One theme in all views: modeling consensus topics in multiple contexts
J. Tang, M. Zhang, и Q. Mei. Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, стр. 5--13. ACM, (2013)
%0 Conference Paper
%1 tang2013one
%A Tang, Jian
%A Zhang, Ming
%A Mei, Qiaozhu
%B Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
%D 2013
%K general generic lda model
%P 5--13
%T One theme in all views: modeling consensus topics in multiple contexts
@inproceedings{tang2013one,
added-at = {2014-09-19T03:08:13.000+0200},
author = {Tang, Jian and Zhang, Ming and Mei, Qiaozhu},
biburl = {https://www.bibsonomy.org/bibtex/2b41b9c3b3ec022779c99cdd871dd2270/becker},
booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining},
description = {Might be interesting to read.},
interhash = {5a251705c9255438d6eb92ebd6cd498a},
intrahash = {b41b9c3b3ec022779c99cdd871dd2270},
keywords = {general generic lda model},
organization = {ACM},
pages = {5--13},
timestamp = {2014-09-19T03:08:13.000+0200},
title = {One theme in all views: modeling consensus topics in multiple contexts},
year = 2013
}
