Combining multiple sources of evidence for information retrieval

This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods.

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Bibliographic Details
Main Author:	Xi, Wensi
Other Authors:	Khoo, Christopher Soo Guan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	http://hdl.handle.net/10356/2543
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2543
record_format	dspace
spelling	sg-ntu-dr.10356-25432023-03-04T00:29:34Z Combining multiple sources of evidence for information retrieval Xi, Wensi Khoo, Christopher Soo Guan School of Computer Engineering Lim, Ee Peng DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods. Master of Engineering (SCE) 2008-09-17T09:05:04Z 2008-09-17T09:05:04Z 2001 2001 Thesis http://hdl.handle.net/10356/2543 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Xi, Wensi Combining multiple sources of evidence for information retrieval
description	This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods.
author2	Khoo, Christopher Soo Guan
author_facet	Khoo, Christopher Soo Guan Xi, Wensi
format	Theses and Dissertations
author	Xi, Wensi
author_sort	Xi, Wensi
title	Combining multiple sources of evidence for information retrieval
title_short	Combining multiple sources of evidence for information retrieval
title_full	Combining multiple sources of evidence for information retrieval
title_fullStr	Combining multiple sources of evidence for information retrieval
title_full_unstemmed	Combining multiple sources of evidence for information retrieval
title_sort	combining multiple sources of evidence for information retrieval
publishDate	2008
url	http://hdl.handle.net/10356/2543
_version_	1759855164568633344

Combining multiple sources of evidence for information retrieval

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