From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Towards adaptive Web sites: conceptual framework and case study
WWW '99 Proceedings of the eighth 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
WWW Assisted Browsing by Reusing Past Navigations of a Group of Users
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
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
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Behavioral Sequences: A New Log-Coding Scheme for Effective Prediction of Web User Accesses
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
International Journal of Hybrid Intelligent Systems
Temporal data mining for smart homes
Designing Smart Homes
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In this paper we describe an original case-based reasoning (CBR) approach, called Cobra, that aims at predicting users requests in a web site. The basic idea underlying the Cobra approach is to model users navigational behavior in a web site by a set of cases. Typically, in a CBR system a case is composed of at least two parts: the situation or the problem part and the solution one. In the Cobra approach the situation part of a case captures a navigation experience within a user navigation session. The solution part is composed of a set of actions that may explain the transition (i.e. the move from one page to another) which follows the navigation experience described in the case situation part. The proposed case structure and the reuse phase enable to predict the access to pages that have never been visited before by any user. This is a very useful feature that matches prediction requirements in real web sites where the structure and the content change frequently over time.