| 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, 2024 | 203* | 2024 |
| 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, ... Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | 154 | 2024 |
| 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 Proceedings of the ACM on Web Conference 2024, 3497–3508, 2024 | 81* | 2024 |
| A graph-enhanced click model for web search J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 43 | 2021 |
| Mamba4rec: Towards efficient sequential recommendation with selective state space models C Liu, J Lin, J Wang, H Liu, J Caverlee arXiv preprint arXiv:2403.03900, 2024 | 39 | 2024 |
| Map: A model-agnostic pretraining framework for click-through rate prediction J Lin, Y Qu, W Guo, X Dai, R Tang, Y Yu, W Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 36 | 2023 |
| An adversarial imitation click model for information retrieval X Dai, J Lin, W Zhang, S Li, W Liu, R Tang, X He, J Hao, J Wang, Y Yu Proceedings of the Web Conference 2021, 1809-1820, 2021 | 35 | 2021 |
| 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 Web Conference 2024, 3319–3330, 2024 | 31* | 2024 |
| A Bird's-eye View of Reranking: from List Level to Page Level Y Xi*, J Lin*, W Liu, X Dai, W Zhang, R Zhang, R Tang, Y Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 29 | 2023 |
| An f-shape click model for information retrieval on multi-block mobile pages L Fu*, J Lin*, W Liu, R Tang, W Zhang, R Zhang, Y Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 16 | 2023 |
| Towards Efficient and Effective Unlearning of Large Language Models for Recommendation H Wang*, J Lin*, B Chen, Y Yang, R Tang, W Zhang, Y Yu arXiv preprint arXiv:2403.03536, 2024 | 15 | 2024 |
| Learning ball-balancing robot through deep reinforcement learning Y Zhou, J Lin, S Wang, C Zhang 2021 International Conference on Computer, Control and Robotics (ICCCR), 1-8, 2021 | 13 | 2021 |
| Codeapex: A bilingual programming evaluation benchmark for large language models L Fu, H Chai, S Luo, K Du, W Zhang, L Fan, J Lei, R Rui, J Lin, Y Fang, ... arXiv preprint arXiv:2309.01940, 2023 | 11* | 2023 |
| FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction H Wang*, J Lin*, X Li, B Chen, C Zhu, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | 8* | 2024 |
| DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation K Du, J Chen, J Lin, Y Xi, H Wang, X Dai, B Chen, R Tang, W Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 8* | 2024 |
| MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models Y Xi, W Liu, J Lin, B Chen, R Tang, W Zhang, Y Yu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 7 | 2024 |
| Agentic Information Retrieval W Zhang, J Liao, N Li, K Du, L Jianghao arXiv preprint arXiv:2410.09713, 2024 | 6 | 2024 |
| A Survey on Diffusion Models for Recommender Systems J Lin, J Liu, J Zhu, Y Xi, C Liu, Y Zhang, Y Yu, W Zhang arXiv preprint arXiv:2409.05033, 2024 | 6 | 2024 |
| Lifelong personalized low-rank adaptation of large language models for recommendation J Zhu, J Lin, X Dai, B Chen, R Shan, J Zhu, R Tang, Y Yu, W Zhang arXiv preprint arXiv:2408.03533, 2024 | 6 | 2024 |
| A Comprehensive Survey on Retrieval Methods in Recommender Systems J Huang, J Chen, J Lin, J Qin, Z Feng, W Zhang, Y Yu arXiv preprint arXiv:2407.21022, 2024 | 6 | 2024 |
Weinan ZhangProfessor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn