Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
Philip A. Etter|Kai Zhong|Hsiang-Fu Yu|Lexing Ying|Inderjit S. Dhillon
| Anthology ID: | DBLP:conf/www/EtterZYYD22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 452-461 |
| URL: | https://doi.org/10.1145/3485447.3511973 |
| DOI: | https://doi.org/10.1145/3485447.3511973 |
| DBLP: | conf/www/EtterZYYD22 |
| BibTeX: |
@inproceedings{etter-2022-enterprisescale,
author = {Philip A. Etter and
Kai Zhong and
Hsiang-Fu Yu and
Lexing Ying and
Inderjit S. Dhillon},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {452--461},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3511973},
doi = {https://doi.org/10.1145/3485447.3511973}
}