Bo Chen
Bo Chen
Noah's Ark Lab, Huawei; SJTU
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
J Lin, R Shan, C Zhu, K Du, B Chen, S Quan, R Tang, Y Yu, W Zhang
arXiv preprint arXiv:2308.11131, 2023
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
CTRL: Connect Tabular and Language Model for CTR Prediction
X Li*, B Chen*, L Hou, R Tang
arXiv preprint arXiv:2306.02841, 2023
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
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
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 35 (4), 3389-3403, 2021
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
Automated machine learning for deep recommender systems: A survey
B Chen, X Zhao, Y Wang, W Fan, H Guo, R Tang
arXiv preprint arXiv:2204.01390, 2022
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations
Y Wang, X Zhao, B Chen, Q Liu, H Guo, H Liu, Y Wang, R Zhang, R Tang
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
Neural re-ranking in multi-stage recommender systems: A review
W Liu, Y Xi, J Qin, F Sun, B Chen, W Zhang, R Zhang, R Tang
arXiv preprint arXiv:2202.06602, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20