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Matching of Users and Creators in Two-Sided Markets with Departures
Most of the existing literature on platform recommendation algorithms largely focuses on user preferences and decisions, and does not simultaneously address creator incentives.
Proportionally Fair Clustering
We extend the fair machine learning literature by considering the problem of proportional centroid clustering in a metric context.
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