A survey in traditional information retrieval models

Dong, H; Hussain, FK; Chang, E

A survey in traditional information retrieval models

Dong, H Hussain, FK

Chang, E

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Publication Type:: Conference Proceeding
Citation:: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008, 2008, pp. 397 - 402
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Dong, H	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008, 2008, pp. 397 - 402	en_US
dc.identifier.isbn	1424414903	en_US
dc.identifier.isbn	9781424414901	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29407
dc.description.abstract	As a matter of fact, many so-called semantic search algorithms are derived from the traditional indexterm-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them. © 2008 IEEE.	en_US
dc.relation.ispartof	2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008	en_US
dc.relation.isbasedon	10.1109/DEST.2008.4635214	en_US
dc.title	A survey in traditional information retrieval models	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Phitsanulok , Thailand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

As a matter of fact, many so-called semantic search algorithms are derived from the traditional indexterm-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them. © 2008 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/29407