A Framework for Dynamic Adaptation in Information Systems
Adaptation is considered one of the most successful strategies to improve human-computer interaction. This paper shows how adaptation can go beyond common interest based user models. Several systems are presented which allow the adaptation process to significantly alter the systems basic algorithms or knowledge structure. The additional knowledge sources of such models are also presented. Our examples from information retrieval show that individualization may even affect the algorithms or the choice and influence of certain algorithms. A system for library information exemplifies that the whole organizational structure of a system can also be the subject for adaptation. A system for e-learning presents further extensions for user models.