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Yang Zhang
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Zitiert von
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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
3042021
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
1192023
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
1072020
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
672023
A bi-step grounding paradigm for large language models in recommendation systems
K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, F Feng, X He, Q Tian
arXiv preprint arXiv:2308.08434, 2023
302023
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
242023
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
192023
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
132024
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
112023
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
72023
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
62023
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
52023
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
52023
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
52023
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
42023
Accepted tutorials at the web conference 2022
R Tommasini, S Basu Roy, X Wang, H Wang, H Ji, J Han, P Nakov, ...
Companion Proceedings of the Web Conference 2022, 391-399, 2022
22022
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
12024
Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective
Y Zhang
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
12023
Mitigating spurious correlations for self-supervised recommendation
XY Lin, YY Xu, WJ Wang, Y Zhang, FL Feng
Machine Intelligence Research 20 (2), 263-275, 2023
12023
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
Y Bai, Y Zhang, J Lu, J Chang, X Zang, Y Niu, Y Song, F Feng
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
2024
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