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How to Measure the Reproducibility of System-oriented IR Experiments

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 May 2020Publisher:Zenodo
Authors: Timo Breuer; Nicola Ferro; Norbert Fuhr; Maria Maistro; Tetsuya Sakai; Philipp Schaer; Ian Soboroff;

doi: 10.5281/zenodo.3856041 , 10.5281/zenodo.3856042

How to Measure the Reproducibility of System-oriented IR Experiments

Abstract

This archive contains the accompanying code, dataset and online appendix of: Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, and Ian Soboroff. 2020. How to Measure the Reproducibility of System-oriented IR Experiments. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20).

Keywords

replicability, measure, reproducibility

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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6