Learning a Better Negative Sampling Policy with Deep Neural Networks for Search.
Daniel Cohen|Scott M. Jordan|W. Bruce Croft
| Anthology ID: | DBLP:conf/ictir/CohenJC19 |
|---|---|
| Volume: | Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. |
| Year: | 2019 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 19-26 |
| URL: | https://doi.org/10.1145/3341981.3344220 |
| DOI: | https://doi.org/10.1145/3341981.3344220 |
| DBLP: | conf/ictir/CohenJC19 |
| BibTeX: |
@inproceedings{cohen-2019-learning,
author = {Daniel Cohen and
Scott M. Jordan and
W. Bruce Croft},
editor = {Yi Fang and
Yi Zhang and
James Allan and
Krisztian Balog and
Ben Carterette and
Jiafeng Guo},
title = {{Learning a Better Negative Sampling Policy with Deep Neural Networks for Search}},
booktitle = {{Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019}},
pages = {19--26},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3341981.3344220},
doi = {https://doi.org/10.1145/3341981.3344220}
}