resnick P., Iacovou N., Sushak M., Bergstrom P., and Riedl J. Grouplens: An open architecture for collaborative filtering of netnews. Proc. of the 1994 Computer Supported Collaborative Work Conf. Pages 175-186, North Carolina, 1994.
  10. Schafer J.B., Konstan J.A., and Riedl J. Recommender systems in e-commerce. EC'99: Proc. of 1st ACM Conf. on Electronic Commerce. Pages 158-166, Denver, CO, 1999.
  11. Tsalgatidou A., and Pilioura T. An overview of standards and related technology in Web Services. Distributed and Parallel Databases, 12(3): 135-162, 2002.
  12. Turban E., King D., Viehland D., and Lee J. Electronic Commerce: A Managerial Perspective. Prentice Hall, 2006.
  13. Wang Y., and Stroulia E. Semantic Structure Matching for Assessing Web-Service Similarity. Proc. of the 1rst Intern Conference on Service Oriented Computing. Trento, Italy, 2003.
  14. Zhang L., Li H., Chang H., and Chao T. XML-based advanced UDDI search mechanism for B2B integration. Proc. of the 4th IEEE Int'l Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS 2002). Pages 1530- 1534, Newport Beach, CA, 2002.

Paper Citation

in Harvard Style

Aïmeur E., Daboue D., Serge Mani Onana F., Benslimane D. and Maamar Z. (2007). WSRS: A WEB SERVICE RECOMMENDER SYSTEM . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-972-8865-77-1, pages 284-289. DOI: 10.5220/0001288102840289

in Bibtex Style

author={Esma Aïmeur and David Daboue and Flavien Serge Mani Onana and Djamal Benslimane and Zakaria Maamar},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
SN - 978-972-8865-77-1
AU - Aïmeur E.
AU - Daboue D.
AU - Serge Mani Onana F.
AU - Benslimane D.
AU - Maamar Z.
PY - 2007
SP - 284
EP - 289
DO - 10.5220/0001288102840289