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Clustering the information space using top-ranking sentences: a study of user interaction

Tombros, A. and Jose, J. and Ruthven, I. and White, R.W. (2003) Clustering the information space using top-ranking sentences: a study of user interaction. In: 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, 2003-09-01 - 2003-09-05, Zurich.

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    Abstract

    By considering sentences selected by a query-biased sentence extraction model from the top-retrieved documents, we create a personalised information space which is characterised by the presence of search terms. We cluster this information space, and enable searchers to interact with the resulting clusters. In order to examine whether users can recognise, and benefit from, the clustered organisation, we compare user interaction and performance between an actual clustering and a pseudo-clustering of the information space for completing information seeking tasks. The results provide evidence for the utility and meaningfulness of the clustered organisation.

    Item type: Conference or Workshop Item (Paper)
    ID code: 2468
    Keywords: information space, user interaction, information retrieval, clustering, Electronic computers. Computer science
    Subjects: Science > Mathematics > Electronic computers. Computer science
    Department: Faculty of Science > Computer and Information Sciences
    Faculty of Engineering > Architecture
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 24 Jan 2007
      Last modified: 23 Jul 2014 09:23
      URI: http://strathprints.strath.ac.uk/id/eprint/2468

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