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User-adapted interaction based on user modelling is a well known methodology that can be applied to enhance accessibility. To this respect, the structure and content of the user model is a key issue to ensure adequate adaptation. This paper describes the use of Web mining techniques to create user models that allow adaption of the Web interaction pattern. The main novelty of this system is the application of machine learning techniques to extract and structure information for the user model. Diverse adaptation techniques have been implemented for the specific user needs modelled.
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