yassram / OrdNMF

OrdNMF paper reproducibility

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OrdNMF Reproducibility

The goal of this repository is to check the reproducibility of the results of the Ordinal Non-negative Matrix Factorization for Recommendation paper.

ML Reproducibility Challenge 2020

The primary goal of this event is to encourage the publishing and sharing of scientific results that are reliable and reproducible. In support of this, the objective of this challenge is to investigate reproducibility of papers accepted for publication at top conferences by inviting members of the community at large to select a paper, and verify the empirical results and claims in the paper by reproducing the computational experiments, either via a new implementation or using code/data or other information provided by the authors.

Journal of experimentations

Ressources

The "Ordinal Non-negative Matrix Factorization for Recommendation" paper:

The PhD thesis "Factorisation bayésienne de matrices pour le filtrage collaboratif": https://oatao.univ-toulouse.fr/25879/1/Gouvert_Olivier.pdf

  • M. OLIVIER GOUVERT

The paper's code base:

Authors:

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OrdNMF paper reproducibility


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