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SIGIR
2011
ACM

Collective topic modeling for heterogeneous networks

7 years 9 months ago
Collective topic modeling for heterogeneous networks
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. Categories and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—text mining, clustering General Terms: Algorithms, Experimentation
Hongbo Deng, Bo Zhao, Jiawei Han
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SIGIR
Authors Hongbo Deng, Bo Zhao, Jiawei Han
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