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)

Research output: Contribution to conferencePaper

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.

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.
Tombros, A. ; Jose, J. ; Ruthven, I. ; White, R.W. ; Rauterberg, G.M. (Editor) ; Menozzi, M. (Editor) ; Wesson, J. (Editor). / Clustering the information space using top-ranking sentences : a study of user interaction. Paper presented at 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, Zurich, Switzerland.4 p.
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author = "A. Tombros and J. Jose and I. Ruthven and R.W. White and G.M. Rauterberg and M. Menozzi and J. Wesson",
year = "2003",
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note = "9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003 ; Conference date: 01-09-2003 Through 05-09-2003",

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Tombros, A, Jose, J, Ruthven, I, White, RW, Rauterberg, GM (ed.), Menozzi, M (ed.) & Wesson, J (ed.) 2003, 'Clustering the information space using top-ranking sentences: a study of user interaction' Paper presented at 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, Zurich, Switzerland, 1/09/03 - 5/09/03, pp. 928-931.

Clustering the information space using top-ranking sentences : a study of user interaction. / Tombros, A.; Jose, J.; Ruthven, I.; White, R.W.; Rauterberg, G.M. (Editor); Menozzi, M. (Editor); Wesson, J. (Editor).

2003. 928-931 Paper presented at 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, Zurich, Switzerland.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Clustering the information space using top-ranking sentences

T2 - a study of user interaction

AU - Tombros, A.

AU - Jose, J.

AU - Ruthven, I.

AU - White, R.W.

A2 - Rauterberg, G.M.

A2 - Menozzi, M.

A2 - Wesson, J.

PY - 2003/9/5

Y1 - 2003/9/5

N2 - 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.

AB - 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.

KW - information space

KW - user interaction

KW - information retrieval

KW - clustering

UR - http://www.cis.strath.ac.uk/research/publications/papers/strath_cis_publication_147.pdf

M3 - Paper

SP - 928

EP - 931

ER -

Tombros A, Jose J, Ruthven I, White RW, Rauterberg GM, (ed.), Menozzi M, (ed.) et al. Clustering the information space using top-ranking sentences: a study of user interaction. 2003. Paper presented at 9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003, Zurich, Switzerland.