Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce.
Ke Zhai|Jordan L. Boyd-Graber|Sebastian Bruch|Mohamad L. Alkhouja
| Anthology ID: | DBLP:conf/www/ZhaiBAA12 |
|---|---|
| Volume: | Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012 |
| Year: | 2012 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 879-888 |
| URL: | https://doi.org/10.1145/2187836.2187955 |
| DOI: | https://doi.org/10.1145/2187836.2187955 |
| DBLP: | conf/www/ZhaiBAA12 |
| BibTeX: |
@inproceedings{zhai-2012-mr,
author = {Ke Zhai and
Jordan L. Boyd-Graber and
Sebastian Bruch and
Mohamad L. Alkhouja},
editor = {Alain Mille and
Fabien Gandon and
Jacques Misselis and
Michael Rabinovich and
Steffen Staab},
title = {{Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce}},
booktitle = {{Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012}},
pages = {879--888},
publisher = {ACM},
year = {2012},
url = {https://doi.org/10.1145/2187836.2187955},
doi = {https://doi.org/10.1145/2187836.2187955}
}