ad fraud detection — 3 Technical Articles

May 22, 2025 · Industry Insights

Cracking Hidden Ad Fraud: JD’s AI‑Driven Anti‑Cheat System Explained

This article recounts the journey of a JD PhD trainee who transformed academic research on anomaly detection into a production‑grade, LLM‑enhanced anti‑fraud system that identifies concealed address codes in CPS ads, detailing model design, LoRA fine‑tuning, reinforcement learning, distillation, cost‑aware deployment, and lessons learned for scalable ad risk management.

ad fraud detectionindustry AIlarge language model

0 likes · 12 min read

Cracking Hidden Ad Fraud: JD’s AI‑Driven Anti‑Cheat System Explained

Alimama Tech

Jul 21, 2021 · Artificial Intelligence

Ad Fraud Detection and Risk Control Practices at Alibaba Mama

Alibaba Mama combats the roughly 8.6 % abnormal traffic in China’s online ad market by distinguishing low‑quality from cheating clicks, employing a proactive perception layer, high‑dimensional visual analytics, and a dual‑stage real‑time and batch filtering system that also freezes fraudulent affiliate commissions and is continuously evaluated with precision‑recall and AUC metrics.

AlibabaAnomaly Detectionad fraud detection

0 likes · 15 min read

Ad Fraud Detection and Risk Control Practices at Alibaba Mama

Baobao Algorithm Notes

May 8, 2018 · Industry Insights

Cracking the TalkingData Ad Fraud Kaggle Challenge: Tips, Pitfalls & CV Strategies

This article details a data‑science team’s end‑to‑end approach to the TalkingData ad‑fraud Kaggle competition, covering dataset quirks, performance‑critical optimizations, a multi‑stage cross‑validation workflow, feature‑engineering tactics, model experiments with LightGBM and neural nets, and key lessons learned.

Cross ValidationKaggleLightGBM

0 likes · 11 min read

Cracking the TalkingData Ad Fraud Kaggle Challenge: Tips, Pitfalls & CV Strategies