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

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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.
Original languageEnglish
Number of pages13
Publication statusPublished - 26 May 1999
EventProceedings of the Third International Conference on Conceptions of Library and Information Science (CoLIS 3) - Dubrovnik, Croatia
Duration: 23 May 199926 May 1999

Conference

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

Keywords

  • selective relevance feedback
  • information retrieval
  • searching

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