|Deep interest network for click-through rate prediction|
G Zhou, X Zhu, C Song, Y Fan, H Zhu, X Ma, Y Yan, J Jin, H Li, K Gai
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
|Deep Interest Evolution Network for Click-Through Rate Prediction|
G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai
AAAI 2019, 2018
|Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net|
G Zhou, Y Fan, R Cui, W Bian, X Zhu, K Gai
AAAI 2018, 4580, 2018
|Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior|
T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ...
CIKM 2018, 2017
|Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction|
K Ren, J Qin, Y Fang, W Zhang, L Zheng, W Bian, G Zhou, J Xu, Y Yu, ...
SIGIR 2019, 2019
|Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction|
Q Pi, W Bian, G Zhou, X Zhu, K Gai
KDD 2019, 2019
|Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling|
G Zhou, K Wu, W Bian, Z Yang, X Zhu, K Gai
arXiv preprint arXiv:1906.10304, 2019
|XDL: An Industrial Deep Learning Framework for High-dimensional Sparse Data|
B Jiang, C Deng, H Yi, Z Hu, G Zhou, Y Zheng, S Huang, X Guo, D Wang, ...