Reputation Metadata for Recommending Personalized e-Learning Resources
Tania Kerkiri, Athanassios Manitsaris, Anastasia Mavridou · 2007
Enhancing the e-Learning systems with reputation, a commonly used notion in e-Commerce systems, adds value to the resource. In this paper a RDF-based e-Learning framework that is based on reputation metadata and educational standards is proposed. Morever, the model and the retrieval algorithm of a proper recommendation system are described. This system exploits reputation and description metadata to augment personalization in e-Learning systems through recommendation methods.