Programming collective intelligence
Programming collective intelligence
Constraint-based recommender systems: technologies and research issues
Proceedings of the 10th international conference on Electronic commerce
Onto'CoPE: Ontology for Communities of Practice of E-Learning
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Quantitative Analysis of Learning Object Repositories
IEEE Transactions on Learning Technologies
Usage contexts for object similarity: exploratory investigations
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Advances in Engineering Software
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Several online repositories make available learning resources known as Learning Objects (LOs), and tasks such as identifying useful metadata, diminishing the annotation effort, and facilitating LOs discovery and retrieval, remain still as open challenges. Advanced searching techniques such as recommending systems have been studied to address these issues, though mainly focused on students. We focus on teachers and exploit their context in order to identify metadata that describes LOs content. Teachers' profiles consider also such metadata in a hybrid approach for recommending LOs to teachers and instructors.