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Measuring retrieval effectiveness: A new proposal and a first experimental validation

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  • Vincenzo Della Mea
  • Stefano Mizzaro

Abstract

Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.

Suggested Citation

  • Vincenzo Della Mea & Stefano Mizzaro, 2004. "Measuring retrieval effectiveness: A new proposal and a first experimental validation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(6), pages 530-543, April.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:6:p:530-543
    DOI: 10.1002/asi.10408
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