Query formulation with a search assistant

Information overload has led to a situation where users are swamped with too much information, resulting in difficulty sifting through the material in search of relevant content. In this paper, we address this issue from the perspective of collaboration in query formulation. We describe a search ass...

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Bibliographic Details
Main Authors: Fu, Lin, Goh, Dion Hoe-Lian, Supangat, Yohan, 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/10356/91184
http://hdl.handle.net/10220/6126
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author Fu, Lin
Goh, Dion Hoe-Lian
Supangat, Yohan
Foo, Schubert
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Fu, Lin
Goh, Dion Hoe-Lian
Supangat, Yohan
Foo, Schubert
author_sort Fu, Lin
collection NTU
description Information overload has led to a situation where users are swamped with too much information, resulting in difficulty sifting through the material in search of relevant content. In this paper, we address this issue from the perspective of collaboration in query formulation. We describe a search assistant that helps users with query formulation by finding related previously submitted queries through mining query logs. The search assistant runs as a reusable software component and can be incorporated into various search engines. We report our approach to designing and implementing the software and evaluation results.
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spelling ntu-10356/911842020-03-07T12:15:48Z Query formulation with a search assistant Fu, Lin Goh, Dion Hoe-Lian Supangat, Yohan Foo, Schubert Wee Kim Wee School of Communication and Information International Conference on Asian Digital Libraries (7th : 2004 : China) DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Information overload has led to a situation where users are swamped with too much information, resulting in difficulty sifting through the material in search of relevant content. In this paper, we address this issue from the perspective of collaboration in query formulation. We describe a search assistant that helps users with query formulation by finding related previously submitted queries through mining query logs. The search assistant runs as a reusable software component and can be incorporated into various search engines. We report our approach to designing and implementing the software and evaluation results. Accepted version 2009-10-02T02:41:07Z 2019-12-06T18:01:11Z 2009-10-02T02:41:07Z 2019-12-06T18:01:11Z 2004 2004 Conference Paper Fu, L., Goh, D., Foo, S., & Supangat, Y. (2004). Query formulation with a search assistant. Proceedings of the 7th International Conference on Asian Digital Libraries ICADL 2004, (December 13-17, Shanghai, China), Lecture Notes in Computer Science 3334, 491-500. https://hdl.handle.net/10356/91184 http://hdl.handle.net/10220/6126 10.1007/b104284 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
Fu, Lin
Goh, Dion Hoe-Lian
Supangat, Yohan
Foo, Schubert
Query formulation with a search assistant
title Query formulation with a search assistant
title_full Query formulation with a search assistant
title_fullStr Query formulation with a search assistant
title_full_unstemmed Query formulation with a search assistant
title_short Query formulation with a search assistant
title_sort query formulation with a search assistant
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
url https://hdl.handle.net/10356/91184
http://hdl.handle.net/10220/6126
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