Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction.
Fangye Wang|Hansu Gu|Dongsheng Li|Tun Lu|Peng Zhang|Ning Gu
| Anthology ID: | DBLP:conf/cikm/WangGLLZG23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2523-2533 |
| URL: | https://doi.org/10.1145/3583780.3615089 |
| DOI: | https://doi.org/10.1145/3583780.3615089 |
| DBLP: | conf/cikm/WangGLLZG23 |
| BibTeX: |
@inproceedings{wang-2023-towards,
author = {Fangye Wang and
Hansu Gu and
Dongsheng Li and
Tun Lu and
Peng Zhang and
Ning Gu},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2523--2533},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615089},
doi = {https://doi.org/10.1145/3583780.3615089}
}