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sparse transfer

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Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
Nov 21, 2025 · Artificial Intelligence

Can Recommendation Ranking Models Follow the LLM Scaling Law? Introducing GPSD for Scalable Transformers

The paper analyzes why enlarging discriminative recommendation models leads to severe over‑fitting, proposes a two‑stage Generative Pretraining for Scalable Discriminative Recommendation (GPSD) that freezes sparse embeddings, and demonstrates across massive e‑commerce data, public benchmarks, and production A/B tests that the approach restores the classic scaling‑law behavior where larger models consistently improve performance.

generative pretrainingonline A/B testrecommendation
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Can Recommendation Ranking Models Follow the LLM Scaling Law? Introducing GPSD for Scalable Transformers