Development of a Recommender System to the Virtual Patient Simulator Health Simulator

• Diego Reidel Feevale
• Paulo Ricardo Muniz Barros Feevale
• Sandro José Rigo UNISINOS
• Marta Rosecler Bez Feevale

Resumo

This paper presents a recommender system on clinical cases and materials that may help the student in the learning process. The experiment involves the development of collaborative and content based filters and also three hybrid methods. The system was qualitatively evaluated, using accuracy metrics in prediction and classification tasks. The obtained results show promising values on the collaborative filters.