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 medical information delivery combining user, task and situation models
Proceedings of the 5th international conference on Intelligent user interfaces
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
User Modeling and User-Adapted Interaction
Parsing and interpreting ambiguous structures in spatial hypermedia
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Interpreting the layout of web pages
Proceedings of the 20th ACM conference on Hypertext and hypermedia
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Adaptive hypermedia has the goal of contextualizing the display of a hypertext to suit the user and their situation. A variety of aspects of the context can influence the appropriate adaptation. For knowledge engineering and privacy reasons, systems are moving towards having multiple independent models influencing adaptation. But these multiple models may disagree, resulting in a need for systems to manage the resulting conflicts. This paper presents an approach that combines conflict avoidance, conflict detection, and conflict resolution. This approach is presented within the context of multi-model adaptive spatial hypertext.