Estimating Probability Density of Content Types for Promoting Medical Records Search.
Yun He|Qinmin Hu|Yang Song|Liang He
| Anthology ID: | DBLP:conf/ecir/HeHSH16 |
|---|---|
| Volume: | Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings |
| Year: | 2016 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 252-263 |
| URL: | https://doi.org/10.1007/978-3-319-30671-1_19 |
| DOI: | https://doi.org/10.1007/978-3-319-30671-1_19 |
| DBLP: | conf/ecir/HeHSH16 |
| BibTeX: |
@inproceedings{he-2016-estimating,
author = {Yun He and
Qinmin Hu and
Yang Song and
Liang He},
editor = {Nicola Ferro and
Fabio Crestani and
Marie-Francine Moens and
Josiane Mothe and
Fabrizio Silvestri and
Giorgio Maria Di Nunzio and
Claudia Hauff and
Gianmaria Silvello},
title = {{Estimating Probability Density of Content Types for Promoting Medical Records Search}},
booktitle = {{Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {9626},
pages = {252--263},
publisher = {Springer},
year = {2016},
url = {https://doi.org/10.1007/978-3-319-30671-1_19},
doi = {https://doi.org/10.1007/978-3-319-30671-1_19}
}