… The current course recommendation … courses based on advancements of machine learning
approaches. In this study, we propose a course recommender system by using deep learning …

… learning sequences for online course recommendation, we propose a novel recommendation
… pioneeringly models learning sequences with heterogeneous course information and the …

… deep learning course recommendation model for extracting the modal features of learners
and courses; … course recommendation. The practical significance of this research is to improve …

… In our TED course recommendation, the aim is to learn the hidden features interactions
behind the user’s click behavior to predict the course with high click rate to recommend to the …

… This research aims to present a model for the course recommendation system by using
Deep learning with a multilayer perceptron architecture for MOOCs environment. The system …

… applies deep learning to the course recommendation … courses, grades, and majors, uses
the course department, average score, and the introduction of courses to construct the course …

… The relevant machine learning methods and course recommendation methods mentioned
in this paper can be widely applied in IOT and industrial vocational learning systems. So in …

… what is the best combination of courses to enroll in the next term… deep learning approach
using recurrent neural networks that aims to better represent how chronological order of course …

… The main contribution of our research is the design of a course recommendation framework
… proper course recommendation using multimodal data based on deep learning methods. …

… the field of MOOCs recommendation systems by overviewing … deep learning models with
MOOCs recommendation systems. Literature in the utilization of deep course recommendation …