A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Precision prediction based on ranked list coherence
Information Retrieval
Performance prediction using spatial autocorrelation
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Improved query difficulty prediction for the web
Proceedings of the 17th ACM conference on Information and knowledge management
Estimating retrieval effectiveness using rank distributions
Proceedings of the 17th ACM conference on Information and knowledge management
On score distributions and relevance
ECIR'07 Proceedings of the 29th European conference on IR research
Improved query performance prediction using standard deviation
Proceedings of the 34th international ACM SIGIR conference on Research and development in 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
Query-performance prediction and cluster ranking: two sides of the same coin
Proceedings of the 21st ACM international conference on Information and knowledge management
Document Score Distribution Models for Query Performance Inference and Prediction
ACM Transactions on Information Systems (TOIS)
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In this paper a new Query Performance Prediction method is introduced. This method is based on the hypothesis that different score distributions appear for 'hard' and 'easy' queries. Following we propose a set of measures which try to capture the differences between both types of distributions, focusing on the dispersion degree among the scores. We have applied some variants of the classic standard deviation and have studied methods to find out the most suitable size of the ranking list for these measures. Finally, we present the results obtained performing the experiments on two different data-sets.