algorithmic-fairness

3 notes carry this tag — 2 claims, 1 capture. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

The paper's 'Balanced Capacitated' method pre-computes per-program nudge capacities to provably guarantee both a congestion-safety constraint and an L-fraction of optimal matches

claim seedling Tier 1 2026-10-11 · matching-markets, recommender-systems, school-choice, nyc, algorithmic-fairness
Personalized recommendations in capacity-constrained matching markets can trigger a self-defeating 'recommendation-induced congestion' that erodes the offer-likelihood guarantee they were based on, and does so disparately

claim seedling Tier 1 2026-10-11 · matching-markets, recommender-systems, school-choice, nyc, algorithmic-fairness
Personalized Recommendations Without Inducing Congestion: Mitigating Disparities in the NYC High School Match (arXiv:2610.08275)

capture promoted Tier 1 2026-10-07 · arxiv, matching-markets, recommender-systems, school-choice, nyc