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New ad framework HMAF boosts revenue and delivery rates

Researchers have developed a new framework called HMAF to optimize ad impression allocation in platforms that combine Guaranteed Delivery (GD) contracts with Real-Time Bidding (RTB) auctions. This framework uses a Plan-Calibrate-Execute approach to balance revenue maximization with long-term contract delivery across multiple ad slots. Implemented at Meituan, a major food delivery platform, HMAF resulted in a 3.72% improvement in GD delivery rate and a 1.59% increase in total ad revenue. AI

IMPACT Optimizes ad delivery and revenue for platforms combining contract and real-time bidding auctions.

RANK_REASON The cluster contains an academic paper detailing a new framework and its implementation results. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tianxing Bu, Zhaoqi Zhang, Linyou Cai, Miao Xie, Shengri Xue, Tan Qu, Qianlong Xie, Xingxing Wang, Siqiang Luo, Gao Cong ·

    HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework

    arXiv:2606.09896v1 Announce Type: cross Abstract: In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optimization or rely on heuristic priority rules, and t…