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Rank Aggregation and Fairness by Diptarka Chakraborty
Rank Aggregation and Fairness by Diptarka Chakraborty
Abstract: Aggregating multiple input rankings over a set of candidates to generate a consensus ranking is one of the fundamental ranking problems, having many applications in social choice theory, hiring, college admission, web search, and databases. However, the optimal consensus ranking might be biased against any individual candidate or candidates belonging to certain marginalized communities… Read More »Rank Aggregation and Fairness by Diptarka Chakraborty