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Open Access

Peer-reviewed

Research Article

EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

Yu Du,

Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

Affiliation EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Ales, France

https://orcid.org/0000-0002-1989-218X

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Nicolas Sutton-Charani,

Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

Affiliation EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Ales, France
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Sylvie Ranwez ,

Roles Conceptualization, Supervision, Writing – review & editing

* E-mail: sylvie.ranwez@mines-ales.fr

Affiliation EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Ales, France
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Vincent Ranwez

Roles Conceptualization, Formal analysis, Resources, Supervision, Writing – review & editing

Affiliation UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France

https://orcid.org/0000-0002-9308-7541

⨯

EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

Yu Du,
Nicolas Sutton-Charani,
Sylvie Ranwez,
Vincent Ranwez

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Published: August 9, 2021
https://doi.org/10.1371/journal.pone.0255929

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