21 citations · 56 across the 4 of their papers we have counts for
4 papers
On the Impact of Outlier Bias on User Clicks
Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi +2
User interaction data is an important source of supervision in counterfactual learning to rank (CLTR). Such data suffers from presentation bias. Much work in unbiased learning to r…
Fairness of Exposure in Light of Incomplete Exposure Estimation
Maria Heuss, Fatemeh Sarvi, Maarten de Rijke
Fairness of exposure is a commonly used notion of fairness for ranking systems. It is based on the idea that all items or item groups should get exposure proportional to the merit…
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke
There are several measures for fairness in ranking, based on different underlying assumptions and perspectives. PL optimization with the REINFORCE algorithm can be used for optimiz…
Understanding and Mitigating the Effect of Outliers in Fair Ranking
Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi +2
Traditional ranking systems are expected to sort items in the order of their relevance and thereby maximize their utility. In fair ranking, utility is complemented with fairness as…