... and interpretable course recommendations. Originality/value Developing explainable recommendation methods based on the combination of knowledge graph and reinforcement learning is crucial to overcome the current limitations. A recommendation system that integrates knowledge reasoning, autonomous learning...

... of the actual relevance. This paper extends the authors' previous work by building a reinforcement learning (RL) model to predict the relevance. The Attractiveness, Examination and User Satisfaction are estimated using a limited number of the features of the utilized benchmark data set...