… In this paper, we studied the problem of designing fair ranking schemes. Our system … users
in choosing attribute weights that lead to fair ranked outcomes. Creating proper indexes in an …

… There are two broad lessons from this literature, that we explain and apply to the design of
fair RS, in a manner that involves integrated effort from different actors and a comprehensive …

… or upload their own dataset to design their ranking schemes. Fairness Criteria section: This is
… for demonstrating fair and stable ranking design. Also, using CSMetrics and FIFA Rankings …

… for the design of learning-to-rank methods in general, and for fair learning-to-rank in … a
college admissions officer who is designing a ranking scheme to evaluate a pool of applicants, …

… or other preferences of its designers, or even from the actual … approaches for fair rankings
and recommendations making … We describe solutions for fair rankings and recommendations…

… for ranking fairness when merits are uncertain. We define a natural solution for a 1-fair ranking
… with our motivation that a fair ranking policy distributes exposure more equally among the …

… of designing fair scoring functions that satisfy desirable fairness constraints. … rankings across
applications, we conjecture that there is no single definition of what constitutes a fair ranking…

… To solve this problem, we propose a Meta-learning based Fair Ranking (MFR) model that …
made in designing fairness-aware algorithms, among which, the fairness ranking models can …

… By considering fairness already during learning, we find that FAIR-PG-RANK can identify
biases in the representation that post-processing methods [3, 17] are, by design, unable to …

… We design a family of exact fair algorithms achieving optimality for fair rank aggregation. We
… may be produced according to heterogeneous schemes, including human decision makers’ …