An Investigation of the Preconditions for Effective Data Fusion in Information Retrieval: A Pilot Study

An Investigation of the Preconditions for Effective Data Fusion in Information Retrieval: A Pilot Study (1998)

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by Kwong Bor Ng , Paul P. Kantor , Kwong Bor Ng (aplab , Paul P Kantor (aplab

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Datum	Value	Source
TITLE	An Investigation of the Preconditions for Effective Data Fusion in Information Retrieval: A Pilot Study	user correction - Legacy Corrections
AUTHOR NAME	Kwong Bor Ng	user correction - Legacy Corrections
AUTHOR NAME	Paul P. Kantor	user correction - Legacy Corrections
AUTHOR NAME	Kwong Bor Ng (aplab	user correction - Legacy Corrections
AUTHOR NAME	Paul P Kantor (aplab	user correction - Legacy Corrections
ABSTRACT	Effective automation of the information retrieval task has long been an active area of research, leading to sophisticated retrieval models. With many IR schemes available, researchers have begun to investigate the benefits of combining the results of different IR schemes to improve performance. There are many successful data fusion experiments reported in IR literature, but there are also experiments in which data fusion did not work while using the same fusion rules. What is needed is a theory to tell a priori when one should use data fusion methods. We categorize different theoretical justifications of data fusion into two approaches, examine their implications, analyze some of the unsuccessful data fusion experiments, and propose two preconditions for effective data fusion: (1) The precondition of efficacy and (2) The precondition of dissimilarity. We have developed a mathematical measure (Pair-out-of-order) to measure inter-scheme dissimilarity, and have developed algorithms and co...	user correction - Legacy Corrections
YEAR	1998	user correction - Legacy Corrections
CITATIONS	24 found	ParsCit 1.0