recosystem: Recommender System using Matrix Factorization

This package is an R wrapper of the libmf library (http://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.

Version: 0.2.4
Depends: R (≥ 3.1.0), methods
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: knitr
Published: 2014-09-22
Author: Yixuan Qiu, Chih-Jen Lin, Yu-Chin Juan, Yong Zhuang, Wei-Sheng Chin 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
SystemRequirements: C++11
Materials: NEWS
CRAN checks: recosystem results

Downloads:

Reference manual: recosystem.pdf
Vignettes: Recommender system with recosystem package
Package source: recosystem_0.2.4.tar.gz
Windows binaries: r-devel: recosystem_0.2.4.zip, r-release: recosystem_0.2.4.zip, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: recosystem_0.2.4.tgz