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 approach 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. Current effort extends previous work on profile extraction via clustering techniques and on integrated e-learning systems. It relies on the fundamental IEEE e-learning model, suitably adapted to reflect and focus on profiling aspects of the system.