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Relevance for browsing, relevance for searching

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  • David Bodoff

Abstract

The concept of relevance has received a great deal of theoretical attention. Separately, the relationship between focused search and browsing has also received extensive theoretical attention. This article aims to integrate these two literatures with a model and an empirical study that relate relevance in focused searching to relevance in browsing. Some factors affect both kinds of relevance in the same direction; others affect them in different ways. In our empirical study, we find that the latter factors dominate, so that there is actually a negative correlation between the probability of a document's relevance to a browsing user and its probability of relevance to a focused searcher.

Suggested Citation

  • David Bodoff, 2006. "Relevance for browsing, relevance for searching," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 69-86, January.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:1:p:69-86
    DOI: 10.1002/asi.20254
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    Cited by:

    1. Pierre Pluye & Roland Grad & Carol Repchinsky & Barbara Jovaisas & Janique Johnson-Lafleur & Marie-Eve Carrier & Vera Granikov & Barbara Farrell & Charo Rodriguez & Gillian Bartlett & Carmen Loiselle , 2013. "Four levels of outcomes of information-seeking: A mixed methods study in primary health care," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 108-125, January.
    2. Jin Ha Lee, 2010. "Analysis of user needs and information features in natural language queries seeking music information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 1025-1045, May.
    3. Xiaoli Huang & Dagobert Soergel, 2013. "Relevance: An improved framework for explicating the notion," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 18-35, January.

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