Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.
Ruidong Han|Qianzhong Li|He Jiang|Rui Li|Yurou Zhao|Xiang Li|Wei Lin
| Anthology ID: | DBLP:conf/cikm/HanLJ0ZL024 |
|---|---|
| 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: | 3777-3781 |
| URL: | https://doi.org/10.1145/3627673.3679914 |
| DOI: | https://doi.org/10.1145/3627673.3679914 |
| DBLP: | conf/cikm/HanLJ0ZL024 |
| BibTeX: |
@inproceedings{han-2024-enhancing,
author = {Ruidong Han and
Qianzhong Li and
He Jiang and
Rui Li and
Yurou Zhao and
Xiang Li and
Wei Lin},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3777--3781},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679914},
doi = {https://doi.org/10.1145/3627673.3679914}
}