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} }