A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques
The ineffectiveness of information retrieval systems often caused by the inaccurate use of keywords in a query. In order to solve the ineffectiveness problem in information retrieval systems, many solutions have been proposed over the years. The most common techniques are revolving around query mo...
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ump-106632019-10-30T03:35:28Z http://umpir.ump.edu.my/id/eprint/10663/ A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques Ooi, Jessie Hongwu, Qin Ma, Xiuqin Siau-Chuin, Liew Q Science (General) QA76 Computer software The ineffectiveness of information retrieval systems often caused by the inaccurate use of keywords in a query. In order to solve the ineffectiveness problem in information retrieval systems, many solutions have been proposed over the years. The most common techniques are revolving around query modification techniques such as query expansion, query refinement, etc. Due to the high similarity in these query modification techniques, people are often confused about their differences. However, few existing survey papers compare their differences. Hence, in this paper, we first briefly discuss the basic technique of query expansion, query suggestion and query refinement, and then make a detailed comparison between these three techniques. We finally show the promising future research trend in the field of query modification. 2015-08 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10663/1/A%20Survey%20of%20Query%20Expansion%2C%20Query%20Suggestion%20and.pdf Ooi, Jessie and Hongwu, Qin and Ma, Xiuqin and Siau-Chuin, Liew (2015) A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS 2015), 19-21 August 2015 , Kuantan, Pahang. pp. 1-7.. ISBN 978-1-4673-6722-6 http://dx.doi.org/10.1109/ICSECS.2015.7333094 |
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English |
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Q Science (General) QA76 Computer software |
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Q Science (General) QA76 Computer software Ooi, Jessie Hongwu, Qin Ma, Xiuqin Siau-Chuin, Liew A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
description |
The ineffectiveness of information retrieval systems
often caused by the inaccurate use of keywords in a query. In order to solve the ineffectiveness problem in information
retrieval systems, many solutions have been proposed over the years. The most common techniques are revolving around query modification techniques such as query expansion, query
refinement, etc. Due to the high similarity in these query
modification techniques, people are often confused about their differences. However, few existing survey papers compare their differences. Hence, in this paper, we first briefly discuss the basic technique of query expansion, query suggestion and query refinement, and then make a detailed comparison between these three techniques. We finally show the promising future research trend in the field of query modification. |
format |
Conference or Workshop Item |
author |
Ooi, Jessie Hongwu, Qin Ma, Xiuqin Siau-Chuin, Liew |
author_facet |
Ooi, Jessie Hongwu, Qin Ma, Xiuqin Siau-Chuin, Liew |
author_sort |
Ooi, Jessie |
title |
A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
title_short |
A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
title_full |
A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
title_fullStr |
A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
title_full_unstemmed |
A Survey of Query Expansion, Query Suggestion and Query Refinement Techniques |
title_sort |
survey of query expansion, query suggestion and query refinement techniques |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/10663/ http://umpir.ump.edu.my/id/eprint/10663/ http://umpir.ump.edu.my/id/eprint/10663/1/A%20Survey%20of%20Query%20Expansion%2C%20Query%20Suggestion%20and.pdf |
first_indexed |
2023-09-18T22:10:31Z |
last_indexed |
2023-09-18T22:10:31Z |
_version_ |
1777414996037206016 |