research
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10/25/2022
MemoNet:Memorizing Representations of All Cross Features Efficiently via Multi-Hash Codebook Network for CTR Prediction
New findings in natural language processing(NLP) demonstrate that the st...
research
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09/12/2022
FiBiNet++:Improving FiBiNet by Greatly Reducing Model Size for CTR Prediction
Click-Through Rate(CTR) estimation has become one of the most fundamenta...
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...
research
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06/23/2020