PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction.
Yuanbo Gao|Peng Lin|Dongyue Wang|Feng Mei|Xiwei Zhao|Sulong Xu|Jinghe Hu
| Anthology ID: | DBLP:conf/www/GaoLWMZXH24 |
|---|---|
| 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: | 311-318 |
| URL: | https://doi.org/10.1145/3589335.3648329 |
| DOI: | https://doi.org/10.1145/3589335.3648329 |
| DBLP: | conf/www/GaoLWMZXH24 |
| BibTeX: |
@inproceedings{gao-2024-ppm,
author = {Yuanbo Gao and
Peng Lin and
Dongyue Wang and
Feng Mei and
Xiwei Zhao and
Sulong Xu and
Jinghe Hu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {311--318},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3648329},
doi = {https://doi.org/10.1145/3589335.3648329}
}