Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning.
Zhiqi Ge|Yuanyuan Guan|Ximing Li|Pavel Senin|Bo Fu|Pavel Senin|Bo Fu
| Anthology ID: | DBLP:conf/cikm/GeGLF22 |
|---|---|
| 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: | 551-560 |
| URL: | https://doi.org/10.1145/3511808.3557261 |
| DOI: | https://doi.org/10.1145/3511808.3557261 |
| DBLP: | conf/cikm/GeGLF22 |
| BibTeX: |
@inproceedings{ge-2022-consistent,
author = {Zhiqi Ge and
Yuanyuan Guan and
Ximing Li and
Pavel Senin and
Bo Fu and
Pavel Senin and
Bo Fu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {551--560},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557261},
doi = {https://doi.org/10.1145/3511808.3557261}
}