INES researchers at C.E.S.A.R/Atepassar.com are investigating and developing educational-oriented recommender systems for providing students with personalized learning material respecting their individual needs. One of the main challenges of the research is to depict the student’s user model due to its granularity of characteristics to determines user’s interest. In order to offer students with appropriate learning resources and courses, machine learning and data mining techniques such as prediction, classification and clustering are being investigated and applied to an under-development recommendation system. The outcome of this work will be implemented at Atepassar.com, an educational social network. Frederico Durao (C.E.S.A.R/Atepassar.com), Marcel Caraciolo (Atepassar.com) and Silvio Meira (C.E.S.A.R) are leading the research.