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Long sequence modeling

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DataFunTalk
DataFunTalk
Oct 24, 2022 · Artificial Intelligence

Efficient Target Attention (ETA) for Long-Term User Behavior Modeling in Click‑Through Rate Prediction

Efficient Target Attention (ETA) introduces a low‑cost hash‑based attention operator that enables end‑to‑end modeling of ultra‑long user behavior sequences for CTR prediction, achieving significant online CTR, GMV, and QPS improvements in Alibaba’s Taobao feed recommendation system.

CTR predictionLong sequence modelingRecommendation systems
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Efficient Target Attention (ETA) for Long-Term User Behavior Modeling in Click‑Through Rate Prediction