A Unified Guaranteed Impression Allocation Framework for Online Display Advertising
This paper proposes a unified guaranteed impression allocation framework (UGA) that jointly models and optimizes contract and real‑time bidding ads, formulates the problem as a non‑convex QCQP, and demonstrates through offline and online experiments that UGA significantly improves platform and advertiser revenue compared to baseline methods.
