GReS: Graphical Cross-domain Recommendation for Supply Chain Platform.
Zhiwen Jing|Ziliang Zhao|Yang Feng|Xiaochen Ma|Nan Wu|Shengqiao Kang|Cheng Yang|Yujia Zhang|Hao Guo
| Anthology ID: | DBLP:conf/cikm/JingZFMWKYZG22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4094-4098 |
| URL: | https://doi.org/10.1145/3511808.3557607 |
| DOI: | https://doi.org/10.1145/3511808.3557607 |
| DBLP: | conf/cikm/JingZFMWKYZG22 |
| BibTeX: |
@inproceedings{jing-2022-gres,
author = {Zhiwen Jing and
Ziliang Zhao and
Yang Feng and
Xiaochen Ma and
Nan Wu and
Shengqiao Kang and
Cheng Yang and
Yujia Zhang and
Hao Guo},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{GReS: Graphical Cross-domain Recommendation for Supply Chain Platform}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4094--4098},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557607},
doi = {https://doi.org/10.1145/3511808.3557607}
}