Key Takeway

Content-sharing platforms use A/B tests to improve algorithms matching creators and audiences. Selection bias can result from highly personalized recommendation feeds or when tests boost treated content. This cost-effective alternative combines a structural choice framework with neural networks to account for rich viewer-content heterogeneity, improving results and business decisions.