Uma proposta de sistema de recomendação acadêmico com definição semi-automática de perfil

In this paper, we describe a recommender system that enables personalized search on Scholar Google. This kind of system is needed to support learning process, because teachers and learners can make the right choices from an expansive list of options. One of main advantages of the system "Ponto com Filtro" is to create the user profile in a implicit way without user's interaction. The system was used by a users group aiming to verify its applicability. Our studies show that the implemented solution enables users to find relevant resources and improves relevancy of results.