Algorithmic Practices in Hulu’s Video Advertising Platform

Hulu, a leading US video‑on‑demand and live‑streaming service, relies heavily on advertising as a key revenue source, primarily using guaranteed‑contract brand ads.

The talk outlines how machine learning and artificial intelligence are applied across Hulu’s ad system, covering three main stakeholder goals: advertisers seek efficient, effective ad delivery and high ROAS; users desire a seamless viewing experience with minimal ad disruption; and Hulu aims to maximize ad revenue while optimizing operational efficiency.

Core algorithmic problems include ad targeting (contextual, user‑based, and interaction‑based), inventory prediction, flow matching, conversion rate optimization, programmatic bidding, user experience analysis, and pricing mechanism design.

Ad targeting uses models for user profile completion (XGBoost, DNN), unsupervised clustering and user2vec embeddings, and look‑alike modeling to reach similar audiences.

Contextual targeting employs image and audio recognition (Inception V3, VGG, fine‑tuned models) to match ads with video scenes, avoiding inappropriate content.

Conversion rate optimization predicts post‑view conversion using DIN + FM models, incorporating user, ad, and user‑ad interaction features, and applies causal inference (Doubly Robust Estimator) to evaluate true ad impact.

Shared‑account challenges are addressed by detecting multiple virtual users per account, labeling their behavior patterns, and dynamically selecting the appropriate ad profile.

Inventory prediction treats future ad volume as a time‑series problem, experimenting with ARIMA, Prophet, and LSTM models, with Prophet handling trends, seasonality, and holidays effectively for Hulu’s data.

Flow matching formulates a bipartite graph between supply (user traffic) and demand (advertiser orders), solving a dual optimization problem with KKT conditions and online PID control to ensure real‑time delivery stability.

The presentation concludes with a summary of these algorithmic practices and their impact on Hulu’s advertising business.