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Advertising Optimization

8 articles · Page 1 of 1
Meituan Technology Team
Meituan Technology Team
Aug 13, 2026 · Artificial Intelligence

Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track

This article presents eight Meituan research papers accepted at KDD 2026—covering recommendation foundation models, contrast‑driven reward modeling, agentic search benchmarks, deterministic ad allocation, cross‑domain ETA meta‑generalization, generative ad‑bidding, hierarchical multi‑slot allocation, and distributed generative recommendation training—along with a detailed walkthrough of the team’s winning approach in the KDD Cup 2026 DataAgents competition.

Advertising OptimizationData AgentsKDD 2026
0 likes · 14 min read
Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track
Alimama Tech
Alimama Tech
Nov 11, 2025 · Artificial Intelligence

Industrial-Scale Graph Learning: Boosting Ad ROI and Winning Beijing’s Science Award

The award‑winning industrial graph learning system developed by Peking University and Alibaba Mama combines novel dynamic graph embedding and GNN techniques, scales to millions of merchants, and has driven over 12% ad ROI improvement while publishing dozens of top‑conference papers.

AI researchAdvertising OptimizationGraph Neural Networks
0 likes · 6 min read
Industrial-Scale Graph Learning: Boosting Ad ROI and Winning Beijing’s Science Award
DataFunTalk
DataFunTalk
Oct 5, 2025 · Artificial Intelligence

How Kuaishou Leverages Large‑Model AI to Boost Advertising Performance

This article outlines Kuaishou's two‑year exploration of multimodal large‑model techniques in advertising, detailing the challenges of content‑domain ad estimation, the COPE unified product representation framework, and the LEARN LLM knowledge‑transfer approach that together improve user interest modeling and business ROI.

Advertising OptimizationLLM knowledge transferLarge Model AI
0 likes · 6 min read
How Kuaishou Leverages Large‑Model AI to Boost Advertising Performance
DataFunTalk
DataFunTalk
Oct 31, 2023 · Artificial Intelligence

Intelligent Growth Algorithms and Applications in the Smartphone Industry – OPPO Andes Smart Cloud

This article presents OPPO Andes Smart Cloud's intelligent growth algorithm framework for the smartphone sector, detailing industry background, data and model architecture, four real-world application cases—including AIGC content generation, multimodal recommendation, causal inference, and precise advertising—and summarizing key insights from a technical Q&A session.

AIGCAdvertising OptimizationCausal Inference
0 likes · 22 min read
Intelligent Growth Algorithms and Applications in the Smartphone Industry – OPPO Andes Smart Cloud
Xiaohongshu Tech REDtech
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.

Advertising OptimizationOnline Advertisingalgorithmic strategy
0 likes · 12 min read
Modeling and Optimizing Real‑Time Bidding for Xiaohongshu "Fries" Advertising
JD Tech Talk
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.

Advertising OptimizationFinancial TechnologyUser Segmentation
0 likes · 10 min read
Real-Time Bidding Advertising in the Financial Sector: Strategies, User Segmentation, and Optimization
Xianyu Technology
Xianyu Technology
Dec 27, 2018 · Big Data

Device Fingerprinting and User Growth Architecture in Alibaba's Xianyu Platform

Alibaba’s Xianyu platform uses a multi‑signal device fingerprinting system, UMID, to uniquely identify users across Android and iOS devices, storing the data in sharded MySQL, HiStore OLAP, and Tair caches, enabling precise ad bidding, conversion tracking, and scalable user‑growth strategies.

Advertising Optimizationbig datadevice fingerprinting
0 likes · 9 min read
Device Fingerprinting and User Growth Architecture in Alibaba's Xianyu Platform