팔로우
Huifeng Guo
Huifeng Guo
Huawei, Harbin Institute of Technology
huawei.com의 이메일 확인됨
제목
인용
인용
연도
Deepfm: A factorization-machine based neural network for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He
IJCAI (The most cited paper of IJCAI in the past 5 years), 1725-1731, 2017
19682017
Product-based neural networks for user response prediction over multi-field categorical data
Y Qu, B Fang, W Zhang, R Tang, M Niu, H Guo, Y Yu, X He
ACM Transactions on Information Systems (TOIS) 37 (1), 1-35, 2018
1712018
Feature generation by convolutional neural network for click-through rate prediction
B Liu, R Tang, Y Chen, J Yu, H Guo, Y Zhang
The World Wide Web Conference, 1119-1129, 2019
1222019
Deep reinforcement learning based recommendation with explicit user-item interactions modeling
F Liu, R Tang, X Li, W Zhang, Y Ye, H Chen, H Guo, Y Zhang
arXiv preprint arXiv:1810.12027, 2018
1022018
Neighbor interaction aware graph convolution networks for recommendation
J Sun, Y Zhang, W Guo, H Guo, R Tang, X He, C Ma, M Coates
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
992020
Multi-graph convolution collaborative filtering
J Sun, Y Zhang, C Ma, M Coates, H Guo, R Tang, X He
2019 IEEE international conference on data mining (ICDM), 1306-1311, 2019
782019
DSKmeans: a new kmeans-type approach to discriminative subspace clustering
X Huang, Y Ye, H Guo, Y Cai, H Zhang, Y Li
Knowledge-Based Systems 70, 293-300, 2014
652014
Deepfm: An end-to-end wide & deep learning framework for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He, Z Dong
arXiv preprint arXiv:1804.04950, 2018
622018
A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks
J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
612020
An embedding learning framework for numerical features in ctr prediction
H Guo, B Chen, R Tang, W Zhang, Z Li, X He
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
48*2021
PAL: a position-bias aware learning framework for CTR prediction in live recommender systems
H Guo, J Yu, Q Liu, R Tang, Y Zhang
Proceedings of the 13th ACM Conference on Recommender Systems, 452-456, 2019
472019
Graphsail: Graph structure aware incremental learning for recommender systems
Y Xu, Y Zhang, W Guo, H Guo, R Tang, M Coates
Proceedings of the 29th ACM International Conference on Information …, 2020
402020
Dual graph enhanced embedding neural network for CTR prediction
W Guo, R Su, R Tan, H Guo, Y Zhang, Z Liu, R Tang, X He
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
382021
End-to-end deep reinforcement learning based recommendation with supervised embedding
F Liu, H Guo, X Li, R Tang, Y Ye, X He
Proceedings of the 13th International Conference on Web Search and Data …, 2020
372020
AutoGroup: Automatic feature grouping for modelling explicit high-order feature interactions in CTR prediction
B Liu, N Xue, H Guo, R Tang, S Zafeiriou, X He, Z Li
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
352020
State representation modeling for deep reinforcement learning based recommendation
F Liu, R Tang, X Li, W Zhang, Y Ye, H Chen, H Guo, Y Zhang, X He
Knowledge-Based Systems 205, 106170, 2020
342020
Field-aware probabilistic embedding neural network for CTR prediction
W Liu, R Tang, J Li, J Yu, H Guo, X He, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 412-416, 2018
212018
A practical incremental method to train deep ctr models
Y Wang, H Guo, R Tang, Z Liu, X He
arXiv preprint arXiv:2009.02147, 2020
172020
Scalefreectr: Mixcache-based distributed training system for ctr models with huge embedding table
H Guo, W Guo, Y Gao, R Tang, X He, W Liu
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
162021
Top-aware reinforcement learning based recommendation
F Liu, R Tang, H Guo, X Li, Y Ye, X He
Neurocomputing 417, 255-269, 2020
162020
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20