Ranking & Search Fairness

Make ranking and search fair. Learn exposure-based metrics (Diaz et al.), fair top-k constraints, position-bias correction, the producer-vs-consumer fairness split, constrained-ranking algorithms (FA*IR, fair-PageRank), and operational patterns for query-time fairness in search and recommendations.

6
Lessons
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Lessons in This Topic

Work through these 6 lessons in order, or jump to whichever is most relevant.