Collaborative querying through a hybrid query clustering approach

• Main Authors: Goh, Dion Hoe-Lian, Fu, Lin, Foo, Schubert, Na, Jin-Cheon
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Conference or Workshop Item
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: https://hdl.handle.net/10356/102297; http://hdl.handle.net/10220/4508; http://springerlink.com.ezlibproxy1.ntu.edu.sg/content/gmrc0l86v1fbuk4g/?p=4a3ca23b63d548de8d03111128796190&pi=4
• Institution: Nanyang Technological University

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.