The Dexter hypertext reference model
Communications of the ACM
AHAM: a Dexter-based reference model for adaptive hypermedia
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
Adaptive HyperText and Hypermedia
Adaptive HyperText and Hypermedia
WHAT: Web-Based Haskell Adaptive Tutor
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Hypermedia Presentation Adaptation on the Semantic Web
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptation in an Evolutionary Hypermedia System: Using Semantic and Petri Nets
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
A Fuzzy-Based Approach to User Model Refinement in Adaptive Hypermedia Systems
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
The Munich Reference Model for Adaptive Hypermedia Applications
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Market-Based Adaptive Discussion Forums
Advanced Internet Based Systems and Applications
Adaptivity in a SCORM compliant adaptive educational hypermedia system
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
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A hypermedia application offers its users a lot of freedom to navigate through a large hyperspace, described by a domain model. Adaptive hypermedia systems (AHS) aim at overcoming possible navigation and comprehension problems by providing adaptive navigation support and adaptive content. The adaptation is based on a user model that represents relevant aspects about the user. In this paper, we concentrate on the adaptation engine (AE) that is responsible for performing the adaptation according to the adaptation rules specified in the adaptation model. We analyze the dependencies between the authoring process and the functionality of the adaptation engine. From this we conclude how the authoring process can be simplified by a more powerful AE. In particular, a well-designed AE should be general purpose (i.e., not application domain specific) and should guarantee that the interpretation of the rules is deterministic, always terminates and produces the results desired by the author.