An Argumentation-based Conversational Recommender System for Recommending Learning Objects

摘要

In this paper, we present an argumentation-based Conversational Educational Recommender System (C-ERS), which helps students to find the more suitable learning resources considering their learning objectives and profile. The recommendation process is based on an argumentation-based technique, which selects those learning objects (LOs) for which it is able to generate a greater number of arguments justifying their suitability.