Benchmarking News Recommendation in the Era of Green AI.
Qijiong Liu|Jieming Zhu|Quanyu Dai|Xiao-Ming Wu
| Anthology ID: | DBLP:conf/www/LiuZD024 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 971-974 |
| URL: | https://doi.org/10.1145/3589335.3651472 |
| DOI: | https://doi.org/10.1145/3589335.3651472 |
| DBLP: | conf/www/LiuZD024 |
| BibTeX: |
@inproceedings{liu-2024-benchmarking,
author = {Qijiong Liu and
Jieming Zhu and
Quanyu Dai and
Xiao-Ming Wu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Benchmarking News Recommendation in the Era of Green AI}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {971--974},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651472},
doi = {https://doi.org/10.1145/3589335.3651472}
}