| A neural influence diffusion model for social recommendation L Wu, P Sun, Y Fu, R Hong, X Wang, M Wang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 561* | 2019 |
| Diffnet++: A neural influence and interest diffusion network for social recommendation L Wu, J Li, P Sun, R Hong, Y Ge, M Wang IEEE Transactions on Knowledge and Data Engineering 34 (10), 4753-4766, 2020 | 243 | 2020 |
| Attentive recurrent social recommendation P Sun, L Wu, M Wang The 41st international ACM SIGIR conference on research & development in …, 2018 | 124 | 2018 |
| Collaborative neural social recommendation L Wu, P Sun, R Hong, Y Ge, M Wang IEEE transactions on systems, man, and cybernetics: systems 51 (1), 464-476, 2018 | 101 | 2018 |
| Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation P Sun, L Wu, K Zhang, Y Fu, R Hong, M Wang Proceedings of The Web Conference 2020, 837-847, 2020 | 82 | 2020 |
| A review-aware graph contrastive learning framework for recommendation J Shuai, K Zhang, L Wu, P Sun, R Hong, M Wang, Y Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 72 | 2022 |
| ProFairRec: Provider fairness-aware news recommendation T Qi, F Wu, C Wu, P Sun, L Wu, X Wang, Y Huang, X Xie Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 25 | 2022 |
| Multimodal graph contrastive learning for multimedia-based recommendation K Liu, F Xue, D Guo, P Sun, S Qian, R Hong IEEE Transactions on Multimedia, 2023 | 13 | 2023 |
| An unsupervised aspect-aware recommendation model with explanation text generation P Sun, L Wu, K Zhang, Y Su, M Wang ACM Transactions on Information Systems (TOIS) 40 (3), 1-29, 2021 | 10 | 2021 |
| Self-supervised cross domain social recommendation S Luo, Y Yang, K Zhang, P Sun, L Wu, R Hong Proceedings of the 8th International Conference on Computing and Artificial …, 2022 | 5 | 2022 |
| Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering P Sun, L Wu, K Zhang, X Chen, M Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Contextual Attention Model for Social Recommendation H Bao, L Wu, P Sun Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 3 | 2018 |
| Understanding User Immersion in Online Short Video Interaction Z He, S Zhang, P Sun, J Li, X Xie, M Zhang, Y Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation J Shuai, L Wu, K Zhang, P Sun, R Hong, M Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| Intent-aware Ranking Ensemble for Personalized Recommendation J Li, P Sun, Z Wang, W Ma, Y Li, M Zhang, Z Feng, D Xue SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on …, 2023 | 2 | 2023 |
| Common Sense Enhanced Knowledge-based Recommendation with Large Language Model S Yang, W Ma, P Sun, M Zhang, Q Ai, Y Liu, M Cai arXiv preprint arXiv:2403.18325, 2024 | 1 | 2024 |
| Understanding User Experience in Large Language Model Interactions J Wang, W Ma, P Sun, M Zhang, JY Nie arXiv preprint arXiv:2401.08329, 2024 | 1 | 2024 |
| Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction Y Wang, P Sun, M Zhang, Q Jia, J Li, S Ma Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| A User-Centric Benchmark for Evaluating Large Language Models J Wang, F Mo, W Ma, P Sun, M Zhang, JY Nie arXiv preprint arXiv:2404.13940, 2024 | | 2024 |
| Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty P Sun, Y Wang, M Zhang, C Wu, Y Fang, H Zhu, Y Fang, M Wang The Web Conference 2024, Industry Track, 2024 | | 2024 |
Le WuHefei University of Technology在 hfut.edu.cn 的电子邮件经过验证
