315 citations · 374 across the 5 of their papers we have counts for
Showing cs.IRShow all
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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…
cs.IR2019★ 315 cited
NPA: Neural News Recommendation with Personalized Attention
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
News recommendation is very important to help users find interested news and alleviate information overload. Different users usually have different interests and the same user may…