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

A. Tombros, J. Jose, I. Ruthven, R.W. White, G.M. Rauterberg (Editor), M. Menozzi (Editor), J. Wesson (Editor)

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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.
Original languageEnglish
Pages928-931
Number of pages4
Publication statusPublished - 5 Sep 2003
Event9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003 - Zurich, Switzerland
Duration: 1 Sep 20035 Sep 2003

Conference

Conference9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003
CountrySwitzerland
CityZurich
Period1/09/035/09/03

Keywords

  • information space
  • user interaction
  • information retrieval
  • clustering

Cite this

Tombros, A., Jose, J., Ruthven, I., White, R. W., Rauterberg, G. M. (Ed.), Menozzi, M. (Ed.), & Wesson, J. (Ed.) (2003). Clustering the information space using top-ranking sentences: a study of user interaction. 928-931. Paper presented at 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, Zurich, Switzerland.