When is the probability ranking principle suboptimal?

Journal of the American Society for Information Science

Volumn 43, Issue 1, 1992, Pages 1-14

  Gordon, Michael D ^a   Lenk, Peter ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84989551512     PISSN: 00028231     EISSN: 10974571     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4571(199201)43:1<1::AID-ASI1>3.0.CO;2-5     Document Type: Article

References (23)

1. When the most 'pertinent' document should not be retrieved—an analysis of the Swets' model
2. Information retrieval: A sequential learning process
3. Verification of forecasts expressed in terms of probability
4. Assessing probability assessors: Calibration and refinement
5. The comparison and evaluation of forecasters
6. Order effects: A study of the possible influence of presentation order on user judgements of document relevance
7. Optimum probability estimation from empirical distributions
8. Ranking large document collections by a state space search
9. A utility theoretic examination of the probability ranking principle in information retrieval
10. Dynamically updating relevance judgements in probabilistic information systems via users' feedback
11. Parameter estimation for probabilistic document retrieval models
12. On relevance, probabilistic indexing, and information retrieval
13. The elicitation of personal probabilities
14. The probability ranking principle in IR
15. Relevance weighting of search terms
16. A Bayesian approach to information retrieval