New technologies have been supporting teachers and facilitating students' learning. An example is the learning object, which is defined as any content that aims to teach something. Learning objects are stored in repositories that also provide methods to retrieve and index them. The recommender algorithm was applied on the repository mentioned and analyzed afterwards. Thus, this paper aimed to verify how recommender systems help users to find objects in a repository of the Federal Institute of Rio Grande do Sul.
['Márcio Borgonovo Santos', 'Fabio Goulart Andrade', 'Júlia Marques Carvalho da Silva', 'Hazra Imran']
Learning Object Recommendation System Evaluation