Evaluating the effectiveness of a collaborative querying environment

Lin Fu*, Dion Hoe Lian Goh, Schubert Shou Boon Foo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationImplementing Strategies and Sharing Experiences - 8th International Conference on Asian Digital Libraries, ICADL 2005, Proceedings
Pages342-351
Number of pages10
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event8th International Conference on Asian Digital Libraries, ICADL 2005 - Bangkok, Thailand
Duration: Dec 12 2005Dec 15 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Asian Digital Libraries, ICADL 2005
Country/TerritoryThailand
CityBangkok
Period12/12/0512/15/05

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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