A probabilistic solution to the selection and fusion problem in distributed information retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
The score-distributional threshold optimization for adaptive binary classification tasks
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
On Collection Size and Retrieval Effectiveness
Information Retrieval
Where to stop reading a ranked list?: threshold optimization using truncated score distributions
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Score Distributions in Information Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Modeling the Score Distributions of Relevant and Non-relevant Documents
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Ranking List Dispersion as a Query Performance Predictor
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
A signal-to-noise approach to score normalization
Proceedings of the 18th ACM conference on Information and knowledge management
Score distribution models: assumptions, intuition, and robustness to score manipulation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Modeling information sources as integrals for effective and efficient source selection
Information Processing and Management: an International Journal
Standard deviation as a query hardness estimator
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Modeling score distributions in information retrieval
Information Retrieval
Variational bayes for modeling score distributions
Information Retrieval
WSDL term tokenization methods for IR-style Web services discovery
Science of Computer Programming
Predicting Query Performance by Query-Drift Estimation
ACM Transactions on Information Systems (TOIS)
Measuring the ability of score distributions to model relevance
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Query performance prediction based on ranking list dispersion
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Extended expectation maximization for inferring score distributions
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
On theoretically valid score distributions in information retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Investigating performance predictors using monte carlo simulation and score distribution models
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
The tipping point: F-score as a function of the number of retrieved items
Information Processing and Management: an International Journal
On the inference of average precision from score distributions
Proceedings of the 21st ACM international conference on Information and knowledge management
Modelling Score Distributions Without Actual Scores
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Document Score Distribution Models for Query Performance Inference and Prediction
ACM Transactions on Information Systems (TOIS)
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We discuss the idea of modelling the statistical distributions of scores of documents, classified as relevant or non-relevant. Various specific combinations of standard statistical distributions have been used for this purpose. Some theoretical considerations indicate problems with some of the choices of pairs of distributions. Specifically, we revisit a generalisation of the well-known inverse relationship between recall and precision: some choices of pairs of distributions violate this generalised relationship. We identify the choices and the violations, and explore some of the consequences of this theoretical view.