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recosystem: Recommender System using Matrix Factorization

R wrapper of the 'libmf' library <https://www.csie.ntu.edu.tw/~cjlin/libmf/> for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include "collaborative filtering", "matrix completion", "matrix recovery", etc. High performance multi-core parallel computing is supported in this package.

Version:0.5.1
Depends:R (≥ 3.3.0), methods
Imports:Rcpp (≥ 0.11.0),float
LinkingTo:Rcpp,RcppProgress
Suggests:knitr,rmarkdown,prettydoc,Matrix
Published:2023-05-05
DOI:10.32614/CRAN.package.recosystem
Author:Yixuan Qiu, David Cortes, Chih-Jen Lin, Yu-Chin Juan, Wei-Sheng Chin, Yong Zhuang, Bo-Wen Yuan, Meng-Yuan Yang, and other contributors. See file AUTHORS for details.
recosystem author details
Maintainer:Yixuan Qiu <yixuan.qiu at cos.name>
BugReports:https://github.com/yixuan/recosystem/issues
License:BSD_3_clause + fileLICENSE
Copyright:see fileCOPYRIGHTS
URL:https://github.com/yixuan/recosystem
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:recosystem results

Documentation:

Reference manual:recosystem.html ,recosystem.pdf
Vignettes:recosystem: Recommender System Using Parallel Matrix Factorization (source,R code)

Downloads:

Package source: recosystem_0.5.1.tar.gz
Windows binaries: r-devel:recosystem_0.5.1.zip, r-release:recosystem_0.5.1.zip, r-oldrel:recosystem_0.5.1.zip
macOS binaries: r-release (arm64):recosystem_0.5.1.tgz, r-oldrel (arm64):recosystem_0.5.1.tgz, r-release (x86_64):recosystem_0.5.1.tgz, r-oldrel (x86_64):recosystem_0.5.1.tgz
Old sources: recosystem archive

Reverse dependencies:

Reverse imports:autostats,recommenderlab
Reverse suggests:cmfrec

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=recosystemto link to this page.


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