485 citations · 763 across the 17 of their papers we have counts for
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cs.IR2017
Quality-Efficiency Trade-offs in Machine Learning for Text Processing
Ricardo Baeza-Yates, Zeinab Liaghat
Data mining, machine learning, and natural language processing are powerful techniques that can be used together to extract information from large texts. Depending on the task or p…
cs.CY2017★ 485 cited
FA*IR: A Fair Top-k Ranking Algorithm
Meike Zehlike, Francesco Bonchi, Carlos Castillo +3
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…