Improved search for socially annotated data

Proceedings of the VLDB Endowment

Volumn 2, Issue 1, 2009, Pages 778-789

  Sarkas, Nikos ^a   Das, Gautam ^b   Koudas, Nick ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENCY; LARGE SCALE SYSTEMS;

COLLABORATIVE PROCESS; KEYWORD QUERIES; LARGE DATASETS; N-GRAM MODELS; OPTIMIZATION FRAMEWORK; RESOURCE RANKING; RESOURCE'S CONTENTS; SOCIAL ANNOTATIONS;

CONSTRAINED OPTIMIZATION;

EID: 79952062657     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1687627.1687715     Document Type: Article

References (26)

1. Text retrieval conference (trec). http://trec.nist.gov/.
2. S. Amer-Yahia, M. Benedikt, L. V. Lakshmanan, and J. Stoyanovich. Efficient network-aware search in collaborative tagging sites. In VLDB, 2008.
3. S. Bao, G. Xue, X. Wu, Y. Yu, B. Fei, and Z. Su. Optimizing web search using social annotations. In WWW, pages 501-510, 2007.
4. S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004.
5. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30(1-7):107-117, 1998.
6. C. Cattuto, V. Loreto, and L. Pietronero. From the Cover: Semiotic dynamics and collaborative tagging. PNAS, 104(5):1461-1464, 2007.
7. S. F. Chen and J. Goodman. An Empirical Study of Smoothing Techniques for Language Modeling. Technical Report TR-10-98, Computer Science Group, Harvard University, 1998.
8. P. A. Chirita, S. Costache, W. Nejdl, and S. Handschuh. P-tag: large scale automatic generation of personalized annotation tags for the web. In WWW, pages 845-854, 2007.
9. S. A. Golder and B. A. Huberman. Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2):198-208, 2006.
10. H. Halpin, V. Robu, and H. Shepherd. The complex dynamics of collaborative tagging. In WWW, pages 211-220, 2007.
11. P. Heymann, G. Koutrika, and H. Garcia-Molina. Can social bookmarking improve web search? In WSDM, pages 195-206, 2008.
12. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In ESWC, pages 411-426, 2006.
13. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Trend detection in folksonomies. In SAMT, pages 56-70, 2006.
14. T. Joachims. Optimizing search engines using clickthrough data. In KDD, pages 133-142, 2002.
15. T. Joshua. A bit of progress in language modeling. Computer Speech & Language, 15(4):403-434, 2001.
16. D. Jurafsky and J. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. MIT Press.
17. R. Li, S. Bao, Y. Yu, B. Fei, and Z. Su. Towards effective browsing of large scale social annotations. In WWW, pages 943-952, 2007.
18. D. Luenberger. Linear and Nonlinear Programming. Kluwer Academic Publishers, 2003.
19. C. Manning, P. Raghavan, and H. Schütze. Introduction to Information Retrieval. Cambridge University Press, 2008.
20. C. Manning and H. Schütze. Foundations of Statistical Natural Language Processing. The MIT Press, 1999.
21. D. R. H. Miller, T. Leek, and R. M. Schwartz. A hidden markov model information retrieval system. In SIGIR, pages 214-221, 1999.
22. O. Nelles. Nonlinear System Identification. Springer, 2000.
23. J. Nocedal and S.Wright. Numerical Optimization, 2nd Edition. Springer, 2006.
24. R. Fagin and A. Lotem and M. Naor. Optimal Aggregation Algorithms For Middleware. PODS, June 2001.
25. F. Song and W. B. Croft. A general language model for information retrieval. In CIKM, pages 316-321, 1999.
26. L. Xu and M. Jordan. On convergence properties of the EM algorithm for Gaussian mixtures. Neural Computation, 8(1):129-151, 1996.