recosystem: Recommender System using Matrix Factorization

R wrapper of the 'libmf' library <> 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: 0.4.3
Depends: R (≥ 3.3.0), methods
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp, RcppProgress
Suggests: knitr, prettydoc
Published: 2020-05-18
Author: Yixuan Qiu, 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>
License: BSD_3_clause + file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: recosystem results


Reference manual: recosystem.pdf
Vignettes: recosystem: Recommender System Using Parallel Matrix Factorization
Package source: recosystem_0.4.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: recosystem_0.4.3.tgz, r-oldrel: recosystem_0.4.3.tgz
Old sources: recosystem archive

Reverse dependencies:

Reverse imports: recommenderlab


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