Abstract
Marketplace modeling is a research area that has had widespread real-world impact. Focusing on scale and accuracy, we will discuss some techniques we have been using to enable better decision-making for concrete applications, such as matching jobs and applicants, blood donation recommendations, friend suggestions, rendering feeds, and online advertising. These techniques include using competitive equilibria to compute allocations, finding compact representations of marketplaces, and using Bayesian optimization coupled with simulation to improve model accuracy.