Skip to Main content Skip to Navigation
Conference papers

Classification and tracking of hypermedia navigation patterns

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas
Contributor : Lip6 Publications <>
Submitted on : Tuesday, June 6, 2017 - 11:59:31 AM
Last modification on : Tuesday, January 21, 2020 - 3:08:02 PM

Links full text



Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières, Patrick Gallinari. Classification and tracking of hypermedia navigation patterns. International Conference on Artificial Neural Networks, Jun 2003, Istanbul, Turkey. pp.891-900, ⟨10.1007/3-540-44989-2_106⟩. ⟨hal-01533307⟩



Record views