Extração de Características de Perfil e de Contexto em Redes Sociais para Recomendação de Recursos Educacionais

This paper presents a proposal that generates individualized educational recommendations, using information spontaneously generated in Social Networks. The main goal is to identify characteristic of user´s profile and context through the use of these systems and his/her social interaction and then make consistent educational recommendations. The proposal evaluation was made from the development of a prototype, a proof of concept and a case study. The evaluation results showed the viability and relevant users´ acceptance in order to extract information about their educational interests, automatically generated from the Facebook social network, enrich these information, find implicit interests and use these information to recommend educational resources. It was also validated the possibility of people recommendation, enabling the establishment of interest network, based on a specific subject, showing good partners to study and research.