A survey for fairness in rankings and recommendations

In a world where computers make decisions that affect our lives, it’s important that these decisions are fair. This survey takes us through the complex topic of fairness in ranking and recommendation algorithms, showing us the different ways people are trying to define and measure it.

Ready to dive deeper into the world of fairness in algorithmic systems? Access the complete survey and download it from the SpringerLink.

Key Persons

Evaggelia Pitoura

Kostas Stefanidis