On sparsity and drift for effective real-time filtering in microblogs

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 419-428

  Albakour, M Dyaa ^a   Macdonald, Craig ^a   Ounis, Iadh ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Event detection; Microblogs; Real time filtering

Indexed keywords

EVENT DETECTION; FILTERING TECHNIQUE; LONG-TERM INTERESTS; MICRO-BLOGGING PLATFORMS; MICROBLOGS; REAL TIME FILTERING; RELEVANCE FEEDBACK; SHORT-TERM INTERESTS;

KNOWLEDGE MANAGEMENT;

SOCIAL NETWORKING (ONLINE);

EID: 84889569421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505709     Document Type: Conference Paper

References (31)

1. M. Albakour, C. Macdonald, I. Ounis. Identifying Local Events by Using Microblogs as Social Sensors. In Proc. of OAIR, 2013.
2. J. Allan. Incremental relevance feedback for information filtering. In Proc. of SIGIR, 1996.
3. G. Amati. Probability models for IR based on Divergence From Randomness. PhD thesis, Univ. of Glasgow, 2003.
4. G. Amati, G. Amodeo, M. Bianchi, G. Marcone, C. Gaibisso, A. Celi, C. De Nicola, and M. Flammini. FUB, IASI-CNR, UNIVAQ at TREC 2011. In Proc. of TREC, 2011.
5. N.J. Belkin, and W.B. Croft. Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM, 35(12):29-38, 1992.
6. J. Callan. Learning while filtering documents. In Proc. of SIGIR, 1998.
7. G. Cormack, J. M. G. Hidalgo, E. P. Sànz, Spam filtering for short messages. In Proc. of CIKM, 2007.
8. F. Grubb. Procedures for detecting outlying observations in samples. Technometrics, 11, 1969.
9. L. Horvàth. The maximum likelihood method for testing changes in the parameters of normal observations. Annals of statistics, 21(2), 1993.
10. L. B. Jabeur, L. Tamine, and M. Boughanem. Uprising microblogs: a bayesian network retrieval model for tweet search. In Proc. of SIGIR, 2012.
11. X. Hu, N. Sun, C. Zhang, and T.-S. Chua. Exploiting internal and external semantics for the clustering of short texts using world knowledge. In Proc. of CIKM, 2009.
12. B. Krishnamurthy, P. Gill, and M. Arlitt. A few chirps about Twitter. In Proc. of WOSN, 2008.
13. C. Macdonald and I. Ounis. Voting for candidates: adapting data fusion techniques for an expert search task. In Proc. of CIKM, 2006.
14. R. M. C. McCreadie, C, Macdonald, R, L. T. Santos and I. Ounis. University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. In Proc. of TREC, 2011.
15. I. Ounis, G. Amati, V. Plachouras, B. He, C. Macdonald, and C. Lioma. Terrier: A high performance and scalable information retrieval platform. In Proc. of OSIR at SIGIR, 2006.
16. I. Ounis, C. Macdonald, J. Lin, and I. Soboroff. Overview of the TREC-2011 Microblog Track. In Proc. of TREC, 2011.
17. S. Petrovic, M. Osborne, R. McCreadie, C. Macdonald, I. Ounis, and L. Shrimpton. Can Twitter replace Newswire for breaking news? In Proc. of ICWSM, 2013.
18. S. Robertson. Threshold setting and performance optimization in adaptive filtering. Information Retrieval 5(2):239-256, 2002.
19. S. E. Robertson and I. Soboroff. The TREC 2002 Filtering track report. In Proc. of TREC, 2002.
20. S. Robertson and H. Zaragoza. The probabilistic relevance framework: BM25 and beyond. Information Retrieval, 3(4), 2009.
21. J. Rocchio. Relevance feedback in information retrieval. In The SMART Retrieval System, 313-323, 1971.
22. T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes Twitter users: real-time event detection by social sensors. In Proc. of WWW, 2010.
23. B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas. Short text classification in Twitter to improve information filtering. In Proc. of SIGIR, 2010.
24. I. Soboroff, D. McCullough, J. Lin, C. Macdonald, I. Ounis and R. McCreadie. Evaluating real-time search over Tweets. In Proc. of ICWSM, 2012.
25. T. Wasserman. Twitter says it has 140 million users. URL: http://mashable.com/2012/03/21/twitter-has-140-million-users/, March, 2012.
26. J. Xu and W.B. Croft Query expansion using local and global document analysis. In Proc. of SIGIR, 1996.
27. Y. Yang, S. Yoo, J. Zhang, B. Kisiel. Robustness of adaptive filtering methods in a cross-benchmark evaluation. In Proc. of SIGIR, 2005.
28. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. Transactions on Information Systems, 22(2):179-214, 2004.
29. T. Zhang. Solving large scale linear prediction problems using stochastic gradient descent algorithms. In Proc. of ICML, 2004.
30. Y. Zhang. Using bayesian priors to combine classifiers for adaptive filtering. In Proc. of SIGIR, 2004.
31. A. Zubiaga, D. Spina, V. Fresno, and R. Martínez. Classifying trending topics: a typology of conversation triggers on Twitter. In Proc. of CIKM, 2011.