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CFilt: Collaborative Filtering Models for Recommendation Systems

Implements collaborative filtering methods for recommendation systems based on user-item interaction data. Supports both explicit feedback (ratings) and implicit feedback (consumption). The package uses efficient sparse matrix representations and provides incremental updates for users, items, and similarity structures through an R6 class-based architecture. See Aggarwal (2016) <doi:10.1007/978-3-319-29659-3> for an overview.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: Matrix, R6
Published: 2026-04-25
DOI: 10.32614/CRAN.package.CFilt
Author: Jessica Kubrusly ORCID iD [aut, cre], Thiago Lima [ctb], Lucas Oliveira [ctb], Caio Salviano [ctb]
Maintainer: Jessica Kubrusly <jessicakubrusly at id.uff.br>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: CFilt results

Documentation:

Reference manual: CFilt.html , CFilt.pdf

Downloads:

Package source: CFilt_1.0.0.tar.gz
Windows binaries: r-devel: CFilt_1.0.0.zip, r-release: CFilt_1.0.0.zip, r-oldrel: CFilt_1.0.0.zip
macOS binaries: r-release (arm64): CFilt_1.0.0.tgz, r-oldrel (arm64): CFilt_1.0.0.tgz, r-release (x86_64): CFilt_1.0.0.tgz, r-oldrel (x86_64): CFilt_1.0.0.tgz
Old sources: CFilt archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.