| Self-supervised reinforcement learning for recommender systems X Xin, A Karatzoglou, I Arapakis, JM Jose Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 239 | 2020 |
| AutoDebias: Learning to debias for recommendation J Chen, H Dong, Y Qiu, X He, X Xin, L Chen, G Lin, K Yang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 199 | 2021 |
| Relational collaborative filtering: Modeling multiple item relations for recommendation X Xin, X He, Y Zhang, Y Zhang, J Jose Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 195 | 2019 |
| 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 |
| Information retrieval meets large language models: a strategic report from chinese ir community Q Ai, T Bai, Z Cao, Y Chang, J Chen, Z Chen, Z Cheng, S Dong, Z Dou, ... AI Open 4, 80-90, 2023 | 78 | 2023 |
| Should graph convolution trust neighbors? a simple causal inference method F Feng, W Huang, X He, X Xin, Q Wang, TS Chua Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 72 | 2021 |
| Choosing the best of both worlds: Diverse and novel recommendations through multi-objective reinforcement learning D Stamenkovic, A Karatzoglou, I Arapakis, X Xin, K Katevas Proceedings of the fifteenth acm international conference on web search and …, 2022 | 56 | 2022 |
| Learning robust recommenders through cross-model agreement Y Wang, X Xin, Z Meng, JM Jose, F Feng, X He Proceedings of the ACM web conference 2022, 2015-2025, 2022 | 49 | 2022 |
| Learning transferable user representations with sequential behaviors via contrastive pre-training M Cheng, F Yuan, Q Liu, X Xin, E Chen 2021 IEEE International Conference on Data Mining (ICDM), 51-60, 2021 | 48 | 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 | 46 | 2020 |
| GDSRec: Graph-based decentralized collaborative filtering for social recommendation J Chen, X Xin, X Liang, X He, J Liu IEEE transactions on knowledge and data engineering 35 (5), 4813-4824, 2022 | 44 | 2022 |
| Rethinking reinforcement learning for recommendation: A prompt perspective X Xin, T Pimentel, A Karatzoglou, P Ren, K Christakopoulou, Z Ren Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 42 | 2022 |
| Variational reasoning about user preferences for conversational recommendation Z Ren, Z Tian, D Li, P Ren, L Yang, X Xin, H Liang, M de Rijke, Z Chen proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 41 | 2022 |
| fBGD: Learning embeddings from positive unlabeled data with BGD F Yuan, X Xin, X He, G Guo, W Zhang, C Tat-Seng, JM Jose | 40 | 2018 |
| Supervised advantage actor-critic for recommender systems X Xin, A Karatzoglou, I Arapakis, JM Jose Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 39 | 2022 |
| A generic learning framework for sequential recommendation with distribution shifts Z Yang, X He, J Zhang, J Wu, X Xin, J Chen, X Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 36 | 2023 |
| Confucius: Iterative tool learning from introspection feedback by easy-to-difficult curriculum S Gao, Z Shi, M Zhu, B Fang, X Xin, P Ren, Z Chen, J Ma, Z Ren Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18030 …, 2024 | 35 | 2024 |
| Variational reasoning over incomplete knowledge graphs for conversational recommendation X Zhang, X Xin, D Li, W Liu, P Ren, Z Chen, J Ma, Z Ren Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 31 | 2023 |
| On the user behavior leakage from recommender system exposure X Xin, J Yang, H Wang, J Ma, P Ren, H Luo, X Shi, Z Chen, Z Ren ACM Transactions on Information Systems 41 (3), 1-25, 2023 | 29 | 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 | 24 | 2021 |
Joemon JoseProfessor of Computer Science, University of GlasgowPotvrđena adresa e-pošte na glasgow.ac.uk
