RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
Dairui Liu|Boming Yang|Honghui Du|Derek Greene|Neil Hurley|Aonghus Lawlor|Ruihai Dong|Irene Li
| Anthology ID: | DBLP:conf/cikm/LiuYDGHLDL24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3902-3906 |
| URL: | https://doi.org/10.1145/3627673.3679987 |
| DOI: | https://doi.org/10.1145/3627673.3679987 |
| DBLP: | conf/cikm/LiuYDGHLDL24 |
| BibTeX: |
@inproceedings{liu-2024-recprompt,
author = {Dairui Liu and
Boming Yang and
Honghui Du and
Derek Greene and
Neil Hurley and
Aonghus Lawlor and
Ruihai Dong and
Irene Li},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3902--3906},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679987},
doi = {https://doi.org/10.1145/3627673.3679987}
}