Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91556
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dc.contributor.authorFu, Linen
dc.contributor.authorGoh, Dion Hoe-Lianen
dc.contributor.authorSupangat, Yohanen
dc.contributor.authorFoo, Schuberten
dc.date.accessioned2010-01-04T07:09:40Zen
dc.date.accessioned2019-12-06T18:07:50Z-
dc.date.available2010-01-04T07:09:40Zen
dc.date.available2019-12-06T18:07:50Z-
dc.date.copyright2004en
dc.date.issued2004en
dc.identifier.citationFu, L., Goh, D., Foo, S., & Supangat, Y. (2004). Collaborative Querying for Enhanced Information Retrieval. Proceedings of the 8th European Conference on Digital Libraries ECDL 2004, (September 12-17, Bath, UK), Lecture Notes in Computer Science 3232, 378-388.en
dc.identifier.urihttps://hdl.handle.net/10356/91556-
dc.identifier.urihttp://hdl.handle.net/10220/6176en
dc.description.abstractCommunication and collaboration with other people is a major theme in the information seeking process. Collaborative querying addresses this issue by sharing other users’ search experiences to help users formulate appropriate queries to a search engine. This paper describes a collaborative querying system that helps users with query formulation by finding previously submitted similar queries through mining web logs. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph-based approach to visualize the query recommendations.en
dc.format.extent13 p.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen
dc.titleCollaborative querying for enhanced information retrievalen
dc.typeConference Paperen
dc.contributor.schoolWee Kim Wee School of Communication and Informationen
dc.contributor.conferenceEuropean Conference on Digital Libraries (8th : 2004 : Bath)en
dc.identifier.doi10.1007/b100389en
dc.description.versionPublished versionen
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