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Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance

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  • Tefko Saracevic

Abstract

All is flux. —Plato on Knowledge in the Theaetetus (about 369 BC) 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 or so 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 in 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 relevancies. In Part III, relevance behavior and effects are synthesized using experimental and observational works that incorporated 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 III: Behavior and effects of relevance," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2126-2144, November.
  • Handle: RePEc:bla:jamist:v:58:y:2007:i:13:p:2126-2144
    DOI: 10.1002/asi.20681
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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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Tenvir Ali & Zeeshan Jhandir & Ingyu Lee & Byung-Won On & Gyu Sang Choi, 2017. "Evaluating Retrieval Effectiveness by Sustainable Rank List," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    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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