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 | 111 | 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 | 77 | 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 | 50* | 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 | 42 | 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 | 35 | 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 | 32 | 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 | 27 | 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 | 21 | 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 | 20 | 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 | 18* | 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 | 18 | 2022 |
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 | 16 | 2018 |
CTRL: Connect Tabular and Language Model for CTR Prediction X Li*, B Chen*, L Hou, R Tang arXiv preprint arXiv:2306.02841, 2023 | 15 | 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 | 15 | 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 | 15 | 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 | 14 | 2021 |
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 | 13 | 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 | 9 | 2023 |
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, ... Proceedings of the ACM Web Conference 2023, 960-970, 2023 | 9 | 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 | 9 | 2022 |