The research community has become increasingly aware of possible undesired effects of algorithmic biases in recommender systems. One common bias in such systems is to over-proportionally expose certain items to users, which may ultimately result in a ...

In many application domains of recommender systems, e.g., on media streaming sites, one main goal of the provider of the recommendation service is to increase the engagement of users by helping them discover new types of content they like. ...$\mathrm{}$