22 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 6 cited
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
Xin Chen, Qingtao Tang, Ke Hu +4
User historical behaviors are proved useful for Click Through Rate (CTR) prediction in online advertising system. In Meituan, one of the largest e-commerce platform in China, an it…
cs.IR2022★ 3 cited
Continual Learning for CTR Prediction: A Hybrid Approach
Ke Hu, Yi Qi, Jianqiang Huang +2
Click-through rate(CTR) prediction is a core task in cost-per-click(CPC) advertising systems and has been studied extensively by machine learning practitioners. While many existing…
cs.IR2021★ 22 cited
Deep Position-wise Interaction Network for CTR Prediction
Jianqiang Huang, Ke Hu, Qingtao Tang +4
Click-through rate (CTR) prediction plays an important role in online advertising and recommender systems. In practice, the training of CTR models depends on click data which is in…