computational advertising

Tencent Advertising Technology

Nov 8, 2024 · Artificial Intelligence

Optimizing Real-Time Bidding: Machine Learning Approaches for Bid Shading and Winning Price Prediction

This article explores advanced machine learning techniques for optimizing bid shading in real-time advertising auctions, introducing a mixed censorship multi-task learning framework and a cost-effective active learning strategy to accurately predict winning price distributions and overcome sample selection bias.

Auction MechanismsBid ShadingReal-Time Bidding

0 likes · 16 min read

Optimizing Real-Time Bidding: Machine Learning Approaches for Bid Shading and Winning Price Prediction

DataFunTalk

Dec 21, 2022 · Artificial Intelligence

A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions

This article provides a thorough examination of computational advertising, covering the oCPM pricing model as a superset, classic system architecture, the evolution of core modules such as ad ranking, pacing, bidding, federated learning, calibration, and conversion‑delay handling, and concludes with career advice for algorithm engineers.

Federated Learningad rankingbudget optimization

0 likes · 29 min read

A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions

DataFunSummit

May 2, 2022 · Artificial Intelligence

Balancing ROI in Computational Advertising: Multi‑Party Game Theory and the Role of Information Asymmetry

The article examines computational advertising as a multi‑party game where advertisers and platforms continuously adjust pricing models—from CPM to oCPX—to balance ROI, emphasizing that the core commercial driver is exploiting information asymmetry through data‑driven targeting and algorithmic optimization.

ROIad pricing modelscomputational advertising

0 likes · 13 min read

Balancing ROI in Computational Advertising: Multi‑Party Game Theory and the Role of Information Asymmetry

DataFunSummit

Feb 3, 2022 · Artificial Intelligence

Insights into Recommendation Systems and Their Relation to Computational Advertising

This article examines how recommendation systems have evolved, highlighting the shared matching and ranking mechanisms with computational advertising while also identifying the distinct elements such as ad bidding and multi‑party objectives that differentiate advertising from pure recommendation.

Artificial IntelligenceData ModelingRecommendation systems

0 likes · 11 min read

Insights into Recommendation Systems and Their Relation to Computational Advertising

DataFunSummit

Jan 24, 2022 · Artificial Intelligence

Understanding oCPX: Intelligent Bidding, Calibration, and the Future of Computational Advertising

The article explains the origins, two‑stage mechanism, mathematical models, PID‑based calibration, and strategic implications of oCPX—an intelligent bidding solution that aims to align deep‑conversion pricing with platform revenue while highlighting its challenges and future direction in computational advertising.

PID controlad techbid optimization

0 likes · 31 min read

Understanding oCPX: Intelligent Bidding, Calibration, and the Future of Computational Advertising

DataFunTalk

Sep 16, 2020 · Fundamentals

Why Advertising Needs Computation: Fundamentals of Digital Ad Auctions and eCPM

The article explains the shift from traditional to digital advertising, detailing how personalized ad selection, eCPM calculation, auction mechanisms like second‑price and VCG, and programmatic approaches transform ad markets and why computational methods are essential for modern ad platforms.

ad techauction theorycomputational advertising

0 likes · 11 min read

Why Advertising Needs Computation: Fundamentals of Digital Ad Auctions and eCPM

DataFunTalk

Aug 27, 2020 · Artificial Intelligence

Computational Advertising vs Recommendation Systems: Key Differences and Popular Models

This article explains the fundamental differences between computational advertising and recommendation systems, outlines the distinct problems each field addresses, and surveys the most widely used advertising models—including traditional machine‑learning approaches, deep‑learning architectures, and hybrid solutions—providing practical insights for engineers in both domains.

AICTR modelsRecommendation systems

0 likes · 11 min read

Computational Advertising vs Recommendation Systems: Key Differences and Popular Models

360 Quality & Efficiency

Mar 17, 2020 · Fundamentals

An Overview of Online Advertising and the Fundamentals of Computational Advertising

This article introduces the evolution, basic concepts, pricing models, and testing considerations of online advertising, covering ad formats, bidding mechanisms, key industry terms, and practical SDK testing points for mobile and video ads.

ad pricing modelsad techcomputational advertising

0 likes · 8 min read

An Overview of Online Advertising and the Fundamentals of Computational Advertising

360 Quality & Efficiency

Jan 15, 2020 · Fundamentals

An Overview of Online Advertising: Concepts, Models, and Testing Practices

This article introduces the fundamentals of online advertising, covering its definition, evolution from contract to real‑time bidding models, key components such as DSP, ADX, ADN, RTB, various billing methods, and practical testing considerations for mobile ad SDKs.

ad techad testingcomputational advertising

0 likes · 7 min read

An Overview of Online Advertising: Concepts, Models, and Testing Practices

DataFunTalk

Sep 10, 2019 · Artificial Intelligence

Computational Advertising: Overview and Key Techniques from the Second Edition

The article introduces the second edition of "Computational Advertising", highlights its practical coverage of bidding algorithms, eCPM estimation, query expansion methods, and ad placement optimization, while also noting its industry impact, author credentials, and a limited‑time book giveaway.

ad techbidding algorithmscomputational advertising

0 likes · 10 min read

Computational Advertising: Overview and Key Techniques from the Second Edition

DataFunTalk

Jun 4, 2019 · Artificial Intelligence

Study Notes on "Computational Advertising": Overview, System Architecture, Targeted & Online Ads, E&E Algorithm

This article presents detailed study notes on the book “Computational Advertising”, covering an overview, ad system architecture, targeted advertising, online advertising, the E‑E algorithm, and additional insights, accompanied by illustrative diagrams to aid understanding of modern advertising technologies.

E&E algorithmad systemscomputational advertising

0 likes · 3 min read

Study Notes on "Computational Advertising": Overview, System Architecture, Targeted & Online Ads, E&E Algorithm

Baidu Tech Salon

Mar 21, 2014 · Artificial Intelligence

Baidu's Large-Scale Machine Learning Technology: Enabling Trillion-Feature Processing with Minute-Level Model Updates

Baidu's Big Data Machine Learning team, led by Xia Fen, unveiled a suite of five novel algorithms that together allow trillion‑scale feature processing, minute‑level model updates, and up to thousand‑fold efficiency gains in training and inference, dramatically surpassing existing solutions such as Google's billion‑feature systems.

BaiduCTR predictionDistributed Algorithms

0 likes · 6 min read

Baidu's Large-Scale Machine Learning Technology: Enabling Trillion-Feature Processing with Minute-Level Model Updates