The increasing of multimedia information great diffusion on the web
generates cognitive users’ overload and plenty of solutions are proposed to
solve it. Despite the multitude of solutions, web users are still looking for more
and simpler assistant in web using. In this paper, we present an information
adaptation system using characteristics of the user. Our work aims to improve
access to information through recommendations made on the basis of relevance
notices (feedbacks) given by other users of the system when they access
information. After introducing the concepts and mechanisms used by our
system, we compare it with other systems in order to show the originality of
our ideas. Finally, we propose an implementation and a preliminary evaluation
of our software in order to assess its performance.

adaptative access; relevance feedbacks; user group customisation; group-based recommendation; web services; information access