Logistics Audience Expansion via Temporal Knowledge Graph.
Rouzbeh Meymandpour|Hua Yan|Yu Yang|Yingqiang Ge|Haotian Wang|Desheng Zhang|Yu Yang|Rouzbeh Meymandpour
| Anthology ID: | DBLP:conf/cikm/YanGWZY23 |
|---|---|
| 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: | 4879-4886 |
| URL: | https://doi.org/10.1145/3583780.3614695 |
| DOI: | https://doi.org/10.1145/3583780.3614695 |
| DBLP: | conf/cikm/YanGWZY23 |
| BibTeX: |
@inproceedings{meymandpour-2023-logistics,
author = {Rouzbeh Meymandpour and
Hua Yan and
Yu Yang and
Yingqiang Ge and
Haotian Wang and
Desheng Zhang and
Yu Yang and
Rouzbeh Meymandpour},
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 = {{Logistics Audience Expansion via Temporal Knowledge Graph}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4879--4886},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614695},
doi = {https://doi.org/10.1145/3583780.3614695}
}