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JD Tech
JD Tech
Apr 8, 2025 · Artificial Intelligence

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems

The article presents MaRCA, a multi‑agent reinforcement learning framework that models user value, compute consumption, and action reward to allocate limited computation resources across the entire advertising recommendation pipeline, achieving higher ad revenue while keeping system load stable under fluctuating traffic and diverse request values.

Advertising SystemsLoad-Aware SchedulingMulti-Agent Reinforcement Learning
0 likes · 16 min read
MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems
Baidu Geek Talk
Baidu Geek Talk
Aug 16, 2021 · Artificial Intelligence

End-to-End Consistency Testing Solution for Click-Through Rate Models in Advertising Systems

The article describes Baidu’s end-to-end consistency testing framework for advertising click-through-rate models, which uses a five-stream verification pipeline and six implementation phases to compare Q-values across feature extraction, table conversions, and DNN computation, enabling precise detection and localization of data and model inconsistencies in production.

Advertising SystemsBaiduCTR prediction
0 likes · 17 min read
End-to-End Consistency Testing Solution for Click-Through Rate Models in Advertising Systems
DataFunTalk
DataFunTalk
Aug 10, 2021 · Artificial Intelligence

A Comprehensive Review of Industrial-Scale Deep Learning for Click-Through Rate Prediction in Online Advertising

This article provides an extensive retrospective and forward‑looking analysis of the evolution of click‑through‑rate prediction technologies in online advertising, covering shallow‑learning era challenges, the rise of industrial‑scale deep learning, system‑level innovations such as recall, coarse‑ranking, fine‑ranking, bidding, and the emerging co‑design of algorithms, compute, and architecture.

Advertising SystemsAlgorithmic OptimizationCTR prediction
0 likes · 65 min read
A Comprehensive Review of Industrial-Scale Deep Learning for Click-Through Rate Prediction in Online Advertising