Discovering stages in web navigation for problem-oriented navigation support

User Modeling and User-Adapted Interaction

Volumn 17, Issue 1-2, 2007, Pages 183-214

  Hollink, Vera ^a   Van Someren, Maarte ^a   Wielinga, Bob J ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Information needs; Navigation stages; Navigation support; Web usage mining

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL; ONLINE SEARCHING; PROBLEM SOLVING; USER INTERFACES;

INFORMATION NEEDS; NAVIGATION STAGES; NAVIGATION SUPPORT; WEB USAGE MINING;

WEBSITES;

EID: 33847261158     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-006-9017-2     Document Type: Article

References (30)

1. Alpay, L.L., Toussaint, P.J., Ezendam, N.P.M., Rövekamp, A.J.M., Graafmans, W.C., Westendorp, R.G.J.: Easing internet access of health information for elderly users. Health Informatics J. 10(3), 185-194 (2004)
2. Alpay, L.L., Ezendam, N.P.M., Zwetsloot-Schonk, J.H.M.: Final report of the Geriwijzer/Senior Gezond project.Technical Report, Leiden University Medical Center, Leiden, The Netherlands (2005)
3. Anderson, C.R., Domingos, P., Weld, D.S.: Adaptive web navigation for wireless devices. Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, pp. 879-884. Seattle, Washington, USA (2001)
4. Anderson, C.R., Horvitz, E.: Web montage: a dynamic personalized start page. Proceedings of the 11th International Conference on World Wide Web, pp. 704-712. Honolulu, Hawaii, USA (2000)
5. De Bra, P., Calvi, L.: AHA! an open adaptive hypermedia architecture. New Rev Hypermedia Multimedia 4, 115-139 (1998)
6. Brusilovsky, P.: Adaptive hypermedia. User Model. User-Adapt. 11(1-2), 87-110 (2001)
7. Brusilovsky, P., Eklund, J., Schwarz, E.: Web-based education for all: a tool for developing adaptive courseware. Proceedings of the Seventh International World Wide Web Conference, pp. 291-300. Brisbane, Australia (1998)
8. Cadez, I., Heckerman, D., Meek, C., Smyth, P., White, S.: Model-based clustering and visualization of navigation patterns on a web site. Data Mining Knowledge Discovery 7(4), 399-424 (2003)
9. Carroll, J.D.: Individual differences and multidimensional scaling. Multidimensional Scaling: Theory Appl. Behav. Scio. 1, 105-155 (1972)
10. Choo, C., Detlor, B., Turnbull, D.: working the web: an empirical model of web use. Proceedings of the 33rd Hawaii International Conference on System Sciences. Maui, Hawaii (2000)
11. Clancey, W.: Heuristic classification. Artif. Intell. 27(3), 289-350 (1985)
12. Cooley, R., Mobasher, B., Srivastava, J.: Data preparation for mining world wide web browsing patterns. J. Knowledge Inform. Syst. 1(1), 5-32 (1999)
13. Deshpande, M., Karypis, G.: Selective Markov models for predicting web page accesses. ACM Trans. Internet Technol. 4(2), 163-184 (2004)
14. Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. 39, 1-38 (1977)
15. Domshlak, C., Joachims, T.: Efficient and non-parametric reasoning over user preferences. This issue.
16. Ezendam, N.P.M., Alpay, L.L., Rövekamp, A.J.M., Toussaint, PJ.: Enhancing accessibility of the content of a fall prevention website for elderly: a cross sectional study. Technical Report, Leiden University Medical Center, Leiden, The Netherlands (2005)
17. Herder, E.: Sniffing around for providing navigation assistance. Proceedings of the Workshop on Adaptivity and User Modeling in Interactive Systems, pp. 20-24. Berlin, Germany (2004)
18. Hollink, V., van Someren, M., ten Hagen, S.: Discovering stages in web navigation. Proceedings of the 10th International Conference on User Modeling, pp. 473-482. Edinburgh, UK (2005a)
19. Hollink, V, van Someren, M., ten Hagen, S., Wielinga, B.: Recommending informative links. Proceedings of the IJCAI-05 Workshop on Intelligent Techniques for Web Personalization, pp. 65-72. Edinburgh, UK (2005b)
20. Jin, X., Zhou, Y., Mobasher, B.: Task-oriented web user modeling for recommendation'. Proceedings of the 10th International Conference on User Modeling, pp. 109-118. Edinburgh, UK (2005)
21. Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Discovery and evaluation of aggregate usage profiles for web personalization. Data Mining Knowledge Discovery 6, 61-82 (2002)
22. Perkowitz, M., Etzioni, Q.: Towards adaptive web sites: conceptual framework and case study. Artif. Intell. 118, 245-275 (2000)
23. Pierrakos, D., Paliouras, G.: Exploiting probabilistic latent information for the construction of community web directories. Proceedings of the 10th International Conference on User Modeling, pp. 89-98. Edinburgh, UK. (2005)
24. Pierrakos, D., Paliouras, G., Papatheodorou, C., Spyropoulos, C. D.: Web usage mining as a tool for personalization: A survey. User Model. User-Adapt. 13(4), 311-372 (2003)
25. Pirolli, P., Fu, W.-T.: SNIF-ACT: a model of information foraging on the world wide web. Ninth International Conference on User Modeling, pp 45-54. Johnstown, USA (2003)
26. Pitkow, J.E., Pirolli, P.: Mining longest repeated subsequences to predict world wide web surfing. Proceedings of the Second USENIX Symposium on Internet Technologies and Systems, pp. 139-150. Boulder, USA (1999)
27. Sarukkai, R.: Link prediction and path analysis using markov chains. Proceedings of the Ninth International World Wide Web Conference, pp. 377-386. Amsterdam, The Netherlands (2000)
28. Schwab, I., Pohl, W.: Learning user profiles from positive examples. Proceedings of the ACAI'99 Workshop on Machine Learning in User Modeling, pp. 15-20. Chania, Greece (1999)
29. Ypma, A., Heskes, T.: Automatic categorization of web pages and user clustering with mixtures of hidden markov models. Lecture Notes in Computer Science, 2703, 35-49 (2003)
30. Zhu, T., Greiner, R., Häubl, Q.: Learning a model of a web user's interests. Proceedings of the Ninth International Conference on User Modeling, pp. 65-75. Johnstown, USA (2003)