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A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction

arXiv (Cornell University)(2021)10.1145/3404835.3462842Source: DataRank Database

A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction is a research paper published in arXiv (Cornell University) (2021). On theSindex it has a DataRank of 0. It has been cited 17 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access17 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (5)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Jinnian Zhang ORCID,Yumeng Li ORCID,Jiancheng Li ORCID,Tanchao Zhu ORCID,Lifeng Sun ORCID

Live enrichment

PubMed:19965766

NSFC

Grant: 61936011

NIH (National Institutes of Health)

Grant: R01LM013151

National Institutes of Health

Grant: 5R01LM013151-04

Can machines be trusted? Robustification of deep learning for medical imaging

greenLicense: https://www.acm.org/publications/policies/copyright_policy#Background

repositoryhttps://arxiv.org/pdf/2105.10484

publisherhttps://dl.acm.org/doi/10.1145/3404835.3462842

publisherhttps://dl.acm.org/doi/pdf/10.1145/3404835.3462842

https://doi.org/10.1145/3404835.3462842

http://arxiv.org/pdf/2105.10484

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

FOS: Computer and information sciencesInformation Retrieval (cs.IR)Computer Science - Information Retrieval