NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.
Guanghui Zhu|Feng Cheng|Defu Lian|Chunfeng Yuan|Yihua Huang
| Anthology ID: | DBLP:conf/sigir/ZhuCLYH22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 332-342 |
| URL: | https://doi.org/10.1145/3477495.3532030 |
| DOI: | https://doi.org/10.1145/3477495.3532030 |
| DBLP: | conf/sigir/ZhuCLYH22 |
| BibTeX: |
@inproceedings{zhu-2022-nasctr,
author = {Guanghui Zhu and
Feng Cheng and
Defu Lian and
Chunfeng Yuan and
Yihua Huang},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {332--342},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3532030},
doi = {https://doi.org/10.1145/3477495.3532030}
}