A survey of statistical approaches for query expansion

A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improvi...

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Main Authors:	Raza, Muhammad Ahsan, Rahmah, Mokhtar, Noraziah, Ahmad
Format:	Article
Language:	English
Published:	Springer Verlag 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf

id	ump-23272
recordtype	eprints
spelling	ump-232722019-01-11T04:21:17Z http://umpir.ump.edu.my/id/eprint/23272/ A survey of statistical approaches for query expansion Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad QA75 Electronic computers. Computer science A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improving the accuracy of information retrieval systems, through different approaches to query expansion. In this article, we primarily discuss statistical query expansion approaches that include document analysis, search and browse log analyses, and web knowledge analyses. In addition to proposing a comprehensive classification for these approaches, we also briefly analyse the pros and cons of each technique. Finally, we evaluate these techniques using five functional features and experimental settings such as TREC collection and results of performance metrics. An in-depth survey of different statistical query expansion approaches suggests that the selection of the best approach depends on the type of search query, the nature and availability of data resources, and performance efficiency requirements. Springer Verlag 2018-09-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad (2018) A survey of statistical approaches for query expansion. Knowledge and Information System. pp. 1-25. ISSN 02191377 http://doi.org/10.1007/s10115-018-1269-8 http://doi.org/10.1007/s10115-018-1269-8
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad A survey of statistical approaches for query expansion
description	A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improving the accuracy of information retrieval systems, through different approaches to query expansion. In this article, we primarily discuss statistical query expansion approaches that include document analysis, search and browse log analyses, and web knowledge analyses. In addition to proposing a comprehensive classification for these approaches, we also briefly analyse the pros and cons of each technique. Finally, we evaluate these techniques using five functional features and experimental settings such as TREC collection and results of performance metrics. An in-depth survey of different statistical query expansion approaches suggests that the selection of the best approach depends on the type of search query, the nature and availability of data resources, and performance efficiency requirements.
format	Article
author	Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad
author_facet	Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad
author_sort	Raza, Muhammad Ahsan
title	A survey of statistical approaches for query expansion
title_short	A survey of statistical approaches for query expansion
title_full	A survey of statistical approaches for query expansion
title_fullStr	A survey of statistical approaches for query expansion
title_full_unstemmed	A survey of statistical approaches for query expansion
title_sort	survey of statistical approaches for query expansion
publisher	Springer Verlag
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf
first_indexed	2023-09-18T22:34:46Z
last_indexed	2023-09-18T22:34:46Z
_version_	1777416522084384768

A survey of statistical approaches for query expansion

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