A significant challenge for recommender systems (RSs), and in fact AI general, is the systematic definition of explanations outputs such a way that both themselves are able to adapt their human users' needs. In this paper we propose an RS hosting vast repertoire explanations, which customisable users content format, thus explanatory requirements, while being reasonably effective (proven empiric...