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Ubiquitous information access becomes more and more important nowadays andresearch is aimed at making it adapted to users. Our work consists in applyingmachine learning techniques in order to adapt the information access providedby ubiquitous systems to users when the system only knows the user socialgroup, without knowing anything about the user interest. The adaptationprocedures associate actions to perceived situations of the user. Associationsare based on feedback given by the user as a reaction to the behavior of thesystem. Our method brings a solution to some of the problems concerning theacceptance of the system by users when applying machine learning techniques tosystems at the beginning of the interaction between the system and the user.

Applying machine learning techniques to improve user acceptance on ubiquitous environement