Variations in relevance judgments and the measurement of retrieval effectiveness
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation by highly relevant documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Forming test collections with no system pooling
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Estimating average precision with incomplete and imperfect judgments
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A new rank correlation coefficient for information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
On rank correlation and the distance between rankings
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Including summaries in system evaluation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Evaluation effort, reliability and reusability in XML retrieval
Journal of the American Society for Information Science and Technology
Predicting web searcher satisfaction with existing community-based answers
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Displacement based unsupervised metric for evaluating rank aggregation
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
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This poster describes a potential problem with a relatively well used measure in Information Retrieval research: Kendall's Tau rank correlation coefficient. The coefficient is best known for its use in determining the similarity of test collections when ranking sets of retrieval runs. Threshold values for the coefficient have been defined and used in a number of published studies in information retrieval. However, this poster presents results showing that basing decisions on such thresholds is not as reliableas has been assumed.