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Found 7 papers, 2 papers with code
Fair ranking: a critical review, challenges, and future directions
Ranking, recommendation, and retrieval systems are widely used in online platforms and other societal systems, including e-commerce, media-streaming, admissions, gig platforms, and hiring.
Fairness in Ranking: A Survey
In this survey, we describe four classification frameworks for fairness-enhancing interventions, along which we relate the technical methods surveyed in this paper, discuss evaluation datasets, and present technical work on fairness in score-based ranking.
A Note on the Significance Adjustment for FA*IR with Two Protected Groups
In this report we provide an improvement of the significance adjustment from the FA*IR algorithm of Zehlike et al., which did not work for very short rankings in combination with a low minimum proportion $p$ for the protected group.
FairSearch: A Tool For Fairness in Ranked Search Results
We implement two algorithms from the fair ranking literature, namely FA*IR (Zehlike et al., 2017) and DELTR (Zehlike and Castillo, 2018) and provide them as stand-alone libraries in Python and Java.
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach
Ranked search results have become the main mechanism by which we find content, products, places, and people online.
Information Retrieval Computers and Society H.3.3
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport
As a consequence, the algorithm enables the decision maker to adopt intermediate ``worldviews'' on the degree of discrimination encoded in algorithmic processes, adding nuance to the extreme cases of ``we're all equal'' (WAE) and ``what you see is what you get'' (WYSIWYG) proposed so far in the literature.
FA*IR: A Fair Top-k Ranking Algorithm
In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility (i. e., select the "best" candidates) subject to group fairness criteria.
