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DataFunSummit
DataFunSummit
Apr 28, 2022 · Artificial Intelligence

ReRank: The Backstage of Recommendation Systems and Its Evolution Toward Ecosystem Reshaping

This article explores the role of ReRank in recommendation and advertising pipelines, detailing its algorithmic position, the challenges of diversity versus relevance, evaluation metrics such as DCG/NDCG, the evolution from heuristic methods to deep learning models, and practical insights from industry cases like Airbnb and Alibaba.

AdvertisingDiversityRerank
0 likes · 57 min read
ReRank: The Backstage of Recommendation Systems and Its Evolution Toward Ecosystem Reshaping
Meituan Technology Team
Meituan Technology Team
Apr 28, 2022 · Artificial Intelligence

Multi-Action Computation Allocation via Evolutionary Strategies in Meituan Takeaway Advertising

This article analyzes Meituan's delivery advertising system, detailing the shift from linear programming to an evolutionary‑strategy‑based multi‑action allocation (ES‑MACA), describing problem formalization, offline training, reward evaluation, online decision flow, extensive offline and online experiments, and future directions toward reinforcement learning.

AdvertisingMeituanevolutionary strategies
0 likes · 28 min read
Multi-Action Computation Allocation via Evolutionary Strategies in Meituan Takeaway Advertising
DataFunTalk
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.

AIAdvertisingDeep Learning
0 likes · 16 min read
AIDA Advertising Intelligent Decision and Allocation Framework: Evolution of Smart Auction Mechanisms
360 Quality & Efficiency
360 Quality & Efficiency
Apr 1, 2022 · Mobile Development

Understanding Mobile Advertising SDKs and Their Testing Strategies

The article explains what a mobile advertising SDK is, outlines its core components such as documentation, interfaces, logs, and samples, and details comprehensive testing approaches—including functional, compatibility, network, security, stability, and performance tests—organized in layered strategies from demo to code-level automation.

AdvertisingCompatibilityfunctional testing
0 likes · 6 min read
Understanding Mobile Advertising SDKs and Their Testing Strategies
HelloTech
HelloTech
Mar 28, 2022 · Artificial Intelligence

Algorithmic Optimization for Information Flow Advertising at Hello Travel

Hello Travel tackles information‑flow advertising challenges by using LightGBM‑based models to predict order conversion, creative performance, and pre‑bid user quality, augmenting sparse data with feature engineering and uplift techniques, while planning future fully automated delivery, richer pre‑screening, and cross‑channel reinforcement‑learning enhancements.

AdvertisingAlgorithm OptimizationLightGBM
0 likes · 18 min read
Algorithmic Optimization for Information Flow Advertising at Hello Travel
DataFunTalk
DataFunTalk
Mar 27, 2022 · Artificial Intelligence

Algorithmic Optimization for Information‑Flow Advertising at Hello Travel

This talk explains how Hello Travel tackles challenges in information‑flow advertising by describing the market landscape, their business background, and detailed algorithmic optimization across plan, creative, and pre‑bid dimensions, including data‑driven modeling, feature engineering, LightGBM and uplift models, and outlines future directions.

AdvertisingAlgorithm OptimizationLightGBM
0 likes · 16 min read
Algorithmic Optimization for Information‑Flow Advertising at Hello Travel
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 23, 2022 · Industry Insights

What Makes a Good CTR Benchmark? Lessons from Huawei’s FuxiCTR

The article analyzes the shortcomings of current click‑through‑rate benchmarks, explains why leaderboards are valuable, and proposes concrete criteria—including online evaluation, sequential test data, leakage prevention, and read‑only submissions—to build a more realistic and robust CTR benchmarking platform.

AdvertisingCTRleaderboard
0 likes · 6 min read
What Makes a Good CTR Benchmark? Lessons from Huawei’s FuxiCTR
DataFunTalk
DataFunTalk
Mar 12, 2022 · Artificial Intelligence

NetEase Cloud Music Advertising System: Algorithm Practice and Model Evolution

This article presents a comprehensive overview of NetEase Cloud Music's advertising system, detailing its architecture, core challenges, CTR and CVR prediction models, feature engineering, model evolution from LR to deep learning, user vector modeling, and practical recommendations for improving ad performance.

AdvertisingCTR predictionDeep Learning
0 likes · 15 min read
NetEase Cloud Music Advertising System: Algorithm Practice and Model Evolution
Meituan Technology Team
Meituan Technology Team
Mar 10, 2022 · Artificial Intelligence

Heterogeneous Ad Mixing and Candidate Expansion for Location-Based Services in Meituan In‑Store Advertising

To overcome the limited store‑candidate pool in Meituan’s location‑based in‑store advertising, the authors propose a heterogeneous mixing system that expands candidates with product ads, uses a shared‑representation network and Transformer‑based combination estimator, and applies a Thompson‑sampling cold‑start strategy, boosting RPM by up to 15 % while keeping latency low.

AdvertisingLocation-Based Servicescandidate expansion
0 likes · 19 min read
Heterogeneous Ad Mixing and Candidate Expansion for Location-Based Services in Meituan In‑Store Advertising
DataFunTalk
DataFunTalk
Feb 26, 2022 · Artificial Intelligence

Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike

This article presents Beike's experience in applying intelligent advertising to the real‑estate industry, detailing business background, key technical challenges, multi‑task conversion modeling, GEO user targeting, delayed‑feedback calibration, and ROI‑driven budget allocation to improve ad effectiveness.

AIAdvertisingReal Estate
0 likes · 10 min read
Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike
DataFunTalk
DataFunTalk
Feb 24, 2022 · Artificial Intelligence

Sequence Optimization and Context-Aware CTR Re-Estimation for JD Advertising Ranking

The article presents JD's technical evolution for advertising ranking, covering recommendation ad sorting, context‑aware CTR re‑estimation, reinforcement‑learning‑based sequence optimization, and session‑level auction mechanisms, and includes a Q&A that highlights practical gains and implementation challenges.

AdvertisingCTR predictionContext-Aware
0 likes · 14 min read
Sequence Optimization and Context-Aware CTR Re-Estimation for JD Advertising Ranking
Alimama Tech
Alimama Tech
Feb 16, 2022 · Databases

Optimizing Hologres Data Tables and Queries for Alibaba Advertising Inventory Management

By redesigning Hologres tables with column orientation, shard‑controlled Table Groups, distribution and clustering keys, adding bitmap indexes, refreshing statistics, caching external data, and tuning optimizer join order and resource scaling, Alibaba’s Mom advertising inventory system cut query latency by up to 35 % and memory use by 98 %, achieving a 5‑10× performance boost.

