Selective relevance feedback using term characteristics

Ian Ruthven, Mounia Lalmas, T. Aparac (Editor), T. Saracevic (Editor), P. Ingwersen (Editor), P. Vakkari (Editor)

Research output: Contribution to conferencePaper

Abstract

This paper presents a new relevance feedback technique; selectively combining evidence based on the usage of terms within documents. By considering how terms are used within documents, we can better describe the features that might make a document relevant and thus improve retrieval effectiveness. In this paper we present an initial, experimental investigation of this technique, incorporating new and existing measures for describing the information content of a document. The results from these experiments positively support our hypothesis that extending relevance feedback to take into account how terms are used within documents can improve the performance of relevance feedback.

Conference

ConferenceProceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3)
CityDubrovnik, Croatia
Period23/05/9926/05/99

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Keywords

  • selective relevance feedback
  • information retrieval
  • searching

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Ruthven, I., Lalmas, M., Aparac, T. (Ed.), Saracevic, T. (Ed.), Ingwersen, P. (Ed.), & Vakkari, P. (Ed.) (1999). Selective relevance feedback using term characteristics. Paper presented at Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3), Dubrovnik, Croatia, .
Ruthven, Ian ; Lalmas, Mounia ; Aparac, T. (Editor) ; Saracevic, T. (Editor) ; Ingwersen, P. (Editor) ; Vakkari, P. (Editor). / Selective relevance feedback using term characteristics. Paper presented at Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3), Dubrovnik, Croatia, .13 p.
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author = "Ian Ruthven and Mounia Lalmas and T. Aparac and T. Saracevic and P. Ingwersen and P. Vakkari",
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note = "Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3) ; Conference date: 23-05-1999 Through 26-05-1999",

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Ruthven, I, Lalmas, M, Aparac, T (ed.), Saracevic, T (ed.), Ingwersen, P (ed.) & Vakkari, P (ed.) 1999, 'Selective relevance feedback using term characteristics' Paper presented at Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3), Dubrovnik, Croatia, 23/05/99 - 26/05/99, .

Selective relevance feedback using term characteristics. / Ruthven, Ian; Lalmas, Mounia; Aparac, T. (Editor); Saracevic, T. (Editor); Ingwersen, P. (Editor); Vakkari, P. (Editor).

1999. Paper presented at Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3), Dubrovnik, Croatia, .

Research output: Contribution to conferencePaper

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T1 - Selective relevance feedback using term characteristics

AU - Ruthven, Ian

AU - Lalmas, Mounia

A2 - Aparac, T.

A2 - Saracevic, T.

A2 - Ingwersen, P.

A2 - Vakkari, P.

PY - 1999/5/26

Y1 - 1999/5/26

N2 - This paper presents a new relevance feedback technique; selectively combining evidence based on the usage of terms within documents. By considering how terms are used within documents, we can better describe the features that might make a document relevant and thus improve retrieval effectiveness. In this paper we present an initial, experimental investigation of this technique, incorporating new and existing measures for describing the information content of a document. The results from these experiments positively support our hypothesis that extending relevance feedback to take into account how terms are used within documents can improve the performance of relevance feedback.

AB - This paper presents a new relevance feedback technique; selectively combining evidence based on the usage of terms within documents. By considering how terms are used within documents, we can better describe the features that might make a document relevant and thus improve retrieval effectiveness. In this paper we present an initial, experimental investigation of this technique, incorporating new and existing measures for describing the information content of a document. The results from these experiments positively support our hypothesis that extending relevance feedback to take into account how terms are used within documents can improve the performance of relevance feedback.

KW - selective relevance feedback

KW - information retrieval

KW - searching

UR - http://www.cis.strath.ac.uk/research/publications/papers/strath_cis_publication_150.pdf

M3 - Paper

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Ruthven I, Lalmas M, Aparac T, (ed.), Saracevic T, (ed.), Ingwersen P, (ed.), Vakkari P, (ed.). Selective relevance feedback using term characteristics. 1999. Paper presented at Proceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3), Dubrovnik, Croatia, .