| Where to go next for recommender systems? id-vs. modality-based recommender models revisited Z Yuan, F Yuan, Y Song, Y Li, J Fu, F Yang, Y Pan, Y Ni SIGIR2023, 2023 | 72 | 2023 |
| Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights J Fu, F Yuan, Y Song, Z Yuan, M Cheng, S Cheng, J Zhang, J Wang, ... WSDM2024, 2023 | 19 | 2023 |
| A content-driven micro-video recommendation dataset at scale Y Ni, Y Cheng, X Liu, J Fu, Y Li, X He, Y Zhang, F Yuan arXiv preprint arXiv:2309.15379, 2023 | 11 | 2023 |
| Ninerec: A benchmark dataset suite for evaluating transferable recommendation J Zhang, Y Cheng, Y Ni, Y Pan, Z Yuan, J Fu, Y Li, J Wang, F Yuan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders Y Li, H Du, Y Ni, Y He, J Fu, X Liu, Q Guo arXiv preprint arXiv:2403.17372, 2024 | | 2024 |
| IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT J Fu, X Ge, X Xin, A Karatzoglou, I Arapakis, J Wang, J Jose SIGIR2024, 2024 | | 2024 |
| A TDF-WNSP-WLFM algorithm for product recommendation based on multiple types of implicit user behavior J Fu, Z Qi The Journal of Supercomputing 78 (16), 17776-17796, 2022 | | 2022 |
Fajie YuanWestlake UniversityVerified email at westlake.edu.cn