AdvertisingData WarehouseDatabase Performance
0 likes · 21 min read
Optimizing Hologres Data Tables and Queries for Alibaba Advertising Inventory Management
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Feb 14, 2022 · Artificial Intelligence

Multimodal Evolution and Application in Tencent Game Advertising System

This article describes the end‑to‑end multimodal modeling pipeline—covering text, image, and video understanding, model evolution from shallow to deep networks, key‑frame extraction, fine‑tuning, and multimodal fusion—used in Tencent's game ad exchange platform, along with practical deployment challenges and solutions.

AdvertisingCNNMultimodal Learning
0 likes · 22 min read
Multimodal Evolution and Application in Tencent Game Advertising System
dbaplus Community
dbaplus Community
Jan 12, 2022 · Big Data

How ClickHouse Powers YiBei's Scalable Advertising Data Platform

This article details YiBei's advertising data platform built on ClickHouse, covering business requirements, why ClickHouse was chosen over Druid, storage engine and compression choices, real‑time and offline ingestion pipelines, partitioning, Zookeeper bottlenecks, atomic data replacement, and testing and release strategies for a high‑throughput, low‑latency ad analytics system.

AdvertisingLambda architectureReal-Time
0 likes · 28 min read
How ClickHouse Powers YiBei's Scalable Advertising Data Platform
Alimama Tech
Alimama Tech
Jan 12, 2022 · Big Data

Marketing Mix Modeling (MMM): Background, Scenarios, Solutions, and Case Applications

Marketing Mix Modeling (MMM) is a statistical, macro‑level technique that quantifies the sales impact of diverse marketing, pricing, competitor, and economic factors, enabling brands to allocate budgets, simulate scenarios, and optimize ROI across online and offline channels, often complemented by attribution models for detailed digital insights.

AdvertisingMMMMarketing Mix Model
0 likes · 16 min read
Marketing Mix Modeling (MMM): Background, Scenarios, Solutions, and Case Applications
Alimama Tech
Alimama Tech
Jan 12, 2022 · Artificial Intelligence

AI FAAS Solution for Advertising Tools: Architecture, Platform, and Real‑time Feature SQL Production

The team built a lightweight AI‑FAAS platform that migrates C++ ad‑algorithm services to a Java‑centric, cloud‑native environment, encapsulates core operators as DolphinSQL plugins, and defines real‑time feature pipelines via standardized SQL, cutting service creation from weeks to days, enabling rapid iteration, high operator reuse, and near‑instant feature delivery.

AIAdvertisingAlgorithm Platform
0 likes · 14 min read
AI FAAS Solution for Advertising Tools: Architecture, Platform, and Real‑time Feature SQL Production
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Jan 10, 2022 · Artificial Intelligence

Applying Reinforcement Learning to Optimize Advertising Bidding ROI

This article presents a comprehensive overview of using reinforcement learning to solve advertising bidding ROI optimization, covering historical foundations, methodological reasoning, system architecture, practical implementation details, challenges, evaluation metrics, and recommended algorithms for real‑world ad placement scenarios.

AdvertisingROI optimizationad bidding
0 likes · 17 min read
Applying Reinforcement Learning to Optimize Advertising Bidding ROI
DataFunTalk
DataFunTalk
Dec 23, 2021 · Big Data

Building an Advertising Data Platform on ClickHouse: Architecture, Challenges, and Practices

This article details the design and implementation of an advertising data platform at eBay, explaining the business scenario, why ClickHouse was chosen over alternatives, the technical challenges faced, and the solutions involving lambda architecture, table engine choices, compression techniques, data ingestion pipelines, consistency guarantees, and deployment practices.

AdvertisingBig DataClickHouse
0 likes · 26 min read
Building an Advertising Data Platform on ClickHouse: Architecture, Challenges, and Practices
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Dec 20, 2021 · Artificial Intelligence

Comprehensive Guide to pCTR Modeling, Optimization, and Online Learning in Real‑Time Advertising Systems

This article presents a three‑part technical guide covering the fundamentals of computational advertising and real‑time bidding, detailed offline pCTR model training pipelines with feature engineering, calibration and model structure improvements, and advanced online learning techniques such as parameter freezing, sample replay and knowledge distillation, all aimed at boosting CTR performance and reducing bias in large‑scale ad platforms.

AdvertisingCTR predictionOnline Learning
0 likes · 37 min read
Comprehensive Guide to pCTR Modeling, Optimization, and Online Learning in Real‑Time Advertising Systems
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Dec 6, 2021 · Artificial Intelligence

Model-Free Reinforcement Learning for ROI Optimization: Methods, Advertising Applications, and Tencent Game Advertising Practice

This article introduces model‑free reinforcement learning fundamentals, reviews mainstream solution methods such as Monte‑Carlo, Temporal‑Difference, and n‑step TD with eligibility traces, discusses their application in online advertising and presents Tencent's game advertising practice, including algorithm choices, reward design, and experimental results.

A3CAdvertisingPPO
0 likes · 17 min read
Model-Free Reinforcement Learning for ROI Optimization: Methods, Advertising Applications, and Tencent Game Advertising Practice
DataFunTalk
DataFunTalk
Nov 6, 2021 · Artificial Intelligence

Elastic Federated Learning Solution (EFLS): Project Overview, Architecture, and Technical Implementation

The article introduces Alibaba's Elastic Federated Learning Solution (EFLS), describing its business motivations, core functionalities, system architecture, sample‑set intersection, federated training pipeline, novel algorithms, product console, and future roadmap for privacy‑preserving advertising in large‑scale sparse scenarios.

AdvertisingDistributed SystemsFederated Learning
0 likes · 18 min read
Elastic Federated Learning Solution (EFLS): Project Overview, Architecture, and Technical Implementation
Alimama Tech
Alimama Tech
Oct 27, 2021 · Artificial Intelligence

Elastic Federated Learning Solution (EFLS): Architecture, Core Functions, and Technical Details

The Elastic Federated Learning Solution (EFLS) is Alibaba’s open‑source platform that enables privacy‑preserving vertical and horizontal federated learning for large‑scale sparse advertising, offering data‑intersection, high‑performance C++ training, a visual console, novel aggregation algorithms, and a roadmap toward multi‑party scaling and advanced encryption.

AdvertisingElastic Federated LearningFlink
0 likes · 16 min read
Elastic Federated Learning Solution (EFLS): Architecture, Core Functions, and Technical Details
Meituan Technology Team
Meituan Technology Team
Oct 14, 2021 · Artificial Intelligence

Deep Learning Advances for Click‑Through Rate Prediction in Meituan's Location‑Based Advertising

Meituan's ad team uses deep learning to handle LBS distance constraints and long‑term periodic behavior, introducing DPIN for position/context bias, an ultra‑long sequence encoder with spatiotemporal activator, dynamic candidate generation, and memory‑augmented continual learning, boosting RPM 2‑20% and enabling sub‑millisecond inference.

