Real-Time Bidding

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

NetEase Cloud Music Tech Team

Jan 25, 2024 · Backend Development

Cloud Music RTA Advertising and User Acquisition System: Architecture and Optimization Practices

NetEase Cloud Music’s RTA advertising system delivers real‑time, personalized ads at massive scale by using isolated Nginx clusters, layered decoupling, asynchronous Netty/Redis processing, and optimized storage with hash‑based key compression and Protostuff serialization, while supporting automated audience selection and in‑app attribution to boost user acquisition.

Advertising TechnologyHigh Performance ComputingRTA advertising

0 likes · 12 min read

Cloud Music RTA Advertising and User Acquisition System: Architecture and Optimization Practices

Xiaohongshu Tech REDtech

Oct 19, 2022 · Artificial Intelligence

Modeling and Optimizing Real‑Time Bidding for Xiaohongshu "Fries" Advertising

Xiaohongshu’s commercial team modeled the real‑time bidding process for its “Fries” ad product, derived an optimal linear‑programming bid formula, and implemented a simple two‑parameter PID‑controlled scheme that meets client pacing, delivery guarantees, and platform profit goals while using practical heuristics.

Real-Time Biddingadvertising optimizationalgorithmic strategy

0 likes · 12 min read

Modeling and Optimizing Real‑Time Bidding for Xiaohongshu "Fries" Advertising

Alimama Tech

Sep 7, 2022 · Artificial Intelligence

Curriculum-Guided Bayesian Reinforcement Learning for ROI-Constrained Real-Time Bidding

The paper presents a Curriculum‑Guided Bayesian Reinforcement Learning (CBRL) framework that models ROI‑constrained real‑time bidding as a partially observable constrained MDP, using hard‑margin indicator rewards and a curriculum of relaxed proxy problems to achieve fast, constraint‑satisfying, Bayes‑optimal policies that outperform existing methods on large‑scale industrial data.

Bayesian RLMDPROI constraint

0 likes · 15 min read

Curriculum-Guided Bayesian Reinforcement Learning for ROI-Constrained Real-Time Bidding

DataFunTalk

Aug 27, 2022 · Artificial Intelligence

User Growth Algorithms and Engineering Practices at Huya Live Streaming

This article details Huya's comprehensive user growth framework, covering the full acquisition‑activation‑retention‑revenue funnel, advertising workflow, crowd targeting stages, uplift modeling, virtual callbacks, intelligent bidding, and engineering implementations such as material automation, low‑latency RTA filtering, and dynamic strategy operators.

HuyaReal-Time Biddingadvertising algorithms

0 likes · 14 min read

User Growth Algorithms and Engineering Practices at Huya Live Streaming

IEG Growth Platform Technology Team

Aug 16, 2022 · Artificial Intelligence

Actor‑Critic Reinforcement Learning for Real‑Time Bidding in Mobile Game Advertising

The paper proposes an actor‑critic reinforcement‑learning model (ACRL) that leverages PPO and a deep structured semantic model to optimize real‑time bidding strategies for mobile game ads under CPM and budget constraints, addressing long user lifecycles and sparse conversion data while demonstrably improving ROI in both offline simulations and online A/B tests.

Mobile AdvertisingROIReal-Time Bidding

0 likes · 16 min read

Actor‑Critic Reinforcement Learning for Real‑Time Bidding in Mobile Game Advertising

IEG Growth Platform Technology Team

Aug 10, 2022 · Artificial Intelligence

Two Tencent IEG Papers Accepted at CIKM: Actor‑Critic Reinforcement Learning for Optimal Bidding and Adversarial Adaptation for Cross‑Domain Recommendation

Tencent's IEG Growth Middle Platform team announced that two of its research papers—one presenting an actor‑critic reinforcement learning model for real‑time bidding in online display advertising and the other proposing an adversarial adaptation framework for cross‑domain recommendation—were accepted at the top‑tier CIKM conference, highlighting novel algorithms that achieve state‑of‑the‑art performance and have been deployed to serve billions of daily impressions.

