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cmfrec

Collective Matrix Factorization for Recommender Systems

v3.5.1-3 · Dec 9, 2023 · MIT + file LICENSE

Description

Collective matrix factorization (a.k.a. multi-view or multi-way factorization, Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a (potentially very sparse or having many missing values) matrix 'X' as the product of two low-dimensional matrices, optionally aided with secondary information matrices about rows and/or columns of 'X', which are also factorized using the same latent components. The intended usage is for recommender systems, dimensionality reduction, and missing value imputation. Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky, (2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model, (Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>), or the enhanced model with 'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>), with or without side information. Can use gradient-based procedures or alternating-least squares procedures (Koren, Bell, Volinsky, (2009) <doi:10.1109/MC.2009.263>), with either a Cholesky solver, a faster conjugate gradient solver (Takacs, Pilaszy, Tikk, (2011) <doi:10.1145/2043932.2043987>), or a non-negative coordinate descent solver (Franc, Hlavac, Navara, (2005) <doi:10.1007/11556121_50>), providing efficient methods for sparse and dense data, and mixtures thereof. Supports L1 and L2 regularization in the main models, offers alternative most-popular and content-based models, and implements functionality for cold-start recommendations and imputation of 2D data.

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CRAN incoming feasibility

Maintainer: ‘David Cortes <david.cortes.rivera@gmail.com>’

The Description field contains
  extensions of the original model (Cortes, (2018) <arXiv:1809.00366>)
  'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>),
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘David Cortes <david.cortes.rivera@gmail.com>’

The Description field contains
  extensions of the original model (Cortes, (2018) <arXiv:1809.00366>)
  'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>),
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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OK r-devel-windows-x86_64

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OK r-oldrel-macos-arm64

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OK r-oldrel-macos-x86_64

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OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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OK r-release-macos-arm64

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OK r-release-macos-x86_64

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OK r-release-windows-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘David Cortes <david.cortes.rivera@gmail.com>’

The Description field contains
  extensions of the original model (Cortes, (2018) <arXiv:1809.00366>)
  'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>),
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘David Cortes <david.cortes.rivera@gmail.com>’

The Description field contains
  extensions of the original model (Cortes, (2018) <arXiv:1809.00366>)
  'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>),
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies recometrics cmfrec

Version History

new 3.5.1-3 Mar 9, 2026