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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01533307
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Submitted on : Tuesday, June 6, 2017 - 11:59:31 AM
Last modification on : Thursday, March 21, 2019 - 2:43:14 PM

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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⟩

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