Empirically, we built a recommendation engine for arXiv preprints, and used this to proxy user preferences. We then computed a user-item fairness frontier for different subpopulations to examine these phenomena in practice. 4/

I'm excited to use my first post here to introduce the first paper of my PhD, "User-item fairness tradeoffs in recommendations" (NeurIPS 2024)!

This is joint work with Sudalakshmee Chiniah and my advisor @nkgarg.bsky.social

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