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by publicdaniel
1607 days ago
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I work as a machine learning engineer on search & recommender systems, mostly focused on relevancy ranking in the recruiting space. It's unbelievable the pressure I have encountered to give "diverse" candidates a boost across the board in our scoring algorithms. Almost every client's talent acquisition team has asked what we can do to help them meet their diversity goals (which they loosely define as hiring more women and non-white / Asian people). I keep up with what some of the major players are doing (LinkedIn, Indeed, etc.), and they come straight out and say they preferentially weight diverse candidates > For a given search or recommendation task, our algorithms seek to
achieve a desired distribution of top ranked results with respect to
one or more protected attributes. https://arxiv.org/abs/1905.01989 |
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