Please use this identifier to cite or link to this item: https://doi.org/10.1023/B:INRT.0000048496.31867.62
Title: Information retrieval with a hybrid automatic query expansion and data fusion procedure
Authors: Xu, Y. 
Benaroch, M.
Keywords: Data fusion
Multiple queries
Relevance-feedback
Issue Date: 2005
Citation: Xu, Y., Benaroch, M. (2005). Information retrieval with a hybrid automatic query expansion and data fusion procedure. Information Retrieval 8 (1) : 41-65. ScholarBank@NUS Repository. https://doi.org/10.1023/B:INRT.0000048496.31867.62
Abstract: We propose a hybrid information retrieval (IR) procedure that builds on two well-known IR approaches: data fusion and query expansion via relevance feedback. This IR procedure is designed to exploit the strengths of data fusion and relevance feedback and to avoid some weaknesses of these approaches. We show that our IR procedure is built on postulates that can be justified analytically and empirically. Additionally, we offer an empirical investigation of the procedure, showing that it is superior to relevance feedback on some dimensions and comparable on other dimensions. The empirical investigation also verifies the conditions under which the use of our IR procedure could be beneficial. © 2005 Springer Science + Business Media, Inc.
Source Title: Information Retrieval
URI: http://scholarbank.nus.edu.sg/handle/10635/42366
ISSN: 13864564
DOI: 10.1023/B:INRT.0000048496.31867.62
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