Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Predicting users' requests on the WWW
UM '99 Proceedings of the seventh international conference on User modeling
A general probabilistic framework for clustering individuals and objects
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithms and Theory of Computation Handbook
Algorithms and Theory of Computation Handbook
User Modeling and User-Adapted Interaction
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
International Journal of Hybrid Intelligent Systems
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We consider the classification and tracking of user navigation patterns for closed world hypermedia. We first propose a series of features characterizing different aspects of the navigation behavior. We then develop Hidden Markov models and a variant of these models called Multi-stream Hidden Markov models to track on line the behavior of a user. We also provide experimental results for the recognition of pre-defined user behaviors, using a home made basis.