A computational geometry approach to web personalization

Proceedings - IEEE International Conference on E-Commerce Technology, CEC 2004

Volumn , Issue , 2004, Pages 377-380

  Rigou, Maria ^a,c   Sirmakessis, Spiros ^a,b   Tsakalidis, Athanasios ^a,c  

^a University of Patras and Computer Technology Institute   (Greece)

^b Technol EI Messolongi Nea Ktiria ^*  (Greece)

^c UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING TECHNIQUES; ON-LINE CONSUMERS; PRODUCT INFORMATION; WEB PERSONALIZATION;

ALGORITHMS; COMPUTATIONAL GEOMETRY; DATABASE SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; REAL TIME SYSTEMS;

WORLD WIDE WEB;

EID: 10444253960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECT.2004.1319762     Document Type: Conference Paper

References (19)

1. Aldenderfer M., and Blashfield R., Cluster Analysis, in series: Quantitative Applications in the Social Sciences, Sage Publications Inc., 1984.
2. th European Workshop on Computational Geometry, Barcelona, 1998.
3. th IEEE International Conference on Tools with Artificial Intelligence, (ICTAI2002)", Washington D.C., U.S.A., November 4-6,2002, pp. 239-245.
4. R.A. Botafogo, and B. Shneiderman, "Identifying aggregates in hypertext structures", Proceedings of the 3 rd ACM Conference on Hypertext, 1991, pp. 63-74.
5. R.A. Botafogo, "Cluster analysis for hypertext systems", Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, 1993, pp. 116-125.
6. P. Brusilovsky, "Methods and Techniques of Adaptive Hypermedia", Journal of User Modelling and User-Adaptive Interaction 6, n 2-3, 1996, pp. 87-129.
7. P. Brusilovsky, "Adaptive hypermedia", User Modeling and User-Adapted Interaction, Ten Year Anniversary Issue 11 (Alfred Kobsa, ed.), 2001, pp. 87-110.
8. Chakrabarti S., Mining the Web: Discovering Knowledge from Hypertext Data, L. Hornet ed., Morgan Kaufmann Pub., USA, 2003.
9. R.C. Dubes, and A.K. Jain, "Clustering methodologies in exploratory data analysis", Adv. Comput., 19, 1980, pp. 113-228.
10. G. Haübl, and V. Trifts, "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Shopping Aids", Marketing Science 19 (1), 2000, pp. 4-21.
11. G. Karypis, E.H Han, and V. Kumar, "CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modelling", IEEE Computer, Vol. 32, No. 8, 1999, pp. 68-75.
12. D. Modha, and W.S. Spangler, "Clustering hypertext with applications to web searching", Proceedings of the ACM Conference on Hypertext and Hypermedia, 2000, pp 143-152
13. G. Papamichail, and D. Papamichail, "Towards using computational methods for real-time negotiations in electronic commerce", European Journal of Operational Research, Vol 145 (2), March 2003, pp. 3-9.
14. th Mini Euro Conference, Human Centered Processes. Distributed Decision Amking and Man-Machine Cooperation, 5-7 May 2003, Luxemburg, pp 239-245.
15. P. Pirolli, J. Pitkow, and R. Rao, "Silk from a sow's ear: Extracting usable structures from the Web", Proceedings of the ACM SIGCHI Conference on Human Factors in Computing, 1996, pp 118-125.
16. Rasmussen E., Clustering Algorithms, in Information Retrieval, W.B. Frakes & R. Baeza-Yates (eds.), Prentice Hall PTR, New Jersey, 1992.
17. Y.K. Vaishnavi, "Computing Point Enclosures", IEEE Transactions on Computing C-31 (1) 1982, pp. 22-29.
18. M.N. Vrahatis, B. Boutsinas, P. Alevizos, and G. Pavlides, "The k-windows Algorithm for Improving the k-means Clustering Algorithm", Journal of Complexity, vol. 18, 2002, pp. 375-391.
19. D. Willard, "New data structures for orthogonal range queries", SIAM Journal on Computing (14) 1985, pp. 232-253.