Experiments on Average Distance Measure

  • Vincenzo Della Mea
  • Gianluca Demartini
  • Luca Di Gaspero
  • Stefano Mizzaro
Conference paper

DOI: 10.1007/11735106_49

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)
Cite this paper as:
Della Mea V., Demartini G., Di Gaspero L., Mizzaro S. (2006) Experiments on Average Distance Measure. 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

ADM (Average Distance Measure) is an IR effectiveness metric based on the assumptions of continuous relevance and retrieval. This paper presents some novel experimental results on two different test collections: TREC 8, re-assessed on 4-levels relevance judgments, and TREC 13 TeraByte collection. The results confirm that ADM correlation with standard measures is high, even when using less data, i.e., few documents.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Vincenzo Della Mea
    • 1
  • Gianluca Demartini
    • 1
  • Luca Di Gaspero
    • 2
  • Stefano Mizzaro
    • 1
  1. 1.Dept. of Mathematics and Computer Science 
  2. 2.Dept. of Electrical, Management and Mechanical EngineeringUniversity of UdineUdineItaly

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