@inproceedings{e9413fc58ec04cf595b08c00d16ca852,
title = "Collective topic modeling for heterogeneous networks",
abstract = "In this paper, we propose a joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network. The intuition behind our model is that different objects of the heterogeneous network share a common set of latent topics so as to adjust the multinomial distributions over topics for different objects collectively. Experimental results demonstrate the effectiveness of our approach for the tasks of topic modeling and object clustering.",
keywords = "Heterogeneous network, Topic modeling",
author = "Hongbo Deng and Bo Zhao and Jiawei Han",
year = "2011",
doi = "10.1145/2009916.2010073",
language = "English (US)",
isbn = "9781450309349",
series = "SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery",
pages = "1109--1110",
booktitle = "SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval",
address = "United States",
note = "34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011 ; Conference date: 24-07-2011 Through 28-07-2011",
}