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GLAM: A Generic Layered Adaptation Model for Adaptive Hypermedia Systems

Cédric Jacquiot 1 Yolaine Bourda 1 Fabrice Popineau 2 Alexandre Delteil 3 Chantal Reynaud 4
4 GEMO - Integration of data and knowledge distributed over the web
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper introduces GLAM, a system based on situation calculus and meta-rules, which is able to provide adaptation by means of selection of actions. It is primarily designed to provide adaptive navigation. The different levels of conception, related to different aspects of the available metadata, are split in different layers in GLAM, in order to ease the conception of the adaptation system as well as to increase the potential use of complex adaptation mechanisms. GLAM uses meta-rules to handle these layers.
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Submitted on : Friday, January 18, 2008 - 11:02:45 PM
Last modification on : Thursday, July 8, 2021 - 3:48:45 AM

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Cédric Jacquiot, Yolaine Bourda, Fabrice Popineau, Alexandre Delteil, Chantal Reynaud. GLAM: A Generic Layered Adaptation Model for Adaptive Hypermedia Systems. 4th International Conference (AH 2006), Jun 2006, Dublin, Ireland. pp.131-140, ⟨10.1007/11768012_15⟩. ⟨hal-00208018⟩



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