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; M. Menozzi; J. Wesson

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 conference › Paper › peer-review

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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 language	English
Pages	928-931
Number of pages	4
Publication status	Published - 5 Sept 2003
Event	9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003 - Zurich, Switzerland Duration: 1 Sept 2003 → 5 Sept 2003

Conference

Conference	9th IFIP TC13 International Conference on Human-Computer Interaction. Interact 2003
Country/Territory	Switzerland
City	Zurich
Period	1/09/03 → 5/09/03

Keywords

information space
user interaction
information retrieval
clustering

Access to Document

strathprints002468Accepted author manuscript, 269 KB

Cite this

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title = "Clustering the information space using top-ranking sentences: a study of user interaction",

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.",

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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

M3 - Paper

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Y2 - 1 September 2003 through 5 September 2003

ER -