XFC - XML based on fuzzy clustering - Method for personalized user profile based on recommendation system

2004 IEEE Conference on Cybernetics and Intelligent Systems

Volumn , Issue , 2004, Pages 1201-1205

  Kim, JinHong ^a   Lee, EunSeok ^a  

^a Sungkyunkwan University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTRONIC COMMERCE; FUZZY CONTROL; OPTIMIZATION; PROBLEM SOLVING; SEARCH ENGINES; WEBSITES;

CLUSTERING METHODS; RECOMMENDATION SYSTEMS; URL-BASED NAVIGATION; USER PROFILES;

XML;

EID: 11244341390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. http://www.Broadvision.com/OneToOne/SessionMgr
2. J.C.Bezdk: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenun Press, N.Y., 1981.
3. Resnick, P., et al. Group Lens: An Open Architecture for Collaborative Filtering of Netnews. In Proceedings of ACM CSCW'94 Conference on Computer-Supported Cooperative Work, pages 175-186. 1994.
4. Paul Resnick and Hal R. Varian, Guest Editor: Recommender Systems, Communication of the ACM, Vol. 40, No. 3, March 1997.
5. Hirsh, H., Basu, C., and Davison, B. D.: (2000) Learning to Personalize. Communications of the ACM, 43, 8, 102-106.
6. Jermann, P., Soller, A., and Muehlenbrock, M.:(2001) From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning. Proceedings of the Computer Support for Collaborative Leaming(CSCL) 2000, 324-331.
7. Basu, C., H. Haym, and W. W. Cohen: Recommendation as classification: Using social and content-based information in recommendation, Proceedings of International Conference on User Modeling, June 1999.
8. G. H. Ball and D. J. Hall: ISODATA: an interactive method of multivariable analysis and pattern classification, Proc. IEEE Int. Communications Conf., 1996.
9. M.J.Sabin: Convergence and Consistency of Fuzzy c-means / ISODATA Algorithms, IEEE Trans. Pattern Anal. Machine Intell., September 1987.
10. Liyan Zhang: Camparison of Fuzzy c-means Algorithm and New Fuzzy Clustering and Fuzzy Merging Algorithm, May 2001 Univ. Nevada, Reno.
11. Mikael Sollenborn and Peter Funk: Category-Based Filtering in Recommender Systems for Improved Performance in Dynamic Domains. P. De Bra, P. Brusilovsky, and R. Conejo (Eds.): AH 2002, LNCS 2347, pp 436-439. Springer-Verlag Berlin Heidelberg 2002
12. Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., et. al.: GroupLens: Applying collaborative filtering to usenet news. Communications of the ACM 40 (1997) 3:77-87
13. Funakoshi, K., Ohguro, T.: A content-based collaborative recommender system with detailed use of evaluations. In Proceedings of 4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Volume 1 (2000) 253-256
14. Hayes, C., Cunningham, P., Smyth, B.: A Case-Based Reasoning View of Automated Collaborative Filtering. In Proceedings of 4th International Conference on Case-Based Reasoning, ICCBR2001 (2001) 243-248