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 + file LICENSE
Copyright:	see file COPYRIGHTS
URL:	https://github.com/yixuan/recosystem
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	recosystem results

Documentation:

Reference manual:	recosystem.pdf
Vignettes:	recosystem: Recommender System Using Parallel Matrix Factorization

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:

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