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Measuring the likelihood property of scoring functions in general retrieval models

Bache, R. and Baillie, M. and Crestani, F. (2009) Measuring the likelihood property of scoring functions in general retrieval models. Journal of the American Society for Information Science and Technology, 60 (6). pp. 1294-1297.

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Abstract

Although retrieval systems based on probabilistic models will rank the objects (e.g., documents) being retrieved according to the probability of some matching criterion (e.g., relevance), they rarely yield an actual probability, and the scoring function is interpreted to be purely ordinal within a given retrieval task. In this brief communication, it is shown that some scoring functions possess the likelihood property, which means that the scoring function indicates the likelihood of matching when compared to other retrieval tasks, which is potentially more useful than pure ranking although it cannot be interpreted as an actual probability. This property can be detected by using two modified effectiveness measures: entire precision and entire recall.

Item type: Article
ID code: 32688
Keywords: information retrieval, probability, probabilistic models, retrieval systems, Library Science. Information Science
Subjects: Bibliography. Library Science. Information Resources > Library Science. Information Science
Department: Faculty of Science > Computer and Information Sciences
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 22 Aug 2011 14:29
Last modified: 17 Jul 2013 10:45
URI: http://strathprints.strath.ac.uk/id/eprint/32688

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