The effect of lexical relationships on the quality of query clusters

Query clustering is a useful technique that can help users frame an optimum query to obtain relevant documents. The content-based approach to query clustering has been criticized since queries are usually very short and consist of a wide variety of keywords, making this method ineffective in finding...

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Main Authors: Goh, Dion Hoe-Lian, Ray, Chandrani Sinha, Foo, Schubert
Other Authors: Wee Kim Wee School of Communication and Information
Format: Conference Paper
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/91554
http://hdl.handle.net/10220/6111
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author Goh, Dion Hoe-Lian
Ray, Chandrani Sinha
Foo, Schubert
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Goh, Dion Hoe-Lian
Ray, Chandrani Sinha
Foo, Schubert
author_sort Goh, Dion Hoe-Lian
collection NTU
description Query clustering is a useful technique that can help users frame an optimum query to obtain relevant documents. The content-based approach to query clustering has been criticized since queries are usually very short and consist of a wide variety of keywords, making this method ineffective in finding clusters. Clustering based on similar search results URLs has also performed inadequately due to the large number of distinct URLs. Our previous work has demonstrated that a hybrid approach combining the two is effective in generating good clusters. The present study aims to extend our work by using lexical knowledge from WordNet to examine the effect on the quality of query clusters as opposed to the other approaches. Our results show that surprisingly, the use of lexical knowledge does not produce any significant improvement in the quality of query clusters, thus demonstrating the robustness of the hybrid content-based plus search results-based query clustering approach.
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spelling ntu-10356/915542020-03-07T12:15:48Z The effect of lexical relationships on the quality of query clusters Goh, Dion Hoe-Lian Ray, Chandrani Sinha Foo, Schubert Wee Kim Wee School of Communication and Information International Conference on Asian Digital Libraries (9th : 2006 : Japan) DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Query clustering is a useful technique that can help users frame an optimum query to obtain relevant documents. The content-based approach to query clustering has been criticized since queries are usually very short and consist of a wide variety of keywords, making this method ineffective in finding clusters. Clustering based on similar search results URLs has also performed inadequately due to the large number of distinct URLs. Our previous work has demonstrated that a hybrid approach combining the two is effective in generating good clusters. The present study aims to extend our work by using lexical knowledge from WordNet to examine the effect on the quality of query clusters as opposed to the other approaches. Our results show that surprisingly, the use of lexical knowledge does not produce any significant improvement in the quality of query clusters, thus demonstrating the robustness of the hybrid content-based plus search results-based query clustering approach. Accepted version 2009-10-01T06:25:56Z 2019-12-06T18:07:47Z 2009-10-01T06:25:56Z 2019-12-06T18:07:47Z 2006 2006 Conference Paper Ray, C. S., Goh, D. H. L., & Foo, S. (2006). The effect of lexical relationships on the quality of query clusters. International Conference on Asian Digital Libraries ICADL (9th:2006:Japan), Lecture Notes in Computer Science, 4312, 223-233. https://hdl.handle.net/10356/91554 http://hdl.handle.net/10220/6111 10.1007/11931584 en The original publication is available at www.springerlink.com. 11 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Goh, Dion Hoe-Lian
Ray, Chandrani Sinha
Foo, Schubert
The effect of lexical relationships on the quality of query clusters
title The effect of lexical relationships on the quality of query clusters
title_full The effect of lexical relationships on the quality of query clusters
title_fullStr The effect of lexical relationships on the quality of query clusters
title_full_unstemmed The effect of lexical relationships on the quality of query clusters
title_short The effect of lexical relationships on the quality of query clusters
title_sort effect of lexical relationships on the quality of query clusters
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
url https://hdl.handle.net/10356/91554
http://hdl.handle.net/10220/6111
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