Real-Time Biddingadversarial adaptationadvertising

0 likes · 4 min read

Two Tencent IEG Papers Accepted at CIKM: Actor‑Critic Reinforcement Learning for Optimal Bidding and Adversarial Adaptation for Cross‑Domain Recommendation

Alimama Tech

Oct 13, 2021 · Artificial Intelligence

Multi-Agent Cooperative Bidding Game Framework for Multi-Objective Optimization in Online Advertising

The paper presents MACG, a multi‑agent cooperative bidding game that integrates a global objective with individual advertiser goals, derives optimal bidding formulas, employs a strategy network and evolutionary search to tune parameters, and demonstrates over‑5% metric gains and stable 15‑day performance in Taobao’s online advertising platform.

Multi-Agent Reinforcement LearningReal-Time BiddingTaobao advertising platform

0 likes · 18 min read

Multi-Agent Cooperative Bidding Game Framework for Multi-Objective Optimization in Online Advertising

Alimama Tech

Sep 29, 2021 · Artificial Intelligence

Unified Solution to Constrained Bidding in Online Display Advertising (USCB)

The paper proposes a unified solution for real‑time bidding in online display ads that formulates advertiser budget and KPI limits as a constrained linear program, derives a closed‑form optimal bidding function with m+1 parameters, and uses model‑free reinforcement learning to dynamically adjust those parameters, achieving superior traffic‑value capture in large‑scale deployment on Alibaba’s Taobao platform.

Real-Time Biddingadvertisingconstrained optimization

0 likes · 11 min read

Unified Solution to Constrained Bidding in Online Display Advertising (USCB)

DataFunTalk

Jan 19, 2021 · Backend Development

Architecture and Practices of the 58.com Alliance Advertising Platform

This article presents a comprehensive overview of the 58.com alliance advertising platform, detailing its business model, core modules such as SSP, direct‑investment, DSP and creative platforms, media integration flow, performance optimizations, GC tuning, indexing strategies, and future directions for programmatic creative generation.

Big DataPerformance OptimizationReal-Time Bidding

0 likes · 12 min read

Architecture and Practices of the 58.com Alliance Advertising Platform

Ctrip Technology

Nov 5, 2020 · Operations

Applying PID Control Algorithm for Advertising Cost Control in Real-Time Bidding Systems

This article explains how the classic PID feedback control algorithm can be adapted to regulate advertising bidding costs, describing its theory, component effects, practical implementation in a real‑time ad‑exchange, simulation experiments, and the resulting improvements in budget adherence and cost stability.

PIDReal-Time Biddingadvertising

0 likes · 13 min read

Applying PID Control Algorithm for Advertising Cost Control in Real-Time Bidding Systems

JD Tech Talk

Jul 16, 2020 · Artificial Intelligence

Real-Time Bidding Advertising in the Financial Sector: Strategies, User Segmentation, and Optimization

The article examines the high costs of user acquisition in the FinTech industry, explains real‑time bidding mechanics, and proposes layered bidding and federated learning‑based user‑value prediction as optimal strategies to balance ad spend, impressions, and conversion quality.

Federated LearningReal-Time Biddingadvertising optimization

0 likes · 10 min read

Real-Time Bidding Advertising in the Financial Sector: Strategies, User Segmentation, and Optimization

DataFunTalk

Dec 6, 2019 · Backend Development

Technical Architecture and Practices of Youku's Demand‑Side Platform (DSP)

This article explains how Youku built and iterated its Demand‑Side Platform, covering business goals, system architecture, channel integration, bidding and frequency strategies, material selection, smooth budget delivery, retargeting, algorithmic recall, data monitoring, and conversion‑funnel optimization to drive user growth.

DSPReal-Time Biddingadvertising

0 likes · 12 min read

Technical Architecture and Practices of Youku's Demand‑Side Platform (DSP)

High Availability Architecture

Aug 5, 2015 · Big Data

DSP Advertising System Architecture and Key Technologies

This article presents a comprehensive overview of DSP advertising system architecture, covering real‑time bidding infrastructure, audience targeting, data processing pipelines using Hadoop, Spark and Storm, click‑through‑rate prediction models, and anti‑fraud mechanisms, offering practical insights for engineers building high‑performance ad platforms.

Big DataDSPReal-Time Bidding

0 likes · 24 min read

DSP Advertising System Architecture and Key Technologies