A survey for fairness in rankings and recommendations

In a world increasingly governed by algorithmic systems, ensuring the fairness of decisions that impact our lives is crucial. This survey takes us through the complex topic of fairness in ranking and recommendation systems. It explores the diverse approaches to defining and measuring fairness, as well as the methods employed to enforce it, providing a comprehensive view of how fairness is integrated into these systems.

Interested in exploring more about fairness in algorithmic systems? Access the complete survey and download it from SpringerLink.

Key Persons

Evaggelia Pitoura

Kostas Stefanidis