BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
Shuai Fan|Jinping Gou|Yang Li|Jiaxing Bai|Chen Lin|Wanxian Guan|Xubin Li|Hongbo Deng|Jian Xu|Bo Zheng
| Anthology ID: | DBLP:conf/cikm/FanGLB0GLDX023 |
|---|---|
| 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: | 514-523 |
| URL: | https://doi.org/10.1145/3583780.3614794 |
| DOI: | https://doi.org/10.1145/3583780.3614794 |
| DBLP: | conf/cikm/FanGLB0GLDX023 |
| BibTeX: |
@inproceedings{fan-2023-bomgraph,
author = {Shuai Fan and
Jinping Gou and
Yang Li and
Jiaxing Bai and
Chen Lin and
Wanxian Guan and
Xubin Li and
Hongbo Deng and
Jian Xu and
Bo Zheng},
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 = {{BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {514--523},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614794},
doi = {https://doi.org/10.1145/3583780.3614794}
}