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} }