| How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems 43 (2), 1-47, 2025 | 189* | 2025 |
| Towards open-world recommendation with knowledge augmentation from large language models Y Xi, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 12-22, 2024 | 148 | 2024 |
| 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 | 126 | 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 | 111 | 2021 |
| 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 | 81* | 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 | 64 | 2021 |
| CTRL: Connect Tabular and Language Model for CTR Prediction X Li*, B Chen*, L Hou, R Tang arXiv preprint arXiv:2306.02841, 2023 | 56* | 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 | 48 | 2022 |
| 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 | 46 | 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 | 42 | 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 | 41 | 2023 |
| 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 | 40 | 2022 |
| 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 | 39 | 2022 |
| Clickprompt: CTR models are strong prompt generators for adapting language models to CTR prediction J Lin, B Chen, H Wang, Y Xi, Y Qu, X Dai, K Zhang, R Tang, Y Yu, ... Proceedings of the ACM Web Conference 2024, 3319-3330, 2024 | 31* | 2024 |
| 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 | 28 | 2023 |
| Hamur: Hyper adapter for multi-domain recommendation X Li, F Yan, X Zhao, Y Wang, B Chen, H Guo, R Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 27 | 2023 |
| 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 | 25 | 2021 |
| 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 | 24 | 2021 |
| 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 | 22 | 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 | 21 | 2023 |
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