EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.
Zexuan Qiu|Jieming Zhu|Yankai Chen|Guohao Cai|Weiwen Liu|Zhenhua Dong|Irwin King
| Anthology ID: | DBLP:conf/cikm/QiuZ0CLDK24 |
|---|---|
| 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: | 4819-4827 |
| URL: | https://doi.org/10.1145/3627673.3680048 |
| DOI: | https://doi.org/10.1145/3627673.3680048 |
| DBLP: | conf/cikm/QiuZ0CLDK24 |
| BibTeX: |
@inproceedings{qiu-2024-ease,
author = {Zexuan Qiu and
Jieming Zhu and
Yankai Chen and
Guohao Cai and
Weiwen Liu and
Zhenhua Dong and
Irwin King},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4819--4827},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680048},
doi = {https://doi.org/10.1145/3627673.3680048}
}