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On relevance distributions

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  • Wolfgang G. Stock

Abstract

There are at least three possible ways that documents are distributed by relevance: informetric (power law), inverse logistic, and dichotomous. The nature of the type of distribution has implications for the construction of relevance ranking algorithms for search engines, for automated (blind) relevance feedback, for user behavior when using Web search engines, for combining of outputs of search engines for metasearch, for topic detection and tracking, and for the methodology of evaluation of information retrieval systems.

Suggested Citation

  • Wolfgang G. Stock, 2006. "On relevance distributions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1126-1129, June.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:8:p:1126-1129
    DOI: 10.1002/asi.20359
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    Cited by:

    1. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    2. Dirk Lewandowski, 2015. "Evaluating the retrieval effectiveness of web search engines using a representative query sample," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1763-1775, September.
    3. Cinzia Daraio & Giancarlo Ruocco, 2012. "An Empirical Approach to Compare the Performance of Heterogeneous Academic Fields," DIAG Technical Reports 2012-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

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