Abstract
Mining web site logs for predicting user actions is a central issue in the field of adaptive web site development. In order to match the dynamic nature of today web sites we propose in this paper a new scheme for coding Web server log data into sessions of behavioral sequences. Following the proposed coding scheme the navigation sessions are coded as a sequence of hypothetical actions that may explain the transition from one page to another. The output of a prediction algorithm will now be an action that can be evaluated in the context of the current navigation in order to find pages that to be visited by the user.
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References
P. Brusilovsky, Methods and Techniques of Adaptive Hypermedia. In User Modelling and User-Adapted Interaction 6: 87–129, Kluwer academic publishers, 1996.
R. Cooley, B. Mobasher and J. Srivastava. Data Preparation for Mining World Wide Web Browsing Patterns. In Knowledge and Information Systems 1(1). pp. 5–32, 1999.
P. De Bra, Design Issues in Adaptive Web-Site Development. In Proceedings of the Second Workshop on Adaptive Systems and User Modelling on the World Wide Web, pp. 29–39, Toronto and Banff, Canada, 1999. (Editors P. Brusilovsky and P. De Bra), 1999.
M. Malek, R. Kanawati. COBRA: A CBR-Based Approach for Predicting Users Actions in a Web Site. In (D. Aha and I. Watson eds.) Proceedings of the 4th International Conference on Case-Based Reasoning (ICCBR 2001), (LANI 2080) Springer, Vancouver BC., Canada, July/August 2001. pp. 336–346.
A. Mobasher, R. Cooley and J. Srivastava. Creating Adaptive Web sites Through Usage-Based Clustering of URLs. In proceedings of the IEEE workshop on Knowledge and Data Engineering (KDEX’99), 1999.
J. Pitkow. In search of reliable usage data on the WWW. In Sixth International World Wide Web pages 451 463, Santa Clara, CA, 1997.
M. Spiliopoulou, C. Pohle and L. C. Faulstich. Improving the Effectiveness of a Web Site with Web Usage Mining. In proceedings of KDD workshop WebKDD’99, San Diego, August 1999.
B. Trousse, M. Jaczynski, and R. Kanawati. Using User Behaviour Similarity for Recommendation Computation: The Broadway Approach. In H-J Bullinger and J. Ziegler, editors, proceedings of the HCI International (HCI’99), Munich. pp 85–89. Lawrence Erlbaum Associates, august 1999
I. Zukerman, David W. Albrecht, and E. Nicholson, Predicting users’ requests on the WWW, Proceedings of the Seventh International Conference on User Modelling, 1999.
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© 2002 Springer-Verlag Berlin Heidelberg
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Kanawati, R., Malek, M. (2002). Behavioral Sequences: A New Log-Coding Scheme for Effective Prediction of Web User Accesses. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_48
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DOI: https://doi.org/10.1007/3-540-47952-X_48
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