On sample sizes for non-matched-pair IR experiments
Information Processing and Management: an International Journal
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
From chemical documentation to chemoinformatics: 50 years of chemical information science
Journal of Information Science
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 test collections for adaptive information retrieval
Information Processing and Management: an International Journal
On rank correlation and the distance between rankings
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Turbo similarity searching: Effect of fingerprint and dataset on virtual-screening performance
Statistical Analysis and Data Mining
ImageCLEF: Experimental Evaluation in Visual Information Retrieval
ImageCLEF: Experimental Evaluation in Visual Information Retrieval
Similarity methods in chemoinformatics
Annual Review of Information Science and Technology
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Many different similarity measures have been described for searching chemical databases. Drawing on previous work in textual information retrieval, this paper investigates the numbers of queries that are required to make robust statements as to the relative retrieval effectiveness of different similarity measures. Experiments with the MDL Drug Data Report database suggest that much larger numbers of queries are ideally required for this purpose than has been the case in previous comparative studies in chemoinformatics.