| A survey of large language models WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou, Y Min, B Zhang, J Zhang, ... arXiv preprint arXiv:2303.18223, 2023 | 4228* | 2023 |
| RecBole: Towards a unified, comprehensive and efficient framework for recommendation algorithms WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ... CIKM 2021, Resource Track, 2021 | 460* | 2021 |
| Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Z Lin, C Tian, Y Hou, WX Zhao TheWebConf (WWW) 2022, 2022 | 441 | 2022 |
| Large language models are zero-shot rankers for recommender systems Y Hou, J Zhang, Z Lin, H Lu, R Xie, J McAuley, WX Zhao ECIR 2024, 2024 | 357 | 2024 |
| Towards Universal Sequence Representation Learning for Recommender Systems Y Hou, S Mu, WX Zhao, Y Li, B Ding, JR Wen KDD 2022, 2022 | 269 | 2022 |
| Recommendation as instruction following: A large language model empowered recommendation approach J Zhang, R Xie, Y Hou, X Zhao, L Lin, JR Wen ACM Transactions on Information Systems, 2023 | 206 | 2023 |
| Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders Y Hou, Z He, J McAuley, WX Zhao TheWebConf (WWW) 2023, 2023 | 139 | 2023 |
| RecBole 2.0: Towards a More Up-to-Date Recommendation Library WX Zhao, Y Hou, X Pan, C Yang, Z Zhang, Z Lin, J Zhang, S Bian, J Tang, ... CIKM 2022, Resource Track, 2022 | 128 | 2022 |
| CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space Y Hou, B Hu, Z Zhang, WX Zhao SIGIR 2022, short paper, 2022 | 97 | 2022 |
| Adapting large language models by integrating collaborative semantics for recommendation B Zheng, Y Hou, H Lu, Y Chen, WX Zhao, JR Wen ICDE 2024, 2024 | 79 | 2024 |
| Bridging language and items for retrieval and recommendation Y Hou, J Li, Z He, A Yan, X Chen, J McAuley arXiv preprint arXiv:2403.03952, 2024 | 76 | 2024 |
| Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network S Bian, X Chen, WX Zhao, K Zhou, Y Hou, Y Song, T Zhang, JR Wen CIKM 2020, 65-74, 2020 | 58 | 2020 |
| AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems J Zhang, Y Hou, R Xie, W Sun, J McAuley, WX Zhao, L Lin, JR Wen TheWebConf (WWW) 2024, 2024 | 56 | 2024 |
| Modeling Two-Way Selection Preference for Person-Job Fit C Yang, Y Hou, Y Song, T Zhang, JR Wen, WX Zhao RecSys 2022, 2022 | 48 | 2022 |
| Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems L Xu, Z Tian, G Zhang, J Zhang, L Wang, B Zheng, Y Li, J Tang, Z Zhang, ... SIGIR 2023, Resource Track, 2837-2847, 2023 | 27 | 2023 |
| InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment J Wang, J Wu, Y Hou, Y Liu, M Gao, J McAuley Findings of ACL 2024, 2024 | 18 | 2024 |
| ID-Agnostic User Behavior Pre-training for Sequential Recommendation S Mu, Y Hou, WX Zhao, Y Li, B Ding CCIR 2022, 2022 | 18 | 2022 |
| Leveraging Search History for Improving Person-Job Fit Y Hou, X Pan, WX Zhao, S Bian, Y Song, T Zhang, JR Wen DASFAA 2022, 2022 | 17 | 2022 |
| Multi-grained Hypergraph Interest Modeling for Conversational Recommendation C Shang, Y Hou, WX Zhao, Y Li, J Zhang AI Open, 2023 | 12 | 2023 |
| Neural Graph Matching for Pre-training Graph Neural Networks Y Hou, B Hu, WX Zhao, Z Zhang, J Zhou, JR Wen SDM 2022, 2022 | 11 | 2022 |
Wayne Xin ZhaoProfessor, Renmin University of ChinaVerified email at ruc.edu.cn