Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
Xuansheng Wu|Huachi Zhou|Yucheng Shi|Wenlin Yao|Xiao Huang|Ninghao Liu
| Anthology ID: | DBLP:conf/www/WuZSYHL24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3566-3575 |
| URL: | https://doi.org/10.1145/3589334.3645494 |
| DOI: | https://doi.org/10.1145/3589334.3645494 |
| DBLP: | conf/www/WuZSYHL24 |
| BibTeX: |
@inproceedings{wu-2024-could,
author = {Xuansheng Wu and
Huachi Zhou and
Yucheng Shi and
Wenlin Yao and
Xiao Huang and
Ninghao Liu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3566--3575},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645494},
doi = {https://doi.org/10.1145/3589334.3645494}
}