mechanism design

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

JD Tech Talk

Apr 25, 2024 · Artificial Intelligence

Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms

This article reviews the evolution of JD’s recommendation advertising ranking mechanism, covering its economic auction origins, challenges of multi‑material valuation, user interest uncertainty, and multi‑item auction fairness, and describes AI‑driven solutions such as deep auction models and reinforcement‑learning‑based ListVCG.

RankingRecommendation systemsadvertising

0 likes · 19 min read

Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms

JD Retail Technology

Apr 15, 2024 · Artificial Intelligence

Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism

The article analyzes JD.com's recommendation advertising ranking auction mechanism, detailing its objectives, challenges in traffic value estimation, user interest exploration, and multi‑item auction fairness, and describing the technical evolution from traditional auctions to deep‑learning‑driven solutions.

Rankingadvertisingauction

0 likes · 18 min read

Design and Evolution of JD.com Recommendation Advertising Ranking Auction Mechanism

Alimama Tech

Oct 18, 2023 · Artificial Intelligence

Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints

The paper presents incentive‑compatible, individually rational auction mechanisms for automated ad bidding where advertisers report private budget and ROI constraints, characterizes feasible allocation and payment rules via monotone budget functions, introduces a personalized ranking‑score auction using a “key ROI,” and demonstrates through experiments that the design achieves near‑optimal welfare and revenue while ensuring truthful reporting.

ROIauction theoryautomated bidding

0 likes · 17 min read

Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints

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

DataFunTalk

May 20, 2023 · Artificial Intelligence

Understanding Didi’s Online Marketplace: Core Concepts, Technical Challenges, and Emerging Technologies

This article introduces Didi’s real‑time online marketplace, explains its fundamental principles, network effects, and social efficiency benefits, and examines key technical areas such as mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference that drive its advanced matching and dispatch strategies.

Artificial IntelligenceMarketplacecausal inference

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Understanding Didi’s Online Marketplace: Core Concepts, Technical Challenges, and Emerging Technologies

Didi Tech

May 9, 2023 · Artificial Intelligence

An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference

The article introduces Didi’s large‑scale ride‑hailing marketplace, explaining how mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference are combined to create fair, efficient, data‑driven matching, routing, and incentive systems that tackle massive two‑sided market challenges.

Causal InferenceDidiMarketplace

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An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference

Alimama Tech

Apr 12, 2023 · Artificial Intelligence

Truthful Auction Mechanisms for Mixed Utility and Value Maximizers in Online Advertising

The paper introduces two truthful auction mechanisms—MPU for public‑type and MPR for private‑type bidders—that combine VCG payments for utility‑maximizers with GSP payments for value‑maximizers, achieving incentive compatibility, individual rationality, robustness, and a social‑welfare approximation of up to 2 (optimal within a 1.25 factor) in mixed online advertising markets.

GSPVCGauction theory

0 likes · 20 min read

Truthful Auction Mechanisms for Mixed Utility and Value Maximizers in Online Advertising

Alimama Tech

Mar 29, 2023 · Artificial Intelligence

Advertising Auction Mechanisms: Concepts, Design, and Theory

The article surveys advertising auction mechanisms, explaining game‑theoretic foundations, Myerson’s lemma, welfare‑maximizing designs such as VCG and GSP, revenue‑focused extensions with reserve prices (mGSP, aGSP, rGSP, sGSP), and outlines future research on auto‑bidding, machine‑learning optimization, and generative‑AI impacts.

advertisingauction theorygame theory

0 likes · 38 min read

Advertising Auction Mechanisms: Concepts, Design, and Theory

HelloTech

Jun 14, 2022 · R&D Management

Auction Mechanisms: Theory, Types, and Applications

The article surveys the evolution and theory of auction mechanisms—from classic English and Dutch formats to sealed‑bid first‑ and second‑price auctions—explains revenue‑equivalence, describes Vickrey‑Clarke‑Groves and Generalized Second‑Price designs, discusses practical uses such as GFP and future AI‑driven hybrids.