AdvertisingCTR predictionDeep Learning
0 likes · 29 min read
Deep Learning Advances for Click‑Through Rate Prediction in Meituan's Location‑Based Advertising
Baidu Intelligent Testing
Baidu Intelligent Testing
Sep 28, 2021 · Databases

Design and Evolution of BaikalDB: A Cloud‑Native Distributed Database for Commercial Advertising Systems

This article examines the business storage requirements of large‑scale advertising platforms and details how BaikalDB was architected as a cloud‑native, MySQL‑compatible distributed database that combines OLTP, OLAP, KV and full‑text capabilities while ensuring high reliability, low cost and linear scalability.

AdvertisingBaikalDBCloud Native
0 likes · 24 min read
Design and Evolution of BaikalDB: A Cloud‑Native Distributed Database for Commercial Advertising Systems
DataFunSummit
DataFunSummit
Sep 10, 2021 · Artificial Intelligence

Advances in Pre‑Ranking: The COLD System for Large‑Scale Advertising

This article reviews the evolution of coarse‑ranking in large‑scale ad systems, explains the two main technical routes—set selection and precise value estimation—introduces the Computing‑Power‑Cost‑Aware Online Lightweight Deep (COLD) pre‑ranking framework, and presents experimental results and future directions for deeper integration with fine‑ranking.

AdvertisingCOLDfeature selection
0 likes · 21 min read
Advances in Pre‑Ranking: The COLD System for Large‑Scale Advertising
Xianyu Technology
Xianyu Technology
Aug 19, 2021 · Backend Development

Architecture of a Community Advertising Placement System

The article describes a three‑layer community advertising placement system for Xianyu, detailing its four core processes (recruitment, selection, construction, delivery), resource slots, material templates, task definition, data storage, real‑time monitoring, and successful case studies, while outlining future algorithmic enhancements.

AdvertisingData-drivenReal-Time
0 likes · 11 min read
Architecture of a Community Advertising Placement System
Alimama Tech
Alimama Tech
Aug 18, 2021 · Artificial Intelligence

Overview of Recent Alibaba Mama Research Papers on AI and Large‑Scale Advertising Systems

The article surveys six Alibaba Mama papers accepted at CIKM 2021, presenting novel AI methods—including a heterogeneous graph neural network for keyword matching, a star‑topology multi‑domain CTR model, a compact hash embedding technique, adaptive masked twins layers, automated hierarchical conversion prediction, and a scalable multi‑view ad retrieval system—each demonstrating substantial online performance improvements and large‑scale deployment.

AIAdvertisingCTR prediction
0 likes · 11 min read
Overview of Recent Alibaba Mama Research Papers on AI and Large‑Scale Advertising Systems
Tencent Advertising Technology
Tencent Advertising Technology
Aug 18, 2021 · Artificial Intelligence

2021 Tencent Advertising Algorithm Competition: Winners, Accepted Papers, and Reviewer Feedback

The 2021 Tencent Advertising Algorithm Competition, held as the ACM MM 2021 Grand Challenge, announced the top three teams for two tracks, presented the accepted multimodal video advertising papers with detailed reviewer comments, and highlighted the significance of algorithmic innovation over ranking alone.

ACM MMAIAdvertising
0 likes · 8 min read
2021 Tencent Advertising Algorithm Competition: Winners, Accepted Papers, and Reviewer Feedback
DataFunSummit
DataFunSummit
Aug 12, 2021 · Artificial Intelligence

Algorithmic Practices in Hulu’s Video Advertising Platform

This article explains how Hulu leverages machine learning and AI techniques such as ad targeting, inventory prediction, flow matching, conversion rate optimization, causal inference, and shared‑account detection to improve the efficiency, effectiveness, and revenue of its video advertising ecosystem.

AIAd TargetingAdvertising
0 likes · 14 min read
Algorithmic Practices in Hulu’s Video Advertising Platform
DataFunSummit
DataFunSummit
Aug 11, 2021 · Backend Development

Technical Architecture of Alibaba's Intelligent Marketing Advertising Platform

This article presents a comprehensive overview of Alibaba's intelligent marketing advertising platform, covering business fundamentals, microservice migration, service governance, database design, real‑time data transmission, billing, reporting, and performance optimizations for high‑throughput, low‑latency ad delivery.

AdvertisingMicroservicesdatabase
0 likes · 17 min read
Technical Architecture of Alibaba's Intelligent Marketing Advertising Platform
Alimama Tech
Alimama Tech
Aug 11, 2021 · Artificial Intelligence

Dynamic Descriptive Model: A Scalable Paradigm for High‑Quality Native Creative Generation

The Dynamic Descriptive Model (DDM) introduces a scalable pipeline that automatically harvests product assets, perceives their visual attributes, encodes designers’ expertise in an extended SVG‑based descriptive language, and generates high‑quality, native‑looking ad creatives at massive scale, delivering 5‑80 % CTR gains and tens of millions of daily outputs.

AIAdvertisingComputer Vision
0 likes · 13 min read
Dynamic Descriptive Model: A Scalable Paradigm for High‑Quality Native Creative Generation
DataFunSummit
DataFunSummit
Aug 6, 2021 · Artificial Intelligence

Personalized Advertising Ranking and Intelligent Bidding in iQIYI Effect Advertising

This article presents iQIYI's effect advertising system, detailing its dual-engine resource layout, oCPX billing model, algorithmic challenges of high‑dimensional sparse conversion data, the multi‑stage personalized recommendation pipeline, eCPM‑based ranking, online training/inference workflow, and intelligent bidding strategies that balance cost control and traffic quality.

Advertisingclick-through rateconversion estimation
0 likes · 11 min read
Personalized Advertising Ranking and Intelligent Bidding in iQIYI Effect Advertising
Tencent Architect
Tencent Architect
Jul 29, 2021 · Artificial Intelligence

Performance Optimization of Advertising Coarse‑Ranking Training on the Light Framework

This article analyzes the bottlenecks of advertising coarse‑ranking training on the Light framework and presents a series of optimizations—including parallel data download, thread‑queue buffering, integer‑to‑string conversion with fmt, and zlib replacement with czlib—that together achieve up to 58% QPS improvement and notable CPU efficiency gains.

