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Contexts of Relevance for Information Retrieval System Design

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Context: Nature, Impact, and Role (CoLIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3507))

Abstract

Users judge relevance in various dimensions, but systems traditionally only support matching of queries to documents or document representations on an algorithmic or topical level. We argue that systems should support users in order for them to make relevance judgements on the level of cognitive relevance, situational relevance, and socio-cognitive relevance as well. Current studies in the field of Information Retrieval and Seeking are discussed from a relevance point of view, in order to show how systems might be adapted to assist users in making multi-dimensional relevance judgements.

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Author information

Authors and Affiliations

  1. Department of Information Science, School of Information Technology, University of Pretoria, Pretoria, 2001, South Africa

    Erica Cosijn & Theo Bothma

Authors
  1. Erica Cosijn
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  2. Theo Bothma
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Strathclyde, Scotland

    Fabio Crestani

  2. Dept. of Computer and Information Sciences, University of Strathclyde, G1 1XH, Glasgow, Scotland, UK

    Ian Ruthven

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© 2005 Springer-Verlag Berlin Heidelberg

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Cosijn, E., Bothma, T. (2005). Contexts of Relevance for Information Retrieval System Design. In: Crestani, F., Ruthven, I. (eds) Context: Nature, Impact, and Role. CoLIS 2005. Lecture Notes in Computer Science, vol 3507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495222_6

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  • DOI: https://doi.org/10.1007/11495222_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26178-0

  • Online ISBN: 978-3-540-32101-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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