Probabilistic topic models with biased propagation on heterogeneous information networks
- 21 August 2011
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 1271-1279
- https://doi.org/10.1145/2020408.2020600
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Collective topic modeling for heterogeneous networksPublished by Association for Computing Machinery (ACM) ,2011
- Discriminative topic modeling based on manifold learningPublished by Association for Computing Machinery (ACM) ,2010
- ArnetMinerPublished by Association for Computing Machinery (ACM) ,2008
- Joint latent topic models for text and citationsPublished by Association for Computing Machinery (ACM) ,2008
- Exploring social annotations for information retrievalPublished by Association for Computing Machinery (ACM) ,2008
- LDA-based document models for ad-hoc retrievalPublished by Association for Computing Machinery (ACM) ,2006
- Link analysis ranking: algorithms, theory, and experimentsACM Transactions on Internet Technology, 2005
- Probabilistic author-topic models for information discoveryPublished by Association for Computing Machinery (ACM) ,2004
- Authoritative sources in a hyperlinked environmentJournal of the ACM, 1999
- The anatomy of a large-scale hypertextual Web search engineComputer Networks and ISDN Systems, 1998