Query formulation with a search assistant

Authors:
Lin Fu;Dion Hoe-Lian Goh;Schubert Shou-Boon Foo;Yohan Supangat
Affiliations:
Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore
Venue:
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Year:
2004

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Abstract

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.