Técnica de Recomendação Baseada em Metadados para Repositórios Digitais Voltados ao Ensino

Digital Repositories (DRs) are being increasingly used in the field of education for organize and make available digital collections of learning objects. This paper proposes a simple and scalable recommendation technique applied to DRs for supporting users in finding relevant contents. In the proposed technique, the users preferences are implicitly estimated by observing some metadata values of the accessed content. To increase the scalability, in the proposed technique the users are grouped in interest groups to reduce the search space in the collaborative filtering. The proposed technique is tested and evaluated in a DR used for literature teaching. The experiments show the effectiveness of the technique at least in the domain of literature teaching.