19 citations · 59 across the 6 of their papers we have counts for
3 papers · 1 filter
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Zhiqiang Wang, Qingyun She, PengTao Zhang +1
Click-through rate (CTR) estimation is a fundamental task in personalized advertising and recommender systems and it's important for ranking models to effectively capture complex h…
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Qingyun She, Zhiqiang Wang, Junlin Zhang
Click-through rate (CTR) prediction plays important role in personalized advertising and recommender systems. Though many models have been proposed such as FM, FFM and DeepFM in re…
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Zhiqiang Wang, Qingyun She, Junlin Zhang
Click-Through Rate(CTR) estimation has become one of the most fundamental tasks in many real-world applications and it's important for ranking models to effectively capture complex…