It is a common fact that modern e-learning schemes lack educational content representation and user personalization. In this framework, automated extraction of user profiles, to be used in an e-learning content offering system, forms an interesting and important problem. In this paper we present the design and implementation of such a profile-based system, by which content is matched to its environmental context, so that it can be adapted to its user¢s needs and capabilities. The paper extends previous work on profile extraction and clustering techniques and on integrated e-learning systems. Our approach relies on the fundamental IEEE e-learning model, suitably adapted to reflect the profiling aspects of the system.