recosystem: Recommender System using Matrix Factorization

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. High performance multi-core parallel computing is supported in this package.

Version: 0.4