Nested Chinese Restaurant Franchise Processes: Applications to user tracking and document modeling

30th International Conference on Machine Learning, ICML 2013

Volumn , Issue PART 3, 2013, Pages 2476-2484

  Ahmed, Amr ^a   Hong, Linagjie ^b   Smola, Alexander J ^c  

^a GOOGLE INC   (United States)

^b YAHOO RESEARCH   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

DOCUMENT MODEL; HIERARCHICAL DIRICHLET PROCESS; JOINT DISTRIBUTIONS; LOCATION UNCERTAINTY; STATISTICAL APPROACH; TREE-STRUCTURED REPRESENTATION; USER TRACKING; USER-GENERATED;

LEARNING SYSTEMS;

EID: 84897526759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Adams, R., Ghahramani, Z., and Jordan, M. Tree-structured stick breaking for hierarchical data. In NIPS, pp. 19-27, 2010.
2. Ahmed, A., Aly, M., Gonzalez, J., Narayanamurthy, S., and Smola, A. Scalable inference in latent variable models. In WSDM, 2012.
3. Ahmed, A., Ravi, S., Narayanamurthy, S., and Smola, A. Fast ex: Hash clustering with exponential families. In NIPS, 2012.
4. Ahmed,A., Hong, L., and Smola, A. Hierarchical Geographical Modeling of User locations from Social Media Posts. In WWW, 2013.
5. Ahmed,A., Shervashidze, N., Narayanamurthy, S., Josifovski, V., and Smola, A. Distributed large-scale natrual graph factorization. In WWW, 2013.
6. Beal, M. J., Ghahramani, Z., and Rasmussen, C. E. The infinite hidden markov model. In NIPS, 2002.
7. Blei, D., Ng, A., and Jordan, M. Latent dirichlet allocation. In NIPS, MIT Press, 2002
8. Blei, D., Griffiths, T., and Jordan, M. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. Journal of the ACM, 57(2): 1-30, 2010.
9. Cheng, Z., Caverlee, J., Lee, K., and Sui, D. Exploring millions of footprints in location sharing services. In ICWSM, 2011.
10. Cho, E., Myers, S. A., and Leskovec, J. Friendship and mobility: user movement in location-based social networks. In KDD, pp. 1082-1090, New York, NY, USA, 2011. ACM.
11. Chou, K.C., Willsky, A.S., and Benveniste, A. Multi-scale recursive estimation, data fusion, and regularization. IEEE Transactions on Automatic Control, 39(3):464-478, mar 1994.
12. Cowans, P. J. Probabilistic Document Modelling. PhD thesis, University of Cambridge, 2006.
13. Eisenstein, J., O'Connor, B., Smith, N. A., and Xing, E.P. A latent variable model for geographic lexical variation. In Empirical Methods in Natural Language Processing, pp. 1277-1287, 2010.
14. Eisenstein, J., Ahmed, A., and Xing, E. Sparse additive generative models of text. In International Conference on Machine Learning, pp. 1041-1048, New York, NY, USA, 2011. ACM.
15. Hong, L., Ahmed, A., Gurumurthy, S., Smola, A., and Tsioutsiouliklis, K. Discovering geographical topics in the twitter stream. In World Wide Web, 2012.
16. James, L. F. Coag-frag duality for a class of stable poisson-kingman mixtures, 2010. URL http://arxiv.org/abs/1008.2420.
17. Kim, J., Kim, D., Kim, S., and Oh, A. Modeling Topic Hierarchies with the Recursive Chinese Restaurant Process. In CIKM, , 2012.
18. Li, W. and McCallum, A. Pachinko allocation: Dag-structured mixture models of topic correlations. In ICML, 2006.
19. Li, W., Blei, D., and McCallum, A. Nonparametric bayes pachinko allocation. In UAI, 2007.
20. Mei, Q., Liu, C., Su, H., and Zhai, C.X. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In Proceedings of WWW, pp. 533-542, New York, NY, USA, 2006. ACM.
21. Mimno, D.M., Li, W., and McCallum, A. Mixtures of hierarchical topics with pachinko allocation. In ICML, volume 227, pp. 633-640. ACM, 2007.
22. Paisley, J., Wang, C., Blei, D., and Jordan, M. I. Nested hierarchical dirichlet processes. Technical report, 2012. http://arXiv.org/abs/1210.6738.
23. Pitman, J. and Yor, M. The two-parameter poisson-dirichlet distribution derived from a stable subordinator. Annals of Probability, 25(2):855-900, 1997.
24. Teh, Y., Jordan, M., Beal, M., and Blei, D. Hierarchical dirichlet processes. Journal of the American Statistical Association, 101(576):1566-1581, 2006.
25. Wallach, H. Structured Topic Models for Language. PhD thesis, University of Cambridge, 2008.
26. Wallach, Hanna M., Murray, Iain, Salakhutdinov, Ruslan, and Mimno, David. Evaluation methods for topic models. In ICML, 2009.
27. Wang, C., Wang, J., Xing, X., and Ma, W.Y. Mining geographic knowledge using location aware topic model. In Proceedings of the 4th ACM workshop on Geographical Information Retrieval, pp. 65-70, New York, NY, USA, 2007. ACM.
28. Wing, B.P. and Baldridge, J. Simple supervised document geolocation with geodesic grids. In Proceedings of ACL, 2011.
29. Yin, Z., Cao, L., Han, J., Zhai, C., and Huang, T. Geographical topic discovery and comparison. In World Wide Web, pp. 247-256, New York, NY, USA, 2011. ACM.