… For our present study, we examine recommendation with provider fairness in the context of
Kiva.org – a non-profit organization that performs micro-lending in the developing countries …

… We highlight representative work on fairness in recommendation and matchmaking systems
in … Additionally, the authors propose a localized understanding of fairness in cases where …

… First of all, we start with education recommender systems. Next, we overview related … fairness
in recommender systems literature and then focus on the specific topic of our work, fairness …

… fairness objective and the localized federated optimization process. On one hand, the fairness
… On the other hand, the federated learning systems restrain the personal data in each user’…

… our focus is on provider fairness in recommender systems [4, 5]… not) in the rankings generated
by a recommender system [6]. In … Localized Fairness in Recommender Systems. In Adjunct …

… recommender systems safe, responsible, and worthy of our trust are related to trustworthy
recommender systems … In Section 5, we will introduce the fairness of recommender systems in …

… the gap between music recommender systems and the artists whose … communicate music
recommender system fairness by … a more localized or globalized recommendation approach …

… -discrimination & fairness in recommender systems receives … & Fairness, which requires a
recommender systems to make … in recommendation systems: (1) Detection methods to localize …

… by allowing data collected by devices to remain localized and not entirely transmitted to the
cloud. … can result in inconsistent recommendation results or delays, further impacting fairness. …

… Fairness of recommender systems (RS) has attracted … fairness of RS can be divided into
user fairness, item fairness… , allowing us to capture more localized single-sided unfairness. We …