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Alimama Tech
Alimama Tech
Dec 25, 2024 · Artificial Intelligence

Contextual Generative Auction with Permutation-level Externalities for Online Advertising

The paper introduces Contextual Generative Auction (CGA), a generative framework that directly optimizes ad placements while modeling permutation‑level externalities, decouples allocation from payment learning, and achieves near‑optimal Myerson‑style outcomes, delivering up to 3.2% higher RPM, 1.4% more CTR, 6.4% GMV growth, and 3.5% increased advertiser ROI in large‑scale Taobao experiments.

Externalitiesauction theorygenerative models
0 likes · 18 min read
Contextual Generative Auction with Permutation-level Externalities for Online Advertising
Model Perspective
Model Perspective
Apr 23, 2024 · Fundamentals

How the Coase Theorem Explains Market Efficiency and Modern Applications

Originating from Ronald Coase’s 1960 work, the Coase Theorem posits that with zero transaction costs, resource allocation becomes efficient regardless of initial property rights, while highlighting the real-world importance of reducing transaction costs and clarifying property rights across environmental, legal, and digital economies.

Coase TheoremDigital EconomyExternalities
0 likes · 5 min read
How the Coase Theorem Explains Market Efficiency and Modern Applications
Alimama Tech
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.

ExternalitiesVCGad auction
0 likes · 16 min read
Learning-Based Ad Auction Design with Externalities: Score-Weighted VCG Framework
Alimama Tech
Alimama Tech
Sep 21, 2022 · Artificial Intelligence

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

The paper introduces EXTR, a Transformer‑based CTR prediction model that jointly encodes diverse externalities from surrounding organic results and ads and infers missing ad placements via a Potential Allocation Generator, achieving superior AUC, COPC and LogLoss on Taobao data and deployment in Alibaba’s advertising system.

CTR predictionExternalitiesTransformer
0 likes · 11 min read
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search