Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Building a knowledge-based recommender for inclusive eLearning scenarios
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
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This research is focused on a semantic recommendations model that affects the life cycle of eLearning and can be used to build a knowledge-based recommender system to provide adaptive capabilities to existing learning management systems with the aim to support users in an inclusive and personalized way.