How Can Recommender Systems Benefit from Large Language Models: A Survey.
Jianghao Lin|Xinyi Dai|Yunjia Xi|Weiwen Liu|Bo Chen|Hao Zhang|Yong Liu|Chuhan Wu|Xiangyang Li|Chenxu Zhu|Huifeng Guo|Yong Yu|Ruiming Tang|Weinan Zhang
| Anthology ID: | DBLP:journals/tois/LinDXLCZLWLZGYTZ25 |
|---|---|
| Year: | 2025 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 28:1-28:47 |
| URL: | https://doi.org/10.1145/3678004 |
| DOI: | https://doi.org/10.1145/3678004 |
| DBLP: | journals/tois/LinDXLCZLWLZGYTZ25 |
| BibTeX: |
@article{lin-2025-recommender,
author = {Jianghao Lin and
Xinyi Dai and
Yunjia Xi and
Weiwen Liu and
Bo Chen and
Hao Zhang and
Yong Liu and
Chuhan Wu and
Xiangyang Li and
Chenxu Zhu and
Huifeng Guo and
Yong Yu and
Ruiming Tang and
Weinan Zhang},
title = {{How Can Recommender Systems Benefit from Large Language Models: A Survey}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {43},
number = {2},
pages = {28:1--28:47},
year = {2025},
url = {https://doi.org/10.1145/3678004},
doi = {https://doi.org/10.1145/3678004}
}