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Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance

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  • Tefko Saracevic

Abstract

Relevant: Having significant and demonstrable bearing on the matter at hand.* A version of this article has been published in 2006 as a chapter in E.G. Abels & D.A. Nitecki (Eds.), Advances in Librarianship (Vol. 30, pp. 3–71). San Diego: Academic Press. (Saracevic, 2006). Relevance: The ability as of an information retrieval system to retrieve material that satisfies the needs of the user. —Merriam‐Webster Dictionary 2005 Relevance is a, if not even the, key notion in information science in general and information retrieval in particular. This two‐part critical review traces and synthesizes the scholarship on relevance over the past 30 years and provides an updated framework within which the still widely dissonant ideas and works about relevance might be interpreted and related. It is a continuation and update of a similar review that appeared in 1975 under the same title, considered here as being Part I. The present review is organized into two parts: Part II addresses the questions related to nature and manifestations of relevance, and Part III addresses questions related to relevance behavior and effects. In Part II, the nature of relevance is discussed in terms of meaning ascribed to relevance, theories used or proposed, and models that have been developed. The manifestations of relevance are classified as to several kinds of relevance that form an interdependent system of relevances. In Part III, relevance behavior and effects are synthesized using experimental and observational works that incorporate data. In both parts, each section concludes with a summary that in effect provides an interpretation and synthesis of contemporary thinking on the topic treated or suggests hypotheses for future research. Analyses of some of the major trends that shape relevance work are offered in conclusions.

Suggested Citation

  • Tefko Saracevic, 2007. "Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 1915-1933, November.
  • Handle: RePEc:bla:jamist:v:58:y:2007:i:13:p:1915-1933
    DOI: 10.1002/asi.20682
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    Cited by:

    1. Zhang, Lei & Kopak, Rick & Freund, Luanne & Rasmussen, Edie, 2011. "Making functional units functional: The role of rhetorical structure in use of scholarly journal articles," International Journal of Information Management, Elsevier, vol. 31(1), pages 21-29.
    2. Julianne Sansa-Otim & Mary Nsabagwa & Andrew Mwesigwa & Becky Faith & Mojisola Owoseni & Olayinka Osuolale & Daudi Mboma & Ben Khemis & Peter Albino & Samuel Owusu Ansah & Maureen Abla Ahiataku & Vict, 2022. "An Assessment of the Effectiveness of Weather Information Dissemination among Farmers and Policy Makers," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    3. Wayne de Fremery & Michael K. Buckland, 2022. "Context, relevance, and labor," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1268-1278, September.
    4. Michelle Berger & Ricarda Schäfer & Marco Schmidt & Christian Regal & Henner Gimpel, 2024. "How to prevent technostress at the digital workplace: a Delphi study," Journal of Business Economics, Springer, vol. 94(7), pages 1051-1113, October.
    5. Maram Hasanain & Tamer Elsayed, 2022. "Studying effectiveness of Web search for fact checking," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 738-751, May.
    6. Roland Grad & Pierre Pluye & Vera Granikov & Janique Johnson‐Lafleur & Michael Shulha & Soumya Bindiganavile Sridhar & Jonathan L. Moscovici & Gillian Bartlett & Alain C. Vandal & Bernard Marlow & Lor, 2011. "Physicians' assessment of the value of clinical information: Operationalization of a theoretical model," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1884-1891, October.
    7. Howard D. White, 2015. "Co-cited author retrieval and relevance theory: examples from the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2275-2299, March.
    8. Gineke Wiggers & Suzan Verberne & Wouter van Loon & Gerrit‐Jan Zwenne, 2023. "Bibliometric‐enhanced legal information retrieval: Combining usage and citations as flavors of impact relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(8), pages 1010-1025, August.
    9. Frans van der Sluis & Egon L. van den Broek, 2023. "Feedback beyond accuracy: Using eye‐tracking to detect comprehensibility and interest during reading," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 3-16, January.

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