Modeling social annotation data with content relevance using a topic model

Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

Volumn , Issue , 2009, Pages 835-843

  Iwata, Tomoharu ^a   Yamada, Takeshi ^a   Ueda, Naonori ^a  

^a NTT Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); DATA MINING; IMAGE ENHANCEMENT; IMAGE RECOGNITION; LEARNING SYSTEMS; STATISTICS; TEXT PROCESSING; USER PROFILE; WEBSITES;

BOOKMARKING SERVICES; DISCRETE DATA; LEARNING TASKS; MACHINE-LEARNING; PRE-PROCESSING STEP; PROBABILISTIC TOPIC MODELS; SOCIAL ANNOTATIONS; SOCIAL BOOKMARKING; TOPIC MODELING; WEB-PAGE;

SEMANTICS;

EID: 78049408538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. K. Barnard, P. Duygulu, D. Forsyth, N. de Freitas, D. M. Blei, and M. I. Jordan. Matching words and pictures. Journal of Machine Learning Research, 3:1107-1135, 2003.
2. D. M. Blei and M. I. Jordan. Modeling annotated data. In SIGIR '03: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 127-134, 2003.
3. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
4. C. Chemudugunta, P. Smyth, and M. Steyvers. Modeling general and specific aspects of documents with a probabilistic topic model. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 241-248. MIT Press, 2007.
5. CiteULike. http://www.citeulike.org.
6. G. Csurka, C. Dance, J. Willamowski, L. Fan, and C. Bray. Visual categorization with bags of keypoints. In ECCV International Workshop on Statistical Learning in Computer Vision, 2004.
7. Delicious. http://delicious.com.
8. S. Feng, R. Manmatha, and V. Lavrenko. Multiple Bernoulli relevance models for image and video annotation. In CVPR '04: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 2, pages 1002-1009, 2004.
9. Flickr. http://flickr.com.
10. S. Golder and B. A. Huberman. Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2):198-208, 2006.
11. T. L. Griffiths and M. Steyvers. Finding scientific topics. Proceedings of the National Academy of Sciences, 101 Suppl 1:5228-5235, 2004.
12. Hatena: Bookmark. http://b.hatena.ne.jp.
13. T. Hofmann. Probabilistic latent semantic analysis. In UAI '99: Proceedings of 15th Conference on Uncertainty in Artificial Intelligence, pages 289-296, 1999.
14. T. Hofmann. Collaborative filtering via Gaussian probabilistic latent semantic analysis. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 259-266. ACM Press, 2003.
15. T. Iwata, T. Yamada, and N. Ueda. Probabilistic latent semantic visualization: topic model for visualizing documents. In KDD '08: Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 363-371. ACM, 2008.
16. J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. In SIGIR '03: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 119-126. ACM, 2003.
17. J. Jeon and R. Manmatha. Using maximum entropy for automatic image annotation. In CIVR '04: Proceedings of the 3rd International Conference on Image and Video Retrieval, pages 24-32, 2004.
18. K. Lang. NewsWeeder: learning to filter netnews. In ICML '95: Proceedings of the 12th International Conference on Machine Learning, pages 331-339, 1995.
19. Last.fm. http://www.last.fm.
20. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
21. T. Minka. Estimating a Dirichlet distribution. Technical report, M.I.T., 2000.
22. K. Nigam, J. Lafferty, and A. McCallum. Using maximum entropy for text classification. In Proceedings of IJCAI-99 Workshop on Machine Learning for Information Filtering, pages 61-67, 1999.
23. Technorati. http://technorati.com.
24. Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476):1566-1581, 2006.
25. X. Wu, L. Zhang, and Y. Yu. Exploring social annotations for the semantic web. In WWW '06: Proceedings of the 15th International Conference on World Wide Web, pages 417-426. ACM, 2006.
26. YouTube. http://www.youtube.com.
27. D. Zhou, J. Bian, S. Zheng, H. Zha, and C. L. Giles. Exploring social annotations for information retrieval. In WWW '08: Proceeding of the 17th International Conference on World Wide Web, pages 715-724. ACM, 2008.