Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Analysis of Open Technological Standards for Learning Objects
LA-WEB '06 Proceedings of the Fourth Latin American Web Congress
The Pragmatics of Current E-Learning Standards
IEEE Internet Computing
Guest Editors' Introduction: Recommender Systems
IEEE Intelligent Systems
International Journal of Information and Communication Technology
Semantic relations for content-based recommendations
Proceedings of the fifth international conference on Knowledge capture
Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis
IV '10 Proceedings of the 2010 14th International Conference Information Visualisation
Personalized links recommendation based on data mining in adaptive educational hypermedia systems
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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In the last years, the adoption of recommender systems for improving user interaction has increased in e-learning applications. In the educational area, the recommendation of relevant and interesting content can attract the student's attention, motivating her/him during the learning-teaching process. It is very important, thus, to know learner preferences to suggest suitable contents to the students. The goal of this work is to present an approach to design the student interaction based on the recommendation of e-learning content, determining a more suitable relationship between learning objects and learning profiles. In our proposal, the learning profile is split into categories to attend different student preferences during the teaching-learning process: perception, presentation-format and participation. Our recommendation uses these categories to filter out the most suitable learning objects organized according to the IEEE LOM standard. We present a prototype architecture named e-LORS, over which we perform demonstrative experiments.