| Causal intervention for leveraging popularity bias in recommendation Y Zhang, F Feng, X He, T Wei, C Song, G Ling, Y Zhang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 383 | 2021 |
| Tallrec: An effective and efficient tuning framework to align large language model with recommendation K Bao, J Zhang, Y Zhang, W Wang, F Feng, X He Proceedings of the 17th ACM Conference on Recommender Systems, 1007-1014, 2023 | 241 | 2023 |
| How to retrain recommender system? A sequential meta-learning method Y Zhang, F Feng, C Wang, X He, M Wang, Y Li, Y Zhang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 124 | 2020 |
| Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation J Zhang, K Bao, Y Zhang, W Wang, F Feng, X He Proceedings of the 17th ACM Conference on Recommender Systems, 993-999, 2023 | 116 | 2023 |
| Collm: Integrating collaborative embeddings into large language models for recommendation Y Zhang, F Feng, J Zhang, K Bao, Q Wang, X He arXiv preprint arXiv:2310.19488, 2023 | 51 | 2023 |
| A bi-step grounding paradigm for large language models in recommendation systems K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, C Chen, F Feng, ... arXiv preprint arXiv:2308.08434, 2023 | 49 | 2023 |
| Addressing confounding feature issue for causal recommendation X He, Y Zhang, F Feng, C Song, L Yi, G Ling, Y Zhang ACM Transactions on Information Systems 41 (3), 1-23, 2023 | 36 | 2023 |
| Causal recommendation: Progresses and future directions W Wang, Y Zhang, H Li, P Wu, F Feng, X He Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 19 | 2023 |
| Mitigating hidden confounding effects for causal recommendation X Zhu, Y Zhang, X Yang, D Wang, F Feng IEEE Transactions on Knowledge and Data Engineering, 2024 | 18 | 2024 |
| Recommendation unlearning via influence function Y Zhang, Z Hu, Y Bai, F Feng, J Wu, Q Wang, X He arXiv preprint arXiv:2307.02147, 2023 | 17 | 2023 |
| Large language models for recommendation: Progresses and future directions K Bao, J Zhang, Y Zhang, W Wenjie, F Feng, X He Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 14 | 2023 |
| Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation Y Zhang, T Shi, F Feng, W Wang, D Wang, X He, Y Zhang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 12 | 2023 |
| Leveraging watch-time feedback for short-video recommendations: A causal labeling framework Y Zhang, Y Bai, J Chang, X Zang, S Lu, J Lu, F Feng, Y Niu, Y Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8 | 2023 |
| Rethinking missing data: Aleatoric uncertainty-aware recommendation C Wang, F Feng, Y Zhang, Q Wang, X Hu, X He IEEE Transactions on Big Data, 2023 | 8 | 2023 |
| Large language models are learnable planners for long-term recommendation W Shi, X He, Y Zhang, C Gao, X Li, J Zhang, Q Wang, F Feng Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 5* | 2024 |
| Prospect Personalized Recommendation on Large Language Model-based Agent Platform J Zhang, K Bao, W Wang, Y Zhang, W Shi, W Xu, F Feng, TS Chua arXiv preprint arXiv:2402.18240, 2024 | 5 | 2024 |
| Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems T Shi, Y Zhang, Z Xu, C Chen, F Feng, X He, Q Tian arXiv preprint arXiv:2312.15599, 2023 | 5 | 2023 |
| Exact and Efficient Unlearning for Large Language Model-based Recommendation Z Hu, Y Zhang, M Xiao, W Wang, F Feng, X He arXiv preprint arXiv:2404.10327, 2024 | 4 | 2024 |
| Large Language Models for Recommendation: Past, Present, and Future K Bao, J Zhang, X Lin, Y Zhang, W Wang, F Feng Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 3 | 2024 |
| Decoding matters: Addressing amplification bias and homogeneity issue for llm-based recommendation K Bao, J Zhang, Y Zhang, X Huo, C Chen, F Feng arXiv preprint arXiv:2406.14900, 2024 | 3 | 2024 |
Fuli FengUniversity of Science and Technology of ChinaBestätigte E-Mail-Adresse bei ustc.edu.cn
