Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification.
Tavor Z. Baharav|Daniel L. Jiang|Kedarnath Kolluri|Sujay Sanghavi|Inderjit S. Dhillon
| Anthology ID: | DBLP:conf/cikm/BaharavJKSD21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3717-3726 |
| URL: | https://doi.org/10.1145/3459637.3481914 |
| DOI: | https://doi.org/10.1145/3459637.3481914 |
| DBLP: | conf/cikm/BaharavJKSD21 |
| BibTeX: |
@inproceedings{baharav-2021-enabling,
author = {Tavor Z. Baharav and
Daniel L. Jiang and
Kedarnath Kolluri and
Sujay Sanghavi and
Inderjit S. Dhillon},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {3717--3726},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3481914},
doi = {https://doi.org/10.1145/3459637.3481914}
}