The issue of fairness in recommendation systems has recently become a matter of growing
concern for both the academic and industrial sectors due to the potential for bias in machine …

Recommender systems have been widely used in recent years. By exploiting historical user-
item interactions, recommender systems can model personalized potential interests of users …

Fairness has become a critical value online, and the latest studies consider it in many
problems. In recommender systems, fairness is important since the visibility of items is …

Existing research on fairness-aware recommendation has mainly focused on the
quantification of fairness and the development of fair recommendation models, neither of …

As Recommender Systems (RS) influence more and more people in their daily life, the issue
of fairness in recommendation is becoming more and more important. Most of the prior …

With the increasing use and impact of recommender systems in our daily lives, how to
achieve fairness in recommendation has become an important problem. Previous works on …

This paper investigates recommendation fairness among new items. While previous efforts
have studied fairness in recommender systems and shown success in improving fairness …

Fairness is a widely discussed topic in recommender systems, but its practical
implementation faces challenges in defining sensitive features while maintaining …

Recommender systems are gaining increasing and critical impacts on human and society
since a growing number of users use them for information seeking and decision making …

Personalized recommendation brings about novel challenges in ensuring fairness,
especially in scenarios in which users are not the only stakeholders involved in the …