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Evaluation of a Collaborative Querying System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3652))

Abstract

We report evaluation results for a collaborative querying environment. Our results show that compared with traditional information retrieval systems, collaborative querying can lead to faster information seeking when users perform unspecified tasks.

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References

  1. Plaisant, C., Shneiderman, B., Doan, K., Bruns, T.: Interface and data architecture for query preview in networked information systems. ACM Transactions on Information Systems 17(3), 320–341 (1999)

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  2. Fu, L., Goh, D., Foo, S., Supangat, Y.: Collaborative querying for enhanced information retrieval. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 378–388. Springer, Heidelberg (2004)

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© 2005 Springer-Verlag Berlin Heidelberg

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Fu, L., Goh, D.HL., Foo, S.SB. (2005). Evaluation of a Collaborative Querying System. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_55

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  • DOI: https://doi.org/10.1007/11551362_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28767-4

  • Online ISBN: 978-3-540-31931-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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