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Found 2 papers, 2 papers with code
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Some recent knowledge distillation based methods transfer knowledge from complex teacher models to shallow student models for accelerating the online model inference.
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction
Specifically, we employ a shared predictor to infer basis user preferences, which acquires global preference knowledge from the interactions of different users.
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