ICARE: the principles of Explainable AI in a Context-aware Recommendation APP

In this paper, we summarize our previous contribution to the research area of Explainable Recommender Systems in the healthcare domain, called ICARE (Intuitive Context-Aware Recommender with Explanations), which is a framework based on data-mining algorithms that can provide personalized recommendations with contextual and intuitive explanations. In particular, we consider the scenario related to physical activities to improve sleep quality, and we now describe how the system satisfies the four principles of Explainable Artificial Intelligence.