HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
Lucas Vinh Tran|Yi Tay|Shuai Zhang|Gao Cong|Xiaoli Li
| Anthology ID: | DBLP:conf/wsdm/TranT0CL20 |
|---|---|
| Volume: | WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 |
| Year: | 2020 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 609-617 |
| URL: | https://doi.org/10.1145/3336191.3371850 |
| DOI: | https://doi.org/10.1145/3336191.3371850 |
| DBLP: | conf/wsdm/TranT0CL20 |
| BibTeX: |
@inproceedings{tran-2020-hyperml,
author = {Lucas Vinh Tran and
Yi Tay and
Shuai Zhang and
Gao Cong and
Xiaoli Li},
editor = {James Caverlee and
Xia Ben Hu and
Mounia Lalmas-Roelleke and
Wei Wang},
title = {{HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems}},
booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}},
pages = {609--617},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3336191.3371850},
doi = {https://doi.org/10.1145/3336191.3371850}
}