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20172026
most citedFA*IR: A Fair Top-k Ranking Algorithm

485 citations · 628 across the 9 of their papers we have counts for

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Showing cs.IRShow all

5 papers · 1 filter

cs.IR2022★ 2 cited

Fair ranking: a critical review, challenges, and future directions

Gourab K Patro, Lorenzo Porcaro, Laura Mitchell +3

Ranking, recommendation, and retrieval systems are widely used in online platforms and other societal systems, including e-commerce, media-streaming, admissions, gig platforms, and…

cs.IR2021★ 92 cited

Fairness in Ranking: A Survey

Meike Zehlike, Ke Yang, Julia Stoyanovich

In the past few years, there has been much work on incorporating fairness requirements into algorithmic rankers, with contributions coming from the data management, algorithms, inf…

cs.IR2020★ 1 cited

A Note on the Significance Adjustment for FA*IR with Two Protected Groups

Meike Zehlike, Tom Sühr, Carlos Castillo

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…

cs.IR2019★ 12 cited

FairSearch: A Tool For Fairness in Ranked Search Results

Meike Zehlike, Tom Sühr, Carlos Castillo +1

Ranked search results and recommendations have become the main mechanism by which we find content, products, places, and people online. With hiring, selecting, purchasing, and dati…

cs.IR2018★ 12 cited

Reducing Disparate Exposure in Ranking: A Learning To Rank Approach

Meike Zehlike, Carlos Castillo

Ranked search results have become the main mechanism by which we find content, products, places, and people online. Thus their ordering contributes not only to the satisfaction of…