Thereās a growing area of research on fair ranking algorithms. Where the problem youāve scoped out focuses on the utility of end users, fairness in ranking aims to align recommender systems with the āutilityā of the items being recommended (e.g. job applicants) and the long-term viability of the platform.
Thereās a growing area of research on fair ranking algorithms. Where the problem youāve scoped out focuses on the utility of end users, fairness in ranking aims to align recommender systems with the āutilityā of the items being recommended (e.g. job applicants) and the long-term viability of the platform.