GSP auctionVCG mechanismVickrey auction

0 likes · 17 min read

Auction Mechanisms: Theory, Types, and Applications

DataFunSummit

Apr 12, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

This article presents the evolution of Alibaba's display advertising auction mechanisms, introducing the AIDA decision‑allocation framework, the Deep GSP multi‑objective smart auction, and the end‑to‑end Neural Auction, while discussing their economic theory, engineering platformization, business impact, and future research directions.

AIadvertisingauction

0 likes · 18 min read

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

Alimama Tech

Apr 6, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

Alibaba’s AIDA framework combines a bidding‑agent layer and a novel auction layer—Deep GSP and Neural Auction—to allocate display ads across its ecosystem, achieving incentive‑compatible, multi‑objective optimization, higher ROI, and scalable deployment via TensorFlow‑based platform services.

advertisingauctiondeep learning

0 likes · 16 min read

DataFunTalk

Apr 6, 2022 · Artificial Intelligence

AIDA Advertising Intelligent Decision and Allocation Framework: Evolution of Smart Auction Mechanisms

This article introduces the AIDA framework for Alibaba's display advertising, detailing the business background, multi‑objective optimization challenges, the design of Deep GSP and Neural Auction mechanisms powered by deep learning and reinforcement learning, and outlines future technical and platform directions while also announcing recruitment opportunities.

AIBig Dataadvertising

0 likes · 16 min read

AIDA Advertising Intelligent Decision and Allocation Framework: Evolution of Smart Auction Mechanisms

Alimama Tech

Mar 16, 2022 · Artificial Intelligence

Deep GSP: Multi‑Objective Deep Learning Based Advertising Auction Mechanism

Deep GSP is a multi‑objective, deep‑learning ad auction that jointly learns rank scores while enforcing game‑theoretic constraints—monotonicity, incentive compatibility, and Nash equilibrium—and a smooth‑transition penalty, using DDPG reinforcement learning to outperform traditional GSP across revenue, clicks, conversions, and add‑to‑cart metrics.

advertising auctiondeep learningmechanism design

0 likes · 18 min read

Deep GSP: Multi‑Objective Deep Learning Based Advertising Auction Mechanism

Alimama Tech

Sep 15, 2021 · Artificial Intelligence

Deep Neural Auction (DNA): End-to-End Optimization of Multi-Objective E‑commerce Advertising Auctions

Deep Neural Auction (DNA) integrates deep learning with mechanism design to end-to-end optimize multi-objective e-commerce ad auctions, preserving incentive compatibility and individual rationality, using differentiable sorting and set encoding, achieving superior revenue, CTR, CVR, and conversion metrics versus GSP variants in Alibaba experiments.

auction designdeep learningdifferentiable sorting

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Deep Neural Auction (DNA): End-to-End Optimization of Multi-Objective E‑commerce Advertising Auctions

DataFunTalk

May 19, 2020 · Fundamentals

Optimal Auction Mechanisms, Reserve Prices, Dynamic Pricing, and Budget Pacing in Online Advertising

This article explains the economic foundations of optimal auction mechanisms in online advertising, covering virtual valuations, market reserve price, dynamic reserve price, price‑compression factors, and practical budget‑pacing techniques used by platforms such as LinkedIn and Yahoo to balance spend and performance.

advertisingauction theorybudget pacing

0 likes · 24 min read

Optimal Auction Mechanisms, Reserve Prices, Dynamic Pricing, and Budget Pacing in Online Advertising

Model Perspective

Nov 3, 2018 · Game Development

How US STEM Game Competitions Can Shape China’s Education Innovation

Analyzing the US National STEM Video Game Challenge, this study reveals its rule design, support structures, and social organization participation, identifies strengths and shortcomings, and proposes five actionable recommendations—social organization involvement, collaborative teams, educationally guided judging, tool selection, and sustainability—to inform China’s STEM education initiatives.

NSVGCSTEM educationchina

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How US STEM Game Competitions Can Shape China’s Education Innovation