Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction.

Jun Li|Ge Zhang


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} }