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When information retrieval measures agree about the relative quality of document rankings

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  • Robert M. Losee

Abstract

The variety of performance measures available for information retrieval systems, search engines, and network filtering agents can be confusing to both practitioners and scholars. Most discussions about these measures address their theoretical foundations and the characteristics of a measure that make it desirable for a particular application. In this work, we consider how measures of performance at a point in a search may be formally compared. Criteria are developed that allow one to determine the percent of time or conditions under which two different performance measures suggest that one document ordering is superior to another ordering, or when the two measures disagree about the relative value of document orderings. As an example, graphs provide illustrations of the relationships between precision and F.

Suggested Citation

  • Robert M. Losee, 2000. "When information retrieval measures agree about the relative quality of document rankings," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(9), pages 834-840.
    • Handle: RePEc:bla:jamest:v:51:y:2000:i:9:p:834-840
    DOI: 10.1002/(SICI)1097-4571(2000)51:93.0.CO;2-1
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    Cited by:

    1. Kouadri, Abdelmalek & Hajji, Mansour & Harkat, Mohamed-Faouzi & Abodayeh, Kamaleldin & Mansouri, Majdi & Nounou, Hazem & Nounou, Mohamed, 2020. "Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems," Renewable Energy, Elsevier, vol. 150(C), pages 598-606.
    2. Neha Dimri & Himanshu Kaul & Daya Gupta, 2018. "MetaXplorer: an intelligent and adaptable metasearch engine using a novel ordered weighted averaging operator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1315-1325, December.

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