A model-agnostic framework that generates constraint-aware virtual users to boost long-tail POI exposure in next-POI recommendation, improving fairness without hurting accuracy.
Salim, Yonchanok Khaokaew, and Jeffrey Chan
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Give the Long-tail More SPACE: Promoting Provider Fairness in Next POI Recommendation
A model-agnostic framework that generates constraint-aware virtual users to boost long-tail POI exposure in next-POI recommendation, improving fairness without hurting accuracy.