In search of reliable usage data on the WWW
Selected papers from the sixth international conference on World Wide Web
Predicting users' requests on the WWW
UM '99 Proceedings of the seventh international conference on User modeling
User Modeling and User-Adapted Interaction
COBRA: A CBR-Based Approach for Predicting Users Actions in a Web Site
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Using user behaviour similarity for recommendation computation: the broadway approach
Proceedings of the HCI International '99 (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Communication, Cooperation, and Application Design-Volume 2 - Volume 2
Improving the Effectiveness of a Web Site with Web Usage Mining
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
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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.