Microblog Retrieval Using Ensemble of Feature Sets through Supervised Feature Selection

Author:

CHY Abu Nowshed1,ULLAH Md Zia1,AONO Masaki1

Affiliation:

1. Department of Computer Science and Engineering, Toyohashi University of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference49 articles.

1. [1] J. Teevan, D. Ramage, and M.R. Morris, “# twittersearch: a comparison of microblog search and web search,” Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM), pp.35-44, ACM, 2011.

2. [2] I. Ounis, C. Macdonald, J. Lin, and I. Soboroff, “Overview of the trec-2011 microblog track,” Proceedings of the 20th Text REtrieval Conference (TREC), NIST, 2011.

3. [3] T. Miyanishi, K. Seki, and K. Uehara, “Combining recency and topic-dependent temporal variation for microblog search,” Advances in Information Retrieval, vol.7814, pp.331-343, Springer, 2013.

4. [4] D. Metzler and C. Cai, “Usc/isi at trec 2011: Microblog track.,” Proceedings of the 20th Text REtrieval Conference (TREC), NIST, 2011.

5. [5] F. Liang, R. Qiang, and J. Yang, “Exploiting real-time information retrieval in the microblogosphere,” Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), pp.267-276, ACM, 2012.

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