SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A survey of pre-retrieval query performance predictors
Proceedings of the 17th ACM conference on Information and knowledge management
Predicting Query Performance by Query-Drift Estimation
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Standard deviation as a query hardness estimator
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Navigating the user query space
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Predicting Query Performance by Query-Drift Estimation
ACM Transactions on Information Systems (TOIS)
Predicting query performance directly from score distributions
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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
Query performance prediction for IR
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Predicting query performance for fusion-based retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Back to the roots: a probabilistic framework for query-performance prediction
Proceedings of the 21st ACM international conference on Information and knowledge management
Query-performance prediction and cluster ranking: two sides of the same coin
Proceedings of the 21st ACM international conference on Information and knowledge management
A Standard Document Score for Information Retrieval
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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Query performance prediction (QPP) is an important task in information retrieval (IR). In this paper, we (1) develop a new predictor based on the standard deviation of scores in a variable length ranked list, and (2) we show that this new predictor outperforms state-of-the-art approaches without the need for tuning.