Categories of Inference in a Multi-Faceted, Educational, Knowledge-based Recommender System

John W. Coffey, University of West Florida

Knowledge-based recommender systems comprise one category of user-modeling system that can draw inferences from user models. This brief paper contains a global description of a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, a taxonomy of inferences that might be made over such models, and a listing of literature that is relevant to educational recommender systems.


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