| 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 | 834 | 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 Proceedings of the AAAI conference on artificial intelligence 33 (01), 5941-5948, 2019 | 405 | 2019 |
| Entire space multi-task model: An effective approach for estimating post-click conversion rate X Ma, L Zhao, G Huang, Z Wang, Z Hu, X Zhu, K Gai The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 109 | 2018 |
| Practice on long sequential user behavior modeling for click-through rate prediction Q Pi, W Bian, G Zhou, X Zhu, K Gai Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 94 | 2019 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 75 | 2018 |
| 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, ... Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 55 | 2019 |
| Learning piece-wise linear models from large scale data for ad click prediction K Gai, X Zhu, H Li, K Liu, Z Wang arXiv preprint arXiv:1704.05194, 2017 | 50 | 2017 |
| Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction Q Pi, G Zhou, Y Zhang, Z Wang, L Ren, Y Fan, X Zhu, K Gai Proceedings of the 29th ACM International Conference on Information …, 2020 | 39 | 2020 |
| Image matters: Visually modeling user behaviors using advanced model server T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 26 | 2018 |
| 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, ... Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 23 | 2019 |
| One model to serve all: Star topology adaptive recommender for multi-domain ctr prediction XR Sheng, L Zhao, G Zhou, X Ding, B Dai, Q Luo, S Yang, J Lv, C Zhang, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| Learning similarity metric with SVM X Zhu, P Gong, Z Zhao, C Zhang The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 14 | 2012 |
| Cold: Towards the next generation of pre-ranking system Z Wang, L Zhao, B Jiang, G Zhou, X Zhu, K Gai arXiv preprint arXiv:2007.16122, 2020 | 12 | 2020 |
| Neural auction: End-to-end learning of auction mechanisms for e-commerce advertising X Liu, C Yu, Z Zhang, Z Zheng, Y Rong, H Lv, D Huo, Y Wang, D Chen, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 11 | 2021 |
| A deep recurrent survival model for unbiased ranking J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 11 | 2020 |
| CAN: revisiting feature co-action for click-through rate prediction G Zhou, W Bian, K Wu, L Ren, Q Pi, Y Zhang, C Xiao, XR Sheng, N Mou, ... arXiv preprint arXiv:2011.05625, 2020 | 8 | 2020 |
| Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning C Du, Z Gao, S Yuan, L Gao, Z Li, Y Zeng, X Zhu, J Xu, K Gai, KC Lee Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 7 | 2021 |
| Res-embedding for deep learning based click-through rate prediction modeling G Zhou, K Wu, W Bian, X Zhu, K Gai Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 6 | 2019 |
| Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling S Gu, XR Sheng, Y Fan, G Zhou, X Zhu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 5 | 2021 |
| AMAD: adversarial multiscale anomaly detection on high-dimensional and time-evolving categorical data Z Gao, L Guo, C Ma, X Ma, K Sun, H Xiang, X Zhu, H Li, X Liu Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 3 | 2019 |
