Effectiveness of state-of-the-art features for microblog search

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2013, Pages 914-919

  Damak, Firas ^a   Pinel Sauvagnat, Karen ^a   Cabanac, Guillaume ^a   Boughanem, Mohand ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Feature evaluation; Information retrieval; Microblog search

Indexed keywords

EFFECTIVE LEARNING; FEATURE EVALUATION; HYPERTEXTUALITY; MICRO-BLOG; MICROBLOGS; NAIVE BAYES; RELEVANT INFORMATIONS; SEARCH TASKS;

SEARCH ENGINES;

INFORMATION RETRIEVAL;

EID: 84877932303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2480362.2480537     Document Type: Conference Paper

References (14)

1. F. Damak, L. B. Jabeur, G. Cabanac, K. Pinel-Sauvagnat, L. Lechani, and M. Boughanem. IRIT at TREC Microblog 2011. In TREC'11: 20th Text Retrieval Conference. NIST, Nov. 2011.
2. Y. Duan, L. Jiang, T. Qin, M. Zhou, and H.-Y. Shum. An empirical study on learning to rank of tweets. In Proceedings of the 23rd International Conference on Computational Linguistics, COLING '10, pages 295-303, Stroudsburg, PA, USA, 2010.
3. M. A. Hall and G. Holmes. Benchmarking attribute selection techniques for discrete class data mining. IEEE Trans. on Knowl. and Data Eng., 15(6): 1437-1447, Nov. 2003.
4. M. Magnani, D. Montesi, and L. Rossi. Conversation retrieval for microblogging sites. Inf. Retr., 15(3-4): 354-372, 2012.
5. K. Massoudi, M. Tsagkias, M. de Rijke, and W. Weerkamp. Incorporating query expansion and quality indicators in searching microblog posts. In Proceedings of the 33rd European conference on Advances in information retrieval, ECIR'11, pages 362-367, Berlin, Heidelberg, 2011. Springer-Verlag.
6. D. Metzler and C. Cai. USC/ISI at TREC 2011: Microblog Track. In TREC'11: 20th Text Retrieval Conference. NIST, Nov. 2011.
7. R. Nagmoti, A. Teredesai, and M. De Cock. Ranking approaches for microblog search. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, pages 153-157, Washington, DC, USA, 2010.
8. I. Ounis, J. Lin, and I. Soboroff. Overview of the TREC-2011 Microblog Track. In TREC'11: 20th Text Retrieval Conference. NIST, 2011.
9. H. A. Sturges. The Choice of a Class Interval. Journal of the American Statistical Association, 21(153): 65-66, Mar. 1926.
10. J. Teevan, D. Ramage, and M. R. Morris. #twittersearch: a comparison of microblog search and web search. In Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pages 35-44, New York, NY, USA, 2011. ACM.
11. J. Vosecky, K. W.-T. Leung, and W. Ng. Searching for quality microblog posts: Filtering and ranking based on content analysis and implicit links. In DASFAA (1), pages 397-413, 2012.
12. S.-J. Yen and Y.-S. Lee. Under-sampling approaches for improving prediction of the minority class in an imbalanced dataset. In Intelligent Control and Automation, volume 344 of Lecture Notes in Control and Information Sciences, pages 731-740. Springer Berlin / Heidelberg, 2006.
13. Q. Yuan, G. Cong, and N. M. Thalmann. Enhancing naive bayes with various smoothing methods for short text classification. In Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pages 645-646, New York, NY, USA, 2012. ACM.
14. L. Zhao, Y. Zeng, and N. Zhong. A weighted multi-factor algorithm for microblog search. In Proceedings of the 7th international conference on Active media technology, AMT'11, pages 153-161, Berlin, Heidelberg, 2011. Springer-Verlag.