mirage

Collaborative querying through a hybrid query clustering approach

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Collaborative querying through a hybrid query clustering approach

Show simple item record

dc.contributor.author Fu, Lin
dc.contributor.author Goh, Dion Hoe-Lian
dc.contributor.author Foo, Schubert Shou Boon
dc.contributor.author Na, Jin Cheon
dc.date.accessioned 2009-03-09T04:32:18Z
dc.date.available 2009-03-09T04:32:18Z
dc.date.copyright 2003
dc.date.issued 2009-03-09T04:32:18Z
dc.identifier.citation Fu, L., Goh, H. L., Foo, S. B., & Na, J. C. (2003). Collaborative querying through a hybrid query clustering approach. Conference on Asian Digital Libraries (6th:2003:Malaysia)
dc.identifier.uri http://hdl.handle.net/10220/4508
dc.description.abstract Harnessing previously issued queries to facilitate collaborative querying is an approach that can help users in digital libraries and other information systems better meet their information needs. Here, the kernel step is to identify and cluster similar queries by mining the query logs. However because of the short lengths of queries, it is relatively difficult to cluster queries effectively using on the terms used since they cannot convey enough information. This paper introduces a hybrid method to cluster queries by utilizing both the query terms and the results returned to queries. Experiments show that this method outperforms existing query clustering techniques.
dc.format.extent 14 p.
dc.language.iso en
dc.rights The original publication is available at www.springerlink.com
dc.subject DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
dc.title Collaborative querying through a hybrid query clustering approach
dc.type Conference Paper
dc.contributor.conference Conference on Asian Digital Libraries (6th : 2003 : Malaysia)
dc.contributor.school Wee Kim Wee School of Communication and Information
dc.identifier.openurl http://springerlink.com.ezlibproxy1.ntu.edu.sg/content/gmrc0l86v1fbuk4g/?p=4a3ca23b63d548de8d03111128796190&pi=4
dc.description.version Accepted version

Files in this item

Files Size Format View
2003-collaborative-querying-icadl.pdf 175.5Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

Statistics

Total views

All Items Views
Collaborative querying through a hybrid query clustering approach 509

Total downloads

All Bitstreams Views
2003-collaborative-querying-icadl.pdf 290

Top country downloads

Country Code Views
United States of America 116
Singapore 66
China 60
Russian Federation 6
Germany 5

Top city downloads

city Views
Singapore 66
Mountain View 59
Beijing 35
Redmond 9
Bellevue 7

Downloads / month

  2014-05 2014-06 2014-07 total
2003-collaborative-querying-icadl.pdf 0 0 2 2