A relevance-based topic model for news event tracking.
Viet Ha-Thuc|Yelena Mejova|Christopher G. Harris|Padmini Srinivasan
| Anthology ID: | DBLP:conf/sigir/Ha-ThucMHS09 |
|---|---|
| Volume: | Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009 |
| Year: | 2009 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 764-765 |
| URL: | https://doi.org/10.1145/1571941.1572117 |
| DOI: | https://doi.org/10.1145/1571941.1572117 |
| DBLP: | conf/sigir/Ha-ThucMHS09 |
| BibTeX: |
@inproceedings{hathuc-2009-relevancebased,
author = {Viet Ha-Thuc and
Yelena Mejova and
Christopher G. Harris and
Padmini Srinivasan},
editor = {ChengXiang Zhai and
James Allan and
Javed A. Aslam and
Mark Sanderson and
ChengXiang Zhai and
Javed A. Aslam and
Justin Zobel},
title = {{A relevance-based topic model for news event tracking}},
booktitle = {{Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009}},
pages = {764--765},
publisher = {ACM},
year = {2009},
url = {https://doi.org/10.1145/1571941.1572117},
doi = {https://doi.org/10.1145/1571941.1572117}
}