Collaborative querying through a hybrid query clustering approach

• المؤلفون الرئيسيون: Goh, Dion Hoe-Lian, Fu, Lin, Foo, Schubert, Na, Jin-Cheon
• مؤلفون آخرون: Wee Kim Wee School of Communication and Information
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2009
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• الوصول للمادة أونلاين: 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

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.