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 predictionGraph Neural NetworksLarge-scale ML
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