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Alimama Tech
Alimama Tech
Jun 2, 2021 · Artificial Intelligence

Model Compression and Feature Optimization for Large-Scale CTR Prediction in Advertising

Alibaba‑Mama’s advertising team shrank multi‑terabyte CTR models to just tens of gigabytes by applying row‑dimension embedding compression, multi‑hash embeddings, graph‑based relationship networks, PCF‑GNN pre‑training, and droprank feature selection, preserving accuracy while halving training time, doubling online QPS, and retiring hundreds of servers.

CTR predictionLarge-scale MLadvertising
0 likes · 14 min read
Model Compression and Feature Optimization for Large-Scale CTR Prediction in Advertising
DataFunTalk
DataFunTalk
Oct 26, 2018 · Artificial Intelligence

Large‑Scale Machine Learning and AutoML Techniques for Search Advertising CTR Prediction

The article explains how large‑scale machine learning and AutoML are applied to search advertising click‑through‑rate (CTR) prediction, covering problem definition, feature generation, model training, optimization methods, distributed systems, and recent advances in AutoML with practical case studies.

AutoMLCTR predictionLarge-scale ML
0 likes · 15 min read
Large‑Scale Machine Learning and AutoML Techniques for Search Advertising CTR Prediction