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Expressing Adaptation Strategies Using Adaptation Patterns

Nadjet Zemirline 1, 2, 3 Yolaine Bourda 3
2 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Today, there is a real challenge to enable personalized access to information. Several systems have been proposed to address this challenge including Adaptive Hypermedia Systems (AHSs). However, the specification of adaptation strategies remains a difficult task for creators of such systems. In this paper, we consider the problem of the definition of adaptation strategies at a high level. We present two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. We also describe how the generated adaptation strategies can be integrated into existing AHSs. A prototype has been implemented and an experiment in the e-learning domain has been conducted with a group of volunteers. This experiment shows that our pattern based approach for defining adaptation strategies is more suitable than those based on "traditional" AH languages.
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Submitted on : Tuesday, October 4, 2011 - 9:20:53 AM
Last modification on : Thursday, July 8, 2021 - 3:48:21 AM
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  • HAL Id : hal-00627080, version 1



Nadjet Zemirline, Yolaine Bourda. Expressing Adaptation Strategies Using Adaptation Patterns. 2011. ⟨hal-00627080⟩



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