AdvertisingCPU/GPU efficiencyData Parallelism
0 likes · 11 min read
Performance Optimization of Advertising Coarse‑Ranking Training on the Light Framework
ByteFE
ByteFE
Jul 13, 2021 · Information Security

Privacy vs. Personalization in Advertising: Technical Foundations and Emerging Solutions

The article examines how increasing privacy regulations—especially after iOS 14—challenge personalized advertising by focusing on the technical core of user identification, the risks of cross‑domain data sharing, and a range of mitigation strategies such as fingerprint protection, third‑party cookie blocking, and privacy‑preserving attribution frameworks like PCM, SKAdNetwork, AEM, and FLoC.

AdvertisingWebinformation security
0 likes · 34 min read
Privacy vs. Personalization in Advertising: Technical Foundations and Emerging Solutions
Youzan Coder
Youzan Coder
Jul 6, 2021 · Big Data

Overview of Youzan DSP Advertising Platform and Its Testing Challenges

The article outlines Youzan’s Demand‑Side Platform, detailing its ad channels, placement and bidding strategies, data tracking and order attribution mechanisms, and multi‑channel feedback, while highlighting testing difficulties such as Kafka‑driven tracking, link parameter loss, UUID inconsistencies, and the need for robust third‑party API monitoring.

AdvertisingBidding StrategyDSP
0 likes · 8 min read
Overview of Youzan DSP Advertising Platform and Its Testing Challenges
Meituan Technology Team
Meituan Technology Team
Jun 10, 2021 · Artificial Intelligence

Deep Position-wise Interaction Network for CTR Prediction

The Meituan team introduces DPIN, a three‑module deep network that jointly models ads and their positions to mitigate position bias in CTR prediction, achieving up to 2.98% AUC improvement, 2.25% higher CTR and 2.15% RPM gains while keeping latency modest, and is applicable to broader ranking tasks.

AdvertisingCTR predictionDPIN
0 likes · 24 min read
Deep Position-wise Interaction Network for CTR Prediction
dbaplus Community
dbaplus Community
May 23, 2021 · Backend Development

Designing Scalable Advertising Systems: Architecture, Challenges, and Solutions

This article explains the fundamentals of online advertising business, outlines its technical challenges such as high concurrency, complex logic, and massive data handling, and then details a practical architecture—including data storage, indexing, retrieval, billing, and reporting—offering actionable insights for building robust ad platforms.

AdvertisingBackendSystem Architecture
0 likes · 16 min read
Designing Scalable Advertising Systems: Architecture, Challenges, and Solutions
DataFunTalk
DataFunTalk
May 20, 2021 · Artificial Intelligence

Fundamentals and Nuances of CTR (Click‑Through Rate) Modeling

This article explains the theoretical foundations of CTR modeling, why click‑through rates are intrinsically unpredictable at the micro level, the simplifying assumptions that make binary classification feasible, and how evaluation metrics like AUC, contradictory samples, theoretical AUC bounds, and calibration affect model performance.

AUCAdvertisingCTR
0 likes · 18 min read
Fundamentals and Nuances of CTR (Click‑Through Rate) Modeling
DataFunTalk
DataFunTalk
May 19, 2021 · Artificial Intelligence

Causal Inference for Optimizing Advertising Budget Allocation in Fliggy Search CPC Ads

This article explains how causal inference techniques are applied to model the uplift effect of ad placement in Alibaba's Fliggy search CPC advertising, transforming budget allocation into a multi‑objective optimization problem and describing practical control methods, feature engineering, sample re‑sampling, model designs, uplift evaluation, and future research directions.

AdvertisingUplift Modelingbudget allocation
0 likes · 18 min read
Causal Inference for Optimizing Advertising Budget Allocation in Fliggy Search CPC Ads
JD Tech
JD Tech
Apr 30, 2021 · Artificial Intelligence

Smart DMP: A Next‑Generation Intelligent Targeting System for E‑commerce Advertising

This article reviews the limitations of traditional DMP and AI‑driven intelligent targeting in e‑commerce, introduces JD.com's Smart DMP framework that combines merchant intent with high‑relevance modeling, and presents experimental results showing over 15% CTR improvement and widespread merchant adoption.

AIAdvertisingSmart DMP
0 likes · 9 min read
Smart DMP: A Next‑Generation Intelligent Targeting System for E‑commerce Advertising
DataFunTalk
DataFunTalk
Apr 24, 2021 · Artificial Intelligence

Intelligent Advertising Delivery System and Techniques: From Budget‑Constrained Bidding to Multi‑Channel Optimization

This article systematically introduces Alibaba's advertising intelligence platform, covering the evolution from basic CPM/CPC models to advanced OCPC/OCPM, budget‑constrained bidding, multi‑constraint bidding, sequence‑based long‑term value bidding, multi‑channel allocation, and the AI‑driven Smart Bidding product, highlighting algorithmic foundations, practical implementations, and performance gains.

AdvertisingMulti‑Channelbidding
0 likes · 32 min read
Intelligent Advertising Delivery System and Techniques: From Budget‑Constrained Bidding to Multi‑Channel Optimization
DataFunTalk
DataFunTalk
Feb 21, 2021 · Artificial Intelligence

Advances in Pre‑Ranking for Large‑Scale Advertising: The COLD Framework and Its Technical Evolution

This article reviews the development history, technical routes, and recent breakthroughs of pre‑ranking (coarse ranking) in large‑scale advertising systems, focusing on Alibaba's COLD (Computing‑power‑cost‑aware Online and Lightweight Deep) framework, its model design, engineering optimizations, experimental results, and future research directions.

AdvertisingCOLDOnline Learning
0 likes · 20 min read
Advances in Pre‑Ranking for Large‑Scale Advertising: The COLD Framework and Its Technical Evolution
DataFunTalk
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.

Ad TechAdvertisingBackend Architecture
0 likes · 12 min read
Architecture and Practices of the 58.com Alliance Advertising Platform
DataFunSummit
DataFunSummit
Jan 7, 2021 · Backend Development

Architecture and Practices of 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, DSP, media and creative platforms, system architecture, performance optimizations, big‑data processing, and future directions for programmatic creative generation.

Ad TechAdvertisingDSP
0 likes · 13 min read
Architecture and Practices of 58.com Alliance Advertising Platform
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 16, 2020 · Artificial Intelligence

How to Detect and Prevent Advertising Fraud with Advanced AI Techniques

This article explains the scale of online ad fraud, outlines common advertising billing models, describes how fake traffic generates revenue, defines invalid clicks, and presents a comprehensive anti‑fraud system that combines rule‑based methods, feature engineering, and AI models such as TextCNN, BiLSTM, BERT, Wide&Deep and GraphSage to identify and block fraudulent ad clicks.

AIAd FraudAdvertising
0 likes · 33 min read
How to Detect and Prevent Advertising Fraud with Advanced AI Techniques
58 Tech
58 Tech
Nov 18, 2020 · Artificial Intelligence

Applying Graph Algorithms and Graph Convolutional Networks to Advertising Anti‑Fraud

This article describes how graph theory and graph convolutional neural networks are leveraged to model user‑IP relationships, detect fraudulent advertising clusters, and improve detection accuracy and recall through a combination of unsupervised graph algorithms and supervised GCN training in a large‑scale ad‑anti‑fraud system.

AdvertisingGCNSpark GraphX
0 likes · 14 min read
Applying Graph Algorithms and Graph Convolutional Networks to Advertising Anti‑Fraud
DataFunTalk
DataFunTalk
Nov 11, 2020 · Artificial Intelligence

Cold-Start Optimization for Feed Ads: Algorithm Design and Experimental Evaluation

In this live talk, Dr. Zhang Renyu, an assistant professor at NYU Shanghai and economist at Kuaishou, presents his research on optimizing cold-start problems in feed advertising using a novel Shadow Bidding with Learning (SBL) algorithm, detailing its design, implementation, and experimental results.

Advertisingalgorithmcold-start
0 likes · 4 min read
Cold-Start Optimization for Feed Ads: Algorithm Design and Experimental Evaluation
Hulu Beijing
Hulu Beijing
Nov 10, 2020 · Artificial Intelligence

Hulu’s AI Secrets: Binge Ad Prediction and Real‑Time Allocation

On November 7, 2020, Hulu’s Shulei presented how the company’s video advertising platform employs AI-driven algorithms—including binge‑watch prediction, inventory forecasting with Prophet, and a PID‑controller based real‑time allocation system—to enhance targeting, optimize revenue, and improve user experience.

AIAdvertisingPrediction
0 likes · 7 min read
Hulu’s AI Secrets: Binge Ad Prediction and Real‑Time Allocation
iQIYI Technical Product Team
iQIYI Technical Product Team
Nov 6, 2020 · Big Data

Recommended Technical Articles: iQiyi Effect Advertising Exploration and Druid Practice

This recommendation highlights two iTech Forum pieces—one detailing iQiyi’s effect advertising exploration and implementation, and another documenting the company’s Druid practice and technical evolution—providing readers with in‑depth case studies, performance insights, and practical guidance for similar large‑scale data and advertising systems.

AdvertisingBig DataData Analytics
0 likes · 1 min read
Recommended Technical Articles: iQiyi Effect Advertising Exploration and Druid Practice
DataFunTalk
DataFunTalk
Oct 26, 2020 · Product Management

Intelligent Advertising and Growth Platform: Strategies and Technologies from Tencent

This article presents Tencent's growth platform, detailing challenges of multi‑channel traffic, material specifications, bidding strategies, and user segmentation, and explains the automated advertising system, RTA and DPA models, material generation pipelines, and the integrated pull‑to‑push approach for user acquisition and retention.

AdvertisingDPAGrowth
0 likes · 17 min read
Intelligent Advertising and Growth Platform: Strategies and Technologies from Tencent
DataFunTalk
DataFunTalk
Sep 14, 2020 · Artificial Intelligence

New Generation Rank Technology: Search‑Based Interest Model (SIM) and Dynamic Computation Allocation Framework (DCAF) for Alibaba Directed Advertising

This article presents Alibaba's latest ranking innovations for directed e‑commerce advertising, detailing the challenges of long‑term user interest modeling, the Search‑Based Interest Model (SIM) that extends behavior sequences to ten thousand actions, and the Dynamic Computation Allocation Framework (DCAF) that optimizes per‑request compute resources to maximize system revenue.

AdvertisingCTR modeldynamic computation allocation
0 likes · 29 min read
New Generation Rank Technology: Search‑Based Interest Model (SIM) and Dynamic Computation Allocation Framework (DCAF) for Alibaba Directed Advertising
转转QA
转转QA
Sep 3, 2020 · Operations

Automated Regression Testing for Advertising Recall: Tools, Process, and Lessons Learned

This article describes how a commercial advertising team transformed manual ad‑recall testing into a semi‑automated regression workflow by building comparison, log, result, and case tools, addressing challenges such as anti‑fraud restrictions, data quality, special scenarios, and inter‑case interference.

AdvertisingAutomationTooling
0 likes · 13 min read
Automated Regression Testing for Advertising Recall: Tools, Process, and Lessons Learned
58 Tech
58 Tech
Aug 31, 2020 · Artificial Intelligence

Deep Learning Practices for Commercial CTR Prediction at 58.com

This article details the end‑to‑end deep‑learning workflow for click‑through‑rate (CTR) prediction in 58.com’s commercial ranking system, covering system architecture, feature engineering, sample construction, model evolution from Wide&Deep to DIN/DIEN, and engineering optimizations that together yielded significant CPM and CVR improvements.

AdvertisingCTR predictionDeep Learning
0 likes · 38 min read
Deep Learning Practices for Commercial CTR Prediction at 58.com
58 Tech
58 Tech
Aug 21, 2020 · Backend Development

Design and Optimization Practices of the Advertising Transmission Channel at LEGO Platform

This article systematically introduces the advertising transmission process, outlines challenges of scale and stability, and presents a comprehensive set of architectural, operational, and performance optimizations—including primary‑backup high availability, stateless incremental processing, message reliability, flow tiering, indexing sharding, and schedule management—to achieve high‑throughput, low‑latency, and eventually consistent ad delivery.

AdvertisingData ConsistencyScalability
0 likes · 8 min read
Design and Optimization Practices of the Advertising Transmission Channel at LEGO Platform
Meituan Technology Team
Meituan Technology Team
Aug 20, 2020 · Artificial Intelligence

Debiasing Competition Solution: Multi‑hop i2i Graph Modeling for Advertising Recommendation

The winning KDD Cup 2020 debiasing solution builds a heterogeneous item‑to‑item graph with click‑co‑occurrence and multimodal similarity edges, uses multi‑hop random walks to generate unbiased candidate samples, trains LightGBM with a popularity‑weighted loss, and aggregates scores to lift low‑popularity items, thereby eliminating selection and popularity bias and achieving first place among 1,895 teams.

AdvertisingGraph ModelingKDD Cup
0 likes · 23 min read
Debiasing Competition Solution: Multi‑hop i2i Graph Modeling for Advertising Recommendation
DataFunTalk
DataFunTalk
Aug 15, 2020 · Artificial Intelligence

Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value

The article presents a novel multi‑channel sequential advertising framework that models budget‑constrained GMV optimization as a dynamic knapsack problem, introduces a long‑term value‑based RL solution (MSBCB), and validates its superiority through extensive offline and online experiments showing up to 10% ROI improvement.

Advertisingbudget optimizationdynamic knapsack
0 likes · 16 min read
Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value
Tencent Advertising Technology
Tencent Advertising Technology
Jul 30, 2020 · Artificial Intelligence

Tencent Advertising Algorithm Competition 2020: Problem Overview, Data, Model Implementation, and Results

This article details the 2020 Tencent Advertising Algorithm Competition, describing the user profiling task, data fields, feature engineering, Python code for ID mapping and Word2Vec training, multiple model architectures (LSTM, CNN-Inception, transformer), and the final performance results achieved by the team.

AdvertisingCNNLSTM
0 likes · 13 min read
Tencent Advertising Algorithm Competition 2020: Problem Overview, Data, Model Implementation, and Results
Tencent Advertising Technology
Tencent Advertising Technology
Jul 30, 2020 · Artificial Intelligence

Winning Strategies for the Tencent Advertising Algorithm Competition: Text Classification with Word2Vec and BiLSTM

The article details the Tencent Advertising Algorithm competition final, explains the chizhu team's approach of converting ad IDs into word sequences for text classification using large‑scale word2vec embeddings and a dual BiLSTM architecture, presents custom loss functions, training tricks, and shares full Python model code, achieving an overall rank of 11.

AdvertisingBiLSTMDeep Learning
0 likes · 9 min read
Winning Strategies for the Tencent Advertising Algorithm Competition: Text Classification with Word2Vec and BiLSTM
JD Retail Technology
JD Retail Technology
Jul 15, 2020 · Artificial Intelligence

Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com

The paper introduces a Category‑Specific Convolutional Neural Network (CSCNN) that jointly leverages product category information and visual features of e‑commerce images to improve click‑through‑rate (CTR) prediction, detailing its architecture, training strategy, large‑scale experiments, and significant performance gains in JD.com’s advertising system.

AdvertisingCTR predictioncategory-specific CNN
0 likes · 13 min read
Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com
DataFunTalk
DataFunTalk
Jun 12, 2020 · Artificial Intelligence

Content Understanding for Advertising on Weibo: Challenges, Solutions, and Applications

This article explains how Weibo's advertising platform leverages content understanding—covering system architecture, problems caused by insufficient comprehension, the construction of NLP and vision capabilities, content‑based ad strategies, and a celebrity‑brand knowledge graph—to improve ad relevance and ROI.

AdvertisingKnowledge GraphNLP
0 likes · 13 min read
Content Understanding for Advertising on Weibo: Challenges, Solutions, and Applications
Tencent Advertising Technology
Tencent Advertising Technology
Jun 10, 2020 · Artificial Intelligence

Improving Advertising Inventory Forecasting with Deep Spatial‑Temporal Tensor Factorization

The article explains how advertising inventory forecasting—predicting how many users will see a specific ad—poses challenges due to fluctuating traffic and user segmentation, and describes a new deep spatial‑temporal tensor factorization model that dramatically improves prediction accuracy, scalability, and robustness for large‑scale ad platforms.

AIAdvertisingDeep Learning
0 likes · 11 min read
Improving Advertising Inventory Forecasting with Deep Spatial‑Temporal Tensor Factorization
DataFunTalk
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
Tencent Advertising Technology
Tencent Advertising Technology
May 12, 2020 · Artificial Intelligence

Insights and Solution Approaches for the 2020 Tencent Advertising Algorithm Competition

The 2020 Tencent Advertising Algorithm Competition challenges participants to predict user gender and age from 90‑day click logs, and the champion shares data understanding, feature engineering techniques such as one‑hot, TF‑IDF, Word2Vec, and modeling strategies including GBDT and RNN/LSTM/GRU to guide competitors.

AdvertisingTencentaudience prediction
0 likes · 4 min read
Insights and Solution Approaches for the 2020 Tencent Advertising Algorithm Competition
DataFunTalk
DataFunTalk
May 11, 2020 · Artificial Intelligence

Advances in Click‑Through Rate Prediction: Deep Spatio‑Temporal Networks, Memory Networks, and Feature Expression Learning

This article reviews recent innovations in CTR prediction for an intelligent marketing platform, covering deep spatio‑temporal networks, deep memory networks, and a feature‑expression‑assisted learning framework, with system architecture details, experimental results, and references to KDD and IJCAI papers.

AdvertisingCTR predictionDeep Learning
0 likes · 15 min read
Advances in Click‑Through Rate Prediction: Deep Spatio‑Temporal Networks, Memory Networks, and Feature Expression Learning
iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 24, 2020 · Cloud Computing

Technical Insights into Cloud Gaming Advertising Trials: Low‑Latency RTCDN Solutions by iQIYI Live Cloud

In an interview, iQIYI Live Cloud’s Chen Kunzhong explains how their WebRTC‑based RTCDN reduces encoding and transmission delay to achieve roughly 100 ms end‑to‑end latency for cloud‑gaming ads, supporting cross‑device play, instant click‑to‑play sessions, and future 5G‑enhanced high‑resolution experiences.

5GAdvertisingLow latency
0 likes · 9 min read
Technical Insights into Cloud Gaming Advertising Trials: Low‑Latency RTCDN Solutions by iQIYI Live Cloud
DataFunTalk
DataFunTalk
Apr 13, 2020 · Artificial Intelligence

Deep Spatio‑Temporal Neural Networks and Memory‑Augmented DNN for Click‑Through Rate Prediction

This article presents the design, challenges, and experimental evaluation of DSTN (with pooling, self‑attention, and interactive‑attention variants) and MA‑DNN models for CTR prediction, highlighting how temporal and contextual ad information improves accuracy and yields significant online gains in large‑scale advertising systems.

AdvertisingCTR predictionDeep Learning
0 likes · 16 min read
Deep Spatio‑Temporal Neural Networks and Memory‑Augmented DNN for Click‑Through Rate Prediction
iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 10, 2020 · Artificial Intelligence

iQIYI Effect Advertising: Product Overview, Ranking Algorithm Practices, and Business Strategy

The iQIYI effect advertising platform offers in‑frame and out‑of‑frame slots, uses CPX and oCPX billing with real‑time eCPM bidding, and employs a three‑stage ranking funnel—recall, coarse‑ranking, and fine‑ranking—powered by dual‑tower, wide‑deep and multi‑task models, while smart‑bidding, cold‑start handling, and traffic‑level adjustments automate optimization and stabilize conversion costs.

AdvertisingiQIYIoCPX
0 likes · 20 min read
iQIYI Effect Advertising: Product Overview, Ranking Algorithm Practices, and Business Strategy
Youku Technology
Youku Technology
Apr 3, 2020 · Industry Insights

How Youku Scaled Millions of DAU with DSP‑Driven RTB Advertising Algorithms

This article explains how Youku combined user‑growth objectives with real‑time bidding (RTB) advertising, designing and optimizing DSP algorithms to maximize high‑value daily active users under cost constraints, covering business background, RTB mechanics, ranking models, pricing strategies, engineering pipelines, and future directions.

AdvertisingDSPRTB
0 likes · 13 min read
How Youku Scaled Millions of DAU with DSP‑Driven RTB Advertising Algorithms
58 Tech
58 Tech
Mar 30, 2020 · Artificial Intelligence

Embedding Techniques for Advertising Recall and Ranking in a Second-Hand Car Platform

This article details the commercial strategy team's exploration of embedding technologies for a second‑hand car platform, covering mainstream embedding methods, their application in advertising recall and ranking pipelines, system architecture, model optimizations, evaluation results, and future directions.

AdvertisingDSSMDeep Learning
0 likes · 22 min read
Embedding Techniques for Advertising Recall and Ranking in a Second-Hand Car Platform
iQIYI Technical Product Team
iQIYI Technical Product Team
Mar 27, 2020 · Artificial Intelligence

Advertising Inventory Estimation and Allocation Techniques at iQIYI: From ARIMA to Deep Learning and AI Tagging

iQIYI’s brand‑advertising system combines statistical and ARIMA‑based forecasting, adaptive and deep‑learning models, factorization‑machine regression, large‑scale bipartite‑graph allocation, hierarchical handling of long‑tail dimensions, frequency‑capping constraints, and an AI‑driven video‑tagging pipeline to accurately estimate inventory and dynamically place ads.

AI taggingARIMAAdvertising
0 likes · 26 min read
Advertising Inventory Estimation and Allocation Techniques at iQIYI: From ARIMA to Deep Learning and AI Tagging
Xianyu Technology
Xianyu Technology
Mar 12, 2020 · R&D Management

Kunpeng Advertising System Architecture and Operational Design for Xianyu

Kunpeng, a three‑level advertising framework for Xianyu, unifies activity‑scene‑material abstraction, extensible DataFetcher and modular filter libraries, and a global traffic‑mixing algorithm, enabling business groups to self‑service material delivery, achieve 60‑100% conversion gains, cut UV cost by ~40% and halve time‑to‑market.

AdvertisingR&D managementSystem Architecture
0 likes · 11 min read
Kunpeng Advertising System Architecture and Operational Design for Xianyu
DataFunTalk
DataFunTalk
Jan 8, 2020 · Backend Development

Building a High‑Performance, High‑Availability Advertising System at Alibaba: Architecture, Challenges, and Practices

This talk presents Alibaba's intelligent marketing platform, detailing its three ad systems, the massive data and low‑latency requirements, and the architectural solutions—including cold‑hot data separation, OLDB storage, full‑link tracing, elastic compute, and platform‑level componentization—that achieve high performance, high availability, and cost‑effective operation.

AdvertisingBackendSystem Architecture
0 likes · 16 min read
Building a High‑Performance, High‑Availability Advertising System at Alibaba: Architecture, Challenges, and Practices
DataFunTalk
DataFunTalk
Jan 6, 2020 · Artificial Intelligence

Weibo O-Series Advertising System: Smart Bidding, Intelligent Targeting, and ROI Modeling

The article explains Weibo’s O‑Series advertising system, detailing its three‑part strategy of smart bidding, intelligent targeting, and ROI modeling, the underlying machine‑learning techniques such as deep‑FM, dual‑tower and PID control, and how these components optimize show, click, conversion rates and advertiser ROI.

AdvertisingROIRecommendation Systems
0 likes · 14 min read
Weibo O-Series Advertising System: Smart Bidding, Intelligent Targeting, and ROI Modeling
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 25, 2019 · Operations

Boosting Guaranteed Display Ads with Large‑Scale Personalized Allocation and Real‑Time Pacing

This article presents a large‑scale distributed algorithm for guaranteed‑delivery advertising that incorporates user‑level personalization, solves a bipartite matching problem with complex constraints, and introduces a real‑time pacing module to smooth delivery while maximizing platform revenue and advertiser satisfaction.

Advertisingallocationdistributed optimization
0 likes · 22 min read
Boosting Guaranteed Display Ads with Large‑Scale Personalized Allocation and Real‑Time Pacing
Meituan Technology Team
Meituan Technology Team
Nov 28, 2019 · Backend Development

Wedge: Design and Implementation of an Advertising Experiment Configuration Platform

Wedge is a Meituan‑Dianping advertising experiment configuration platform that provides extensible, flow‑based A/B testing with version control, real‑time monitoring, and a user‑friendly UI, enabling algorithm, engineering, and business teams to rapidly iterate, audit, and roll back complex vertical and horizontal experiments.

AB testingAdvertisingBackend
0 likes · 12 min read
Wedge: Design and Implementation of an Advertising Experiment Configuration Platform
JD Retail Technology
JD Retail Technology
Nov 7, 2019 · Industry Insights

How JD’s Advertising Architecture Scaled for 11.11: Lessons in Cost‑Cutting and Performance

The article details how JD’s advertising division tackled the massive traffic surge of the 11.11 shopping festival by expanding shard capacity, optimizing models and data pipelines, migrating workloads to the cloud, and implementing cost‑saving measures that together ensured stable, high‑performance ad delivery.

AdvertisingBig DataPerformance Optimization
0 likes · 7 min read
How JD’s Advertising Architecture Scaled for 11.11: Lessons in Cost‑Cutting and Performance
Hulu Beijing
Hulu Beijing
Oct 28, 2019 · Big Data

How Hulu Uses Big Data to Power Precise Advertising and Real‑Time Streaming

At a Tsinghua University forum, Hulu presented a comprehensive overview of its big‑data solutions for advertising and streaming, covering challenges of massive, complex data, the limits of MySQL, and advanced techniques using HBase, Protobuf, Redis batch pipelines, and its own MPP engine Nesto for high‑performance, scalable analytics.

AdvertisingHBaseMPP
0 likes · 6 min read
How Hulu Uses Big Data to Power Precise Advertising and Real‑Time Streaming
DataFunTalk
DataFunTalk
Oct 24, 2019 · Artificial Intelligence

Evolution and Engineering Practices of the 360 Display Advertising Recall System

This article details the 360 display advertising system's architecture and the progressive evolution of its recall module, covering business overview, overall pipeline, various recall strategies—including Boolean, vectorized, and deep‑tree approaches—and the performance optimizations applied to meet real‑time constraints.

AdvertisingDeep Learningrecall system
0 likes · 14 min read
Evolution and Engineering Practices of the 360 Display Advertising Recall System
Tencent Advertising Technology
Tencent Advertising Technology
Oct 17, 2019 · Artificial Intelligence

Visual Algorithm Applications in Advertising Scenarios

The talk outlines how Tencent Advertising leverages deep‑learning visual algorithms—including GCN‑based edge refinement, template generation, AutoML‑driven smart review, and a dual‑tower click‑through‑rate model—to automate creative production, improve ad quality, and enhance user experience across creation, review, and playback stages.

AIAdvertisingAutoML
0 likes · 7 min read
Visual Algorithm Applications in Advertising Scenarios
DataFunTalk
DataFunTalk
Oct 17, 2019 · Artificial Intelligence

iQIYI Effect Advertising: Architecture, Click & Conversion Rate Estimation, and Intelligent Bidding

This article presents iQIYI's effect advertising system, detailing its dual‑engine resource slots, oCPX billing model, algorithmic challenges of high‑dimensional sparse conversion data, the personalized recommendation pipeline, feature engineering across real‑time, short‑term and long‑term signals, and the intelligent bidding mechanism that balances cost control with traffic quality.

Advertisingclick-through rateconversion optimization
0 likes · 9 min read
iQIYI Effect Advertising: Architecture, Click & Conversion Rate Estimation, and Intelligent Bidding
转转QA
转转QA
Sep 25, 2019 · Operations

Comprehensive Testing Strategies for Advertising Recall Systems

The article outlines a complete testing framework for advertising recall services, analyzing three demand types, defining testing focus for each, and presenting tools for log comparison, recall result verification, result comparison, and batch regression to ensure high‑quality ad delivery and revenue stability.

AdvertisingBackendOperations
0 likes · 8 min read
Comprehensive Testing Strategies for Advertising Recall Systems
dbaplus Community
dbaplus Community
Sep 24, 2019 · Big Data

How Weibo Turns Big Data into Revenue: Insights from a 2019 DAMS Talk

The presentation explains how Weibo leverages big‑data technologies, user profiling, and social‑first advertising models to drive commercial growth, detailing data‑driven product development, real‑time and offline data warehouses, scientific experiments, and case studies that illustrate the impact on revenue and user engagement.

AdvertisingBig DataData Warehouse
0 likes · 24 min read
How Weibo Turns Big Data into Revenue: Insights from a 2019 DAMS Talk
DataFunTalk
DataFunTalk
Sep 16, 2019 · Artificial Intelligence

Evolution of Weibo Advertising Strategy Engineering Architecture

This article presents a comprehensive overview of the evolution of Weibo's advertising strategy engineering architecture, detailing the system's growth from early banner ads to a sophisticated, multi‑layered online advertising platform that integrates algorithmic models, A/B experimentation, real‑time data pipelines, and precision targeting to support scalable, high‑performance ad delivery.

A/B testingAdvertisingSystem Architecture
0 likes · 19 min read
Evolution of Weibo Advertising Strategy Engineering Architecture
DataFunTalk
DataFunTalk
Aug 19, 2019 · Artificial Intelligence

Algorithmic Practices in Hulu's Video Advertising System

This article details how Hulu leverages machine learning and AI techniques—including ad targeting, inventory prediction, conversion rate optimization, causal inference, and real‑time bidding—to improve ad efficiency, user experience, and revenue across its video streaming platform.

AIAd TargetingAdvertising
0 likes · 15 min read
Algorithmic Practices in Hulu's Video Advertising System
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 16, 2019 · Industry Insights

How Interactive Video Ads Are Redefining Brand Engagement – Insights from iQIYI’s White Paper

iQIYI’s newly released interactive video advertising white paper outlines the market background, classification, creation techniques, and performance metrics of interactive video ads, showcasing how immersive two‑way ad experiences can boost brand communication and set new industry standards.

AdvertisingInteractive VideoiQIYI
0 likes · 5 min read
How Interactive Video Ads Are Redefining Brand Engagement – Insights from iQIYI’s White Paper
Tencent Advertising Technology
Tencent Advertising Technology
Jun 13, 2019 · Artificial Intelligence

Competition Solution Overview: Data Analysis, Rule‑Based and Neural Network Models for Advertising Prediction

The article details a contestant's end‑to‑end approach for an advertising competition, covering data analysis, rule‑based preprocessing, a three‑layer neural network architecture, model‑rule ensemble weighting, self‑correction strategies for the B phase, and final model‑only solutions that achieved top scores.

AdvertisingNeural Networkcompetition
0 likes · 8 min read
Competition Solution Overview: Data Analysis, Rule‑Based and Neural Network Models for Advertising Prediction
Tencent Advertising Technology
Tencent Advertising Technology
May 8, 2019 · Artificial Intelligence

Experience Sharing of the 2019 Tencent Advertising Algorithm Competition – Week 1 Champion’s Insights

The week‑1 champion of the 2019 Tencent Advertising Algorithm Competition shares practical experience on data cleaning, feature engineering, model selection (including LightGBM and deep learning), validation strategies, and tips for handling massive ad exposure logs to achieve high SMAPE and monotonicity scores.

AdvertisingLightGBMalgorithm competition
0 likes · 6 min read
Experience Sharing of the 2019 Tencent Advertising Algorithm Competition – Week 1 Champion’s Insights
Hulu Beijing
Hulu Beijing
Apr 11, 2019 · Artificial Intelligence

Optimizing Real-Time Ad Bidding with Reinforcement Learning: A Deep Dive

This article explains how real‑time bidding works in computational advertising, defines the budget‑constrained bidding problem, models it with reinforcement learning, and presents a deep‑network implementation together with visual analysis and key references.

AdvertisingDeep Learningbudget optimization
0 likes · 6 min read
Optimizing Real-Time Ad Bidding with Reinforcement Learning: A Deep Dive
HomeTech
HomeTech
Jan 29, 2019 · Backend Development

Design and Implementation of the PCMA Advertising Validation Automation Platform

This article describes the business background, requirements, multi‑layer architecture, implementation details, usage workflow, encountered issues, and future plans of PCMA, a platform that automates the validation of advertising placements across PC, mobile web, and app environments.

AdvertisingBackendWeb
0 likes · 7 min read
Design and Implementation of the PCMA Advertising Validation Automation Platform
DataFunTalk
DataFunTalk
Jan 28, 2019 · Artificial Intelligence

Deep Interest Evolution Network (DIEN): Modeling User Interest Evolution for Click‑Through Rate Prediction

This article introduces the Deep Interest Evolution Network (DIEN), an advanced deep learning model that extracts and evolves user interests over time to improve click‑through rate prediction for display advertising, detailing its background, architecture, auxiliary loss, attention‑augmented GRU, and both offline and online performance gains.

AdvertisingDIENRecommendation Systems
0 likes · 15 min read
Deep Interest Evolution Network (DIEN): Modeling User Interest Evolution for Click‑Through Rate Prediction