Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction.
| Anthology ID: | DBLP:conf/cikm/LiZ23 |
|---|---|
| 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: | 4688-4694 |
| URL: | https://doi.org/10.1145/3583780.3615478 |
| DOI: | https://doi.org/10.1145/3583780.3615478 |
| DBLP: | conf/cikm/LiZ23 |
| BibTeX: |
@inproceedings{li-2023-fragment,
author = {Jun Li and
Ge Zhang},
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 = {{Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4688--4694},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615478},
doi = {https://doi.org/10.1145/3583780.3615478}
}