Discovering Social Network to Improve Recommender System for Group Learning Support

We refer to a new generation of Web technologies such as social networking to address a recommender system that emphasize online collaborative learning. We propose an approach for improving recommender system through exploiting the learners note taking activity. We maintain that notes´ features can be exploited by collaborative learning systems in order to enrich and extend the user profile and improve personalized learning. Thus our approach stresses collaborative note as a new and powerful kind of feedback and as a way to infer learner profiles. The experiment results show that our approach is effective.