A fuzzy-based approach to stereotype selection in hypermedia

This paper presents a stereotype-based user model for adaptive hypermedia s ystems. We use a suitable algebraic fuzzy structure which can adequately re flect some features of the user in the model, and apply this model to adapt the navigation and the content of hypermedia nodes to the user's needs. Th e model includes temporal representations of the user and approximates ever y real user by a set of stereotypes, from which the one realizing the best approximation earn always be extracted. The set of stereotypes is the suppo rt set of the structure and the operations defined therein may be supplied with adequate semantics which allow for the selection of the stereotype.