GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees.
Qian Zhao|Yue Shi|Liangjie Hong
| Anthology ID: | DBLP:conf/www/ZhaoSH17 |
|---|---|
| Volume: | Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 |
| Year: | 2017 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1311-1319 |
| URL: | https://doi.org/10.1145/3038912.3052668 |
| DOI: | https://doi.org/10.1145/3038912.3052668 |
| DBLP: | conf/www/ZhaoSH17 |
| BibTeX: |
@inproceedings{zhao-2017-gbcent,
author = {Qian Zhao and
Yue Shi and
Liangjie Hong},
editor = {Rick Barrett and
Rick Cummings and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees}},
booktitle = {{Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017}},
pages = {1311--1319},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3038912.3052668},
doi = {https://doi.org/10.1145/3038912.3052668}
}