Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102297
Title: Collaborative querying through a hybrid query clustering approach
Authors: Goh, Dion Hoe-Lian
Fu, Lin
Foo, Schubert
Na, Jin-Cheon
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2003
Source: Fu, L., Goh, H. L., Foo, S., & Na, J.-C. (2003). Collaborative querying through a hybrid query clustering approach. Conference on Asian Digital Libraries (6th:2003:Malaysia)
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.
URI: https://hdl.handle.net/10356/102297
http://hdl.handle.net/10220/4508
Rights: The original publication is available at www.springerlink.com
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

Files in This Item:
File Description SizeFormat 
2003-collaborative-querying-icadl.pdf171.4 kBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.