A new recommender system for e-learning environments

Today recommender systems are widely used not only in e-commerce but in e-learning as well. They are actually made use of in the latter environment to suggest resources and learning materials to learners and, thus, contribute in improving the quality of both teaching and learning. In this paper, we put forward a new recommendation system that provides learners with the most appropriate answers and clues through a request /answer module.

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