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DataFunSummit
DataFunSummit
Feb 27, 2026 · Artificial Intelligence

How Large Language Models Are Revolutionizing Ad Recommendation and Solving Cold‑Start Problems

This article explains how advertising recommendation is evolving from traditional feature‑engineered models to LLM‑driven pipelines, detailing data‑infrastructure challenges, semantic upgrades with multimodal embeddings, case studies in short‑video ads, user cold‑start prompt engineering, and future directions for generative recommendation systems.

Ad TechLLMRecommendation Systems
0 likes · 12 min read
How Large Language Models Are Revolutionizing Ad Recommendation and Solving Cold‑Start Problems
DataFunTalk
DataFunTalk
Jun 27, 2025 · Artificial Intelligence

How Generative AI is Revolutionizing Ad Recommendation Systems

Join Baidu senior algorithm engineer Ji Zhi at the DataFun Summit 2025 to explore how generative AI transforms ad recommendation recall, covering item representation, evolving solution architectures, long‑sequence challenges, and practical insights for building efficient large‑model recommendation systems.

AI researchAd TechBaidu
0 likes · 3 min read
How Generative AI is Revolutionizing Ad Recommendation Systems
Alimama Tech
Alimama Tech
Aug 30, 2024 · Operations

How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation

This article presents a bi‑objective inventory allocation model for guaranteed‑delivery advertising that simultaneously maximizes impressions for new orders and balances supply distribution, and introduces a fast alternating local‑search algorithm (BOLS) that outperforms popular multi‑objective evolutionary algorithms and the commercial solver Gurobi in extensive experiments.

Ad TechOperations Researchbi-objective optimization
0 likes · 21 min read
How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 20, 2023 · Artificial Intelligence

Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding

The article traces the evolution of effectiveness‑advertising bidding—from simple single‑goal bids to weighted, Pareto‑optimal, and finally adaptive dual‑bidding models that integrate deep‑conversion estimators and a non‑linear control function, enabling platforms to balance shallow cost compliance with deep‑level outcomes such as retention and ROI.

Ad TechAdvertisingbidding
0 likes · 11 min read
Evolution of Effectiveness Advertising Bidding Strategies: From Single to Adaptive Dual Bidding
DataFunSummit
DataFunSummit
Mar 30, 2023 · Artificial Intelligence

MindAlpha: A High‑Performance Distributed Machine Learning Platform for Advertising

The article introduces MindAlpha, a high‑performance distributed machine‑learning platform built for large‑scale, sparse ad‑tech workloads, detailing its architecture, MLOps pipeline, Spark integration, sync/async training strategies, CPU/GPU choices, model‑splitting techniques, and future directions such as model pruning and AutoML.

AIAd TechMLOps
0 likes · 10 min read
MindAlpha: A High‑Performance Distributed Machine Learning Platform for Advertising
DataFunSummit
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.

Ad TechPID controlbid optimization
0 likes · 31 min read
Understanding oCPX: Intelligent Bidding, Calibration, and the Future of Computational Advertising
Alimama Tech
Alimama Tech
Jan 19, 2022 · Artificial Intelligence

Advances in Alibaba Search Advertising Estimation: Model Deepening, Interaction, and System Efficiency (2021 Review)

The 2021 review of Alibaba’s Mama Search Advertising estimation platform details advances in model deepening—such as hash‑based embedding compression, adaptive dynamic parameters and graph neural networks—model interaction via a multi‑stage cascade with ranking distillation and oracle bias, and system efficiency gains from HPC training, mixed‑precision, multi‑hash embeddings, and fp16 quantization that deliver roughly a thirty‑fold speed‑up.

Ad TechCTRCVR
0 likes · 34 min read
Advances in Alibaba Search Advertising Estimation: Model Deepening, Interaction, and System Efficiency (2021 Review)
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
dbaplus Community
dbaplus Community
Jan 9, 2021 · Backend Development

How We Refactored a 30k‑Line Ad Engine in One Month: Key Lessons

In this detailed case study, a team describes how they successfully refactored a 30,000‑line advertising engine within a month, covering the system's legacy challenges, preparation steps, execution tactics, testing strategies, and the seven critical takeaways that ensured a smooth, low‑risk rollout.

Ad TechBackendProject Management
0 likes · 11 min read
How We Refactored a 30k‑Line Ad Engine in One Month: Key Lessons
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
Bitu Technology
Bitu Technology
Nov 27, 2020 · Backend Development

Steps 4–9 of Tubi's Advertising Pipeline: Pacing, Bid Collection, Video Transcoding, Bidding, Rendering, and Integration

The article details Tubi's ad‑serving pipeline from pacing control through bid collection, video transcoding, CPU‑intensive bidding optimization, result rendering, and final integration, highlighting the use of Akka, Spark, CRDTs, and gRPC in a distributed backend architecture.

Ad TechDistributed SystemsVideo Transcoding
0 likes · 7 min read
Steps 4–9 of Tubi's Advertising Pipeline: Pacing, Bid Collection, Video Transcoding, Bidding, Rendering, and Integration
DataFunTalk
DataFunTalk
Oct 30, 2020 · Artificial Intelligence

Evolution of Display Advertising Effect Optimization at 360: System Architecture, Smart Bidding, and Model Advances

This article details the end‑to‑end evolution of 360's display advertising optimization, covering business flow, common ad formats, system architecture, CPC settings, traffic layering, smart bidding, creative combination, model progression from simple to deep learning, multi‑task learning, and latency reduction techniques.

Ad TechOCPCdisplay advertising
0 likes · 13 min read
Evolution of Display Advertising Effect Optimization at 360: System Architecture, Smart Bidding, and Model Advances
DataFunTalk
DataFunTalk
Sep 21, 2020 · Artificial Intelligence

Data‑Driven Synonym Transformation for Keyword Matching in Search Advertising

This article explains how keyword matching in search advertising works, outlines the challenges of semantic gaps, matching‑mode determination and scalability, and describes data‑driven synonym transformation techniques—including rule‑based, sequence‑to‑sequence, metric‑space and graph‑based models—to improve recall, efficiency, and robustness.

Ad Techkeyword matchingmachine learning
0 likes · 18 min read
Data‑Driven Synonym Transformation for Keyword Matching in Search Advertising
DataFunTalk
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 TechDigital Marketingauction theory
0 likes · 11 min read
Why Advertising Needs Computation: Fundamentals of Digital Ad Auctions and eCPM
58 Tech
58 Tech
Jul 8, 2020 · Artificial Intelligence

Budget Pacing Techniques and Their Application in 58.com Advertising Platform

This article introduces mainstream budget‑pacing methods for cost‑per‑click online ads, describes the 58.com business scenarios, details the pacing algorithm—including bid modification, probabilistic throttling, and reinforcement‑learning approaches—explains system design with PID control, and presents online experimental results and future directions.

Ad TechPID controlbudget allocation
0 likes · 14 min read
Budget Pacing Techniques and Their Application in 58.com Advertising Platform
DataFunTalk
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
21CTO
21CTO
Jul 6, 2019 · Mobile Development

How Zhihu Accelerated Mobile Ad Updates with the Morph DSL Native+ Solution

Zhihu’s Morph dynamic solution, built on a Flexbox‑based DSL and JSON, enabled rapid, cross‑platform updates of mobile ad cards, dramatically reducing rollout time from eight days to one and supporting over 70 styles with minimal impact on app size and performance.

Ad TechDSLDynamic UI
0 likes · 20 min read
How Zhihu Accelerated Mobile Ad Updates with the Morph DSL Native+ Solution
Hulu Beijing
Hulu Beijing
Dec 27, 2016 · Artificial Intelligence

Inside Hulu’s AI Research: Personalization, Data Science & Video Innovation

The article announces a PhD workshop, outlines Hulu’s research center and its six AI‑focused teams—personalization, data science, video codec, content understanding, intelligent search, and ad intelligence—while highlighting key projects and inviting PhD candidates to apply.

AIAd TechData Science
0 likes · 7 min read
Inside Hulu’s AI Research: Personalization, Data Science & Video Innovation
Architect
Architect
Dec 30, 2015 · Backend Development

Snapdeal Ads System Architecture: Scaling to 5 Billion Daily Requests

The article details how Snapdeal built a high‑performance, low‑latency ad‑serving platform that handles billions of daily requests by employing horizontal and vertical scaling, AP‑focused CAP choices, in‑memory data structures, and a suite of open‑source backend technologies.

Ad TechBackendDistributed Systems
0 likes · 6 min read
Snapdeal Ads System Architecture: Scaling to 5 Billion Daily Requests
High Availability Architecture
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.

Ad TechDSPanti-fraud
0 likes · 24 min read
DSP Advertising System Architecture and Key Technologies