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Bo Chen
Bo Chen
Noah's Ark Lab, Huawei; SJTU
在 sjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
X Xin*, B Chen*, X He, D Wang, Y Ding, JM Jose
IJCAI 19, 3926-3932, 2019
1052019
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
69*2021
TGCN: Tag graph convolutional network for tag-aware recommendation
B Chen, W Guo, R Tang, X Xin, Y Ding, X He, D Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
302020
Enhancing explicit and implicit feature interactions via information sharing for parallel deep CTR models
B Chen, Y Wang, Z Liu, R Tang, W Guo, H Zheng, W Yao, M Zhang, X He
Proceedings of the 30th ACM international conference on information …, 2021
262021
Miss: Multi-interest self-supervised learning framework for click-through rate prediction
W Guo, C Zhang, Z He, J Qin, H Guo, B Chen, R Tang, X He, R Zhang
2022 IEEE 38th international conference on data engineering (ICDE), 727-740, 2022
182022
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
Y Xi, W Liu, J Lin, J Zhu, B Chen, R Tang, W Zhang, R Zhang, Y Yu
arXiv preprint arXiv:2306.10933, 2023
142023
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows
J Qin, J Zhu, B Chen, Z Liu, W Liu, R Tang, R Zhang, Y Yu, W Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
142022
AIRec: Attentive intersection model for tag-aware recommendation
B Chen, Y Ding, X Xin, Y Li, Y Wang, D Wang
Neurocomputing 421, 105-114, 2021
142021
SGRS: A sequential gesture recognition system using COTS RFID
B Chen, Q Zhang, R Zhao, D Li, D Wang
2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018
142018
Causalint: Causal inspired intervention for multi-scenario recommendation
Y Wang, H Guo, B Chen, W Liu, Z Liu, Q Zhang, Z He, H Zheng, W Yao, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
132022
Aim: automatic interaction machine for click-through rate prediction
C Zhu, B Chen, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu
IEEE Transactions on Knowledge and Data Engineering, 2021
132021
RFree-ID: An unobtrusive human identification system irrespective of walking cofactors using cots RFID
Q Zhang, D Li, R Zhao, D Wang, Y Deng, B Chen
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
132018
Multi-Task Deep Recommender Systems: A Survey
Y Wang, HT Lam, Y Wong, Z Liu, X Zhao, Y Wang, B Chen, H Guo, ...
arXiv preprint arXiv:2302.03525, 2023
92023
How Can Recommender Systems Benefit from Large Language Models: A Survey
J Lin, X Dai, Y Xi, W Liu, B Chen, X Li, C Zhu, H Guo, Y Yu, R Tang, ...
arXiv preprint arXiv:2306.05817, 2023
82023
Extracting attentive social temporal excitation for sequential recommendation
Y Li, Y Ding, B Chen, X Xin, Y Wang, Y Shi, R Tang, D Wang
arXiv preprint arXiv:2109.13539, 2021
72021
Compressed Interaction Graph based Framework for Multi-behavior Recommendation
W Guo, C Meng, E Yuan, Z He, H Guo, Y Zhang, B Chen, Y Hu, R Tang, ...
arXiv preprint arXiv:2303.02418, 2023
62023
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System
X Li*, B Chen*, HF Guo, J Li, C Zhu, X Long, S Li, Y Wang, W Guo, L Mao, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
62022
CTRL: Connect Tabular and Language Model for CTR Prediction
X Li*, B Chen*, L Hou, R Tang
arXiv preprint arXiv:2306.02841, 2023
52023
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
H Zhang, E Yuan, W Guo, Z He, J Qin, H Guo, B Chen, X Li, R Tang
Proceedings of the 31st ACM International Conference on Information …, 2022
52022
Single-shot Feature Selection for Multi-task Recommendations
Y Wang, Z Du, X Zhao, B Chen, H Guo, R Tang, Z Dong
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
42023
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