Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
MH Dinh, J Kotary, F Fioretto - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Learning to Rank (LTR) is one of the most widely used machine learning applications. It is a
key component in platforms with profound societal impacts, including job search, healthcare …
key component in platforms with profound societal impacts, including job search, healthcare …
Vertical Allocation-based Fair Exposure Amortizing in Ranking
Result ranking often affects consumer satisfaction as well as the amount of exposure each
item receives in the ranking services. Myopically maximizing customer satisfaction by …
item receives in the ranking services. Myopically maximizing customer satisfaction by …