A new method of weighting query terms for ad-hoc retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Employing the resolution power of search keys
Journal of the American Society for Information Science and Technology
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Using sampled data and regression to merge search engine results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Query association surrogates for Web search: Research Articles
Journal of the American Society for Information Science and Technology
Term frequency normalisation tuning for BM25 and DFR models
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Combining fields for query expansion and adaptive query expansion
Information Processing and Management: an International Journal
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A case for improved evaluation of query difficulty prediction
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Estimating query performance using class predictions
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Predicting the Usefulness of Collection Enrichment for Enterprise Search
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
A study of selective collection enrichment for enterprise search
Proceedings of the 18th ACM conference on Information and knowledge management
Effective pre-retrieval query performance prediction using similarity and variability evidence
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using coherence-based measures to predict query difficulty
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using query context models to construct topical search engines
Proceedings of the third symposium on Information interaction in context
Learning Aggregation Functions for Expert Search
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Selectively diversifying web search results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Entity ranking in Wikipedia: utilising categories, links and topic difficulty prediction
Information Retrieval
A new perspective on collection selection
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Improving social bookmark search using personalised latent variable language models
Proceedings of the fourth ACM international conference on Web search and data mining
Intent-aware search result diversification
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Query efficiency prediction for dynamic pruning
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
Predicting query performance via classification
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
An empirical study of query specificity
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Measuring the ability of score distributions to model relevance
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Using a medical thesaurus to predict query difficulty
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Keyphrase extraction through query performance prediction
Journal of Information Science
Predicting the effectiveness of keyword queries on databases
Proceedings of the 21st ACM international conference on Information and knowledge management
Playing by the rules: mining query associations to predict search performance
Proceedings of the sixth ACM international conference on Web search and data mining
Learning to combine representations for medical records search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to selectively rank patients' medical history
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Modeling dwell time to predict click-level satisfaction
Proceedings of the 7th ACM international conference on Web search and data mining
Document Score Distribution Models for Query Performance Inference and Prediction
ACM Transactions on Information Systems (TOIS)
Combining pre-retrieval query quality predictors using genetic programming
Applied Intelligence
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The prediction of query performance is an interesting and important issue in Information Retrieval (IR). Current predictors involve the use of relevance scores, which are time-consuming to compute. Therefore, current predictors are not very suitable for practical applications. In this paper, we study six predictors of query performance, which can be generated prior to the retrieval process without the use of relevance scores. As a consequence, the cost of computing these predictors is marginal. The linear and non-parametric correlations of the proposed predictors with query performance are thoroughly assessed on the Text REtrieval Conference (TREC) disk4 and disk5 (minus CR) collection with the 249 TREC topics that were used in the recent TREC2004 Robust Track. According to the results, some of the proposed predictors have significant correlation with query performance, showing that these predictors can be useful to infer query performance in practical applications.