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A Hierarchical Query Clustering Algorithm for Collaborative Querying

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Research and Advanced Technology for Digital Libraries (ECDL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4172))

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Abstract

In this work, a hierarchical query clustering algorithm is designed and evaluated for the collaborative querying environment. The evaluation focuses on domain specific queries to better understand whether the algorithm meets the needs of users. Experiment results show that the proposed algorithm works well to cluster queries with good precision.

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References

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  2. Fu, L., Goh, D., Foo, S.: Collaborative querying through a hybrid query clustering approach. In: Proceedings of Sixth International Conference of Asian Digital Libraries, pp. 111–122 (2003)

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  3. Fu, L., Goh, D., Foo, S.: Collaborative querying for enhanced information retrieval. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 111–122. Springer, Heidelberg (2004)

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© 2006 Springer-Verlag Berlin Heidelberg

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Fu, L., Goh, D.HL., Foo, S.SB. (2006). A Hierarchical Query Clustering Algorithm for Collaborative Querying. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_38

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  • DOI: https://doi.org/10.1007/11863878_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44636-1

  • Online ISBN: 978-3-540-44638-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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