How Meituan’s Joint Marketing Revolutionizes Ad Auctions with Fundraising Auctions

Meituan’s retail advertising introduces a novel ‘fundraising auction’ mechanism for joint marketing, enabling multiple parties to co‑bid on the same ad slot, evolving through rule‑based, model‑based, and holistic stages, and leveraging AI‑driven models like JAMA, JRegNet, and JTransNet to boost ROI and platform revenue.

Ad Auctionjoint marketingmachine learning

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How Meituan’s Joint Marketing Revolutionizes Ad Auctions with Fundraising Auctions

Meituan Technology Team

Jun 27, 2024 · Artificial Intelligence

Meituan Technical Team's Three Papers Accepted at SIGIR 2024: Ad Auction Integration, Federated Recommendation, and POI Recommendation

The article highlights three Meituan research papers accepted at SIGIR 2024—covering deep automated mechanism design for ad auction, a retrieval‑enhanced vertical federated recommendation framework, and disentangled contrastive hypergraph learning for next POI recommendation—and announces an online sharing event where the authors will present their work.

AI researchAd AuctionFederated Recommendation

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Meituan Technical Team's Three Papers Accepted at SIGIR 2024: Ad Auction Integration, Federated Recommendation, and POI Recommendation

Alimama Tech

Sep 6, 2023 · Artificial Intelligence

Learning-Based Ad Auction Design with Externalities: Score-Weighted VCG Framework

The paper introduces Score‑Weighted VCG, a learning‑based ad auction framework that models externalities by learning a monotone scoring function and solving a weighted‑welfare matching problem, achieving incentive compatibility, individual rationality, and near‑optimal revenue and welfare on synthetic and large‑scale Taobao data.

Ad AuctionExternalitiesVCG

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Learning-Based Ad Auction Design with Externalities: Score-Weighted VCG Framework