research
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07/26/2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Click-through rate (CTR) estimation is a fundamental task in personalize...
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research
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07/26/2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Click-through rate (CTR) prediction plays important role in personalized...
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02/09/2021
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Click-Through Rate(CTR) estimation has become one of the most fundamenta...
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09/13/2020
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
As a pre-trained Transformer model, BERT (Bidirectional Encoder Represen...
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07/06/2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Advertising and feed ranking are essential to many Internet companies su...
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06/23/2020