Exploring Social Annotations for Information Retrieval

Proceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Volumn , Issue , 2008, Pages 715-724

  Zhou, Ding ^a   Bian, Jiang ^b   Zheng, Shuyi ^c   Zha, Hongyuan ^b   C Lee Giles, ^c  

^a FACEBOOK   (United States)

^b Georgia Institute of Technology   (United States)

^c The Pennsylvania State University   (United States)

Author keywords

Folksonomy; Information retrieval; Language modeling; Social annotations

Indexed keywords

BACKGROUND MODELS; COMPUTATIONAL ALGORITHMS; DATA SETS; DO-MAINS; FOLKSONOMY; GENERATIVE MODELS; LANGUAGE MODELING; LANGUAGE MODELS; PROBABILISTIC MODELS; QUERY LANGUAGE MODELS; RESEARCH AREAS; RISK MINIMIZATIONS; SMOOTHING TECHNIQUES; SOCIAL ANNOTATIONS; TEXT ANALYSES; UNIFIED FRAMEWORKS; USER DOMAINS; WEB-BASED APPLICATIONS;

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; INFERENCE ENGINES; INFORMATION RETRIEVAL; INFORMATION SERVICES; INTERNET; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; OPTIMIZATION; QUERY LANGUAGES; SECURITY OF DATA; WORLD WIDE WEB;

UNIFIED MODELING LANGUAGE;

EID: 57349185892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367594     Document Type: Conference Paper

References (22)

1. T. Berners-Lee, J. Hendler, and O. Lassila. The semantic web. Scientific American, 284(5):34-43, 2001.
2. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 2003.
3. S. Dill, N. Eiron, D. Gibson, D. Gruhl, R. Guha, A. Jhingran, T. Kanungo, S. Rajagopalan, A. Tomkins, J. A. Tomlin, and J. Y. Zien. Semtag and seeker: bootstrapping the semantic web via automated semantic annotation. In Proceedings of the 12th international conference on World Wide Web,pages 178-186, 2003.
4. S. Golder and B. A. Huberman. Usage patterns of collaborative tagging systems. Journal of Information Science, pages 198-208, 2006.
5. T. Griffiths and M. Steyvers. Finding scientific topics. In National Academy of Sciences, 2004.
6. A. Hotho, R. Jaschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In Y. Sure and J. Domingue, editors, The Semantic Web: Research and Applications, volume 4011 of LNAI, pages 411-426, Heidelberg, June 2006. Springer.
7. P. Jackson. Introduction to expert systems. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1986.
8. K. Jarvelin and J. Kekalainen. IR evaluation methods for retrieving highly relevant documents. In Proceedings of the 23rd annual international ACM SIGIR conference on research and development in information retrieval, pages 41-48, 2000.
9. F. Jelinek and R. Mercer. Interpolated estimation of markov source parameters from sparse data. In Pattern recognition in Practice, 1980.
10. R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. In Proceedings of the 12th international conference on World Wide Web, pages 568-576, 2003.
11. O. Kurland, L. Lee, and C. Domshlak. Better than the real thing?: iterative pseudo-query processing using cluster-based language models. In SIGIR '05: Proceedings of the 28th annual international A CM SIGIR conference on Research and development in information retrieval, pages 19-26, New York, NY, USA, 2005. ACM Press.
12. J. Lafferty and C. Zhai. Document language models, query models, and risk minimization for information retrieval. In SIGIR '01: Proceedings of the 24th annual international conference on Research and development in information retrieval, pages 111-119, 2001.
13. A. K. McCallum. Multi-label text classification with a mixture model trained by em. In AAAI'09 Workshop on Text Learning, 1999.
14. Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text: an exploration of temporal text mining. In KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, pages 198-207, New York, NY, USA, 2005. ACM Press.
15. J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pages 275-281, New York, NY, USA, 1998. ACM Press.
16. C. P. Robert and G. Casella. Monte Carlo Statistical Methods. Springer Publisher, 2nd Edition, 2005.
17. M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In UAI '04: Proceedings of the 20th conference on Uncertainty in artificial intelligence, pages 487-494. UAI Press, 2004.
18. M. Steyvers, P. Smyth, M. Rosen-Zvi, and T. Griffiths. Probabilistic author-topic models for information discovery. In KDD '04'. Proceedings of the tenth A CM SIGKDD international conference on Knowledge discovery and data mining, pages 306-315. ACM Press, 2004.
19. T. Tao, X. Wang, Q. Mei, and C. Zhai. Language model information retrieval with document expansion. In HLT-NAACL, 2006.
20. 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, New York, NY, USA, 2006. ACM Press.
21. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. A CM Transaction of Information System, 22(2):179-214, 2004.
22. D. Zhou, E. Manavoglu, J. Li, C. L. Giles, and H. Zha. Probabilistic models for discovering e-communities. In WWW '06: Proceedings of the 15th international conference on World Wide Web, pages 173-182. ACM Press, 2006.