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|Title:||Evaluating the effectiveness of a collaborative querying environment||Authors:||Fu, Lin
Goh, Dion Hoe-Lian
|Keywords:||DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval||Issue Date:||2005||Source:||Fu, L., Goh, D., & Foo, S. (2005). Evaluating the effectiveness of a collaborative querying environment. Proceedings of the 8th International Conference on Asian Digital Libraries ICADL 2005, (December 12-15, Bangkok, Thailand), Lecture Notes in Computer Science 3815, 342-351.||Abstract:||Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In previous work, a collaborative query environment (CQE) was developed for a digital library. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. Users can explore the query clusters using a graph-based visualization system known as the Query Graph Visualizer (QGV). The purpose of this paper is to evaluate the CQE with goal of informing the usefulness and usability of such a system. Our results show that compared with traditional information retrieval systems, collaborative querying can lead to faster information seeking when users perform unspecified tasks.||URI:||https://hdl.handle.net/10356/94444
|DOI:||http://dx.doi.org/10.1007/11599517||Rights:||The original publication is available at www.springerlink.com.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||WKWSCI Conference Papers|
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