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2007 IEEE/ACS International Conference on Computer Systems and Applications
Mahak: A Test Collection for Evaluation of Farsi Information Retrieval Systems
Amman, Jordan
May 13-May 16
ISBN: 1-4244-1030-4
Kyumars Sheykh Esmaili, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. shesmail@ce.sharif.edu
Hassan Abolhassani, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. abolhassani@sharif.edu
Mahmood Neshati, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. neshati@ce.sharif.edu
Ehsan Behrangi, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. behrangi@ce.sharif.edu
Asreen Rostami, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. asreen@gmail.com
Mojtaba Mohammadi Nasiri, Web Intelligence Laboratory, Sharif University of Technology, Tehran, Iran. m_mohammadi@ce.sharif.ed
Currently there is no standard test collection for evaluation of Farsi information retrieval systems. In this paper we introduce Mahak, the first complete test collection generally available for evaluating Farsi information retrieval systems. We also discuss our construction process in detail. As a goal, we hope that Mahak will foster the development of Farsi information retrieval systems.
Citation:
Kyumars Sheykh Esmaili, Hassan Abolhassani, Mahmood Neshati, Ehsan Behrangi, Asreen Rostami, Mojtaba Mohammadi Nasiri, "Mahak: A Test Collection for Evaluation of Farsi Information Retrieval Systems," aiccsa, pp.639-644, 2007 IEEE/ACS International Conference on Computer Systems and Applications, 2007
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