In recent years, a new line of research has taken an interventional view recommender systems, where recommendations are viewed as actions that the system takes to have desired effect. This led development counterfactual inference techniques for evaluating and optimizing recommendation policies. article explains how these enable unbiased offline evaluation learning despite biased data, they can ...