A Classification of IR Effectiveness Metrics

  • Gianluca Demartini
  • Stefano Mizzaro
Conference paper

DOI: 10.1007/11735106_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)
Cite this paper as:
Demartini G., Mizzaro S. (2006) A Classification of IR Effectiveness Metrics. In: Lalmas M., MacFarlane A., Rüger S., Tombros A., Tsikrika T., Yavlinsky A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg

Abstract

Effectiveness is a primary concern in the information retrieval (IR) field. Various metrics for IR effectiveness have been proposed in the past; we take into account all the 44 metrics we are aware of, classifying them into a two-dimensional grid. The classification is based on the notions of relevance, i.e., if (or how much) a document is relevant, and retrieval, i.e., if (how much) a document is retrieved. To our knowledge, no similar classification has been proposed so far.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gianluca Demartini
    • 1
  • Stefano Mizzaro
    • 1
  1. 1.Dept. of Mathematics and Computer ScienceUniversity of UdineUdineItaly

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