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

Description
Summary:	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.

Combining multiple sources of evidence for information retrieval

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