When is the probability ranking principle suboptimal?
The probability ranking principle retrieves documents in decreasing order of their predictive probabilities of relevance. Gordon and Lenk (1991) demonstrated that this principal is optimal within a signal detection—decision theory framework, and it maximizes the inquirer's expected utility for...
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Published in | Journal of the American Society for Information Science Vol. 43; no. 1; pp. 1 - 14 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Washington, D.C
Wiley Subscription Services, Inc., A Wiley Company
01.01.1992
John Wiley & Sons American Documentation Institute Wiley Periodicals Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0002-8231 1097-4571 |
DOI | 10.1002/(SICI)1097-4571(199201)43:1<1::AID-ASI1>3.0.CO;2-5 |
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Summary: | The probability ranking principle retrieves documents in decreasing order of their predictive probabilities of relevance. Gordon and Lenk (1991) demonstrated that this principal is optimal within a signal detection—decision theory framework, and it maximizes the inquirer's expected utility for relevant documents. These results hold under three conditions: calibration, independent assessment of relevance by the inquirer, and certainty about the computed probabilities of relevance. We demonstrate that the probability ranking principle can be suboptimal with respect to expected utility when one of these conditions fails to hold. © 1992 John Wiley & Sons, Inc. |
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Bibliography: | istex:214F9E4C7665D4FE5044883648EAFF8D4A734DAA ark:/67375/WNG-G7S0SHH8-1 ArticleID:ASI1 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Statistics/Data Report-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0002-8231 1097-4571 |
DOI: | 10.1002/(SICI)1097-4571(199201)43:1<1::AID-ASI1>3.0.CO;2-5 |