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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Experimental Data for "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way" at SIGIR2020

Authors: Faessler, Erik; Oleynik, Michel; Hahn, Udo;

Experimental Data for "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way" at SIGIR2020

Abstract

This deposit contains data used for the experiments reported in the paper "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way", most notably the ElasticSearch 5.4 indices used for the reported experiments. To load the indices into an ElasticSearch cluster of your own, use the restore function described in the ElasticSearch documentation. The names of the index snapshots contained here are ct1718 for the indexed ClinicalTrials data used in the TREC-PM challenges in 2017 and 2018. ct19 for the indexed ClinicalTrials data used in the TREC-PM challenge in 2019. ba1718 for the indexed PubMed data used in the TREC-PM challenges in 2017 and 2018. ba19 for the indexed PubMed data used in the TREC-PM challenge in 2019. The other file contains the original output that SMAC wrote to disc during the parameter optimization process. There are directories for the biomedical abstracts (BA) and clinical trials (ct) and for each respective 10 fold cross validation split. Those file contain the exact parameter configurations and their evalation score (the infNDCG metric was used) in live-runXX.json files. The code to these files is located in this Zenodo deposit.

This work was supported by the BMBF within the SMITH project under grant 01ZZ1803G.

Keywords

smac, experimental data, elasticsearch

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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!
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