recosystem: Recommender System using Matrix Factorization

This package is an 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.

Version: 0.2.3
Depends: methods
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: knitr
Published: 2014-09-11
Author: Yixuan Qiu [aut, cre], Chih-Jen Lin [aut, cph] (original C++ code), Yu-Chin Juan [aut, cph] (original C++ code), Yong Zhuang [aut, cph] (original C++ code), Wei-Sheng Chin [aut, cph] (original C++ code)
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: Recommender system with recosystem package
Package source: recosystem_0.2.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: recosystem archive