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Applying statistical principles to data fusion in information retrieval

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Wu, Shengli (2009) Applying statistical principles to data fusion in information retrieval. Expert Syst. Appl., 36 (2). pp. 2997-3006. [Journal article]

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URL: http://www.sciencedirect.com/science/article/pii/S0957417408000274

DOI: doi:10.1016/j.eswa.2008.01.019

Abstract

Data fusion in information retrieval has been investigated by many researchers and quite a few data fusion methods have been proposed. However, their effect on effectiveness has not been well understood. In this paper, we apply statistical principles to data fusion and obtain some useful conclusions, which can be used as a guideline for data fusion methods. Based on that, CombSum, the linear combination methods, and the correlation methods can be justified in certain conditions. We also investigate how to improve the effectiveness of some existing data fusion methods such as CombSum and the linear combination method. Experimental results with TREC data are reported to support the conclusions.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:11633
Deposited By:Dr Shengli Wu
Deposited On:19 Dec 2011 12:01
Last Modified:19 Dec 2011 12:01

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