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} }