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Autonomous recommender system architecture for virtual learning environments
2020
Applied Computing and Informatics
This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine
doi:10.1016/j.aci.2020.03.001
fatcat:xh47a5m6gjfepkzqqgiga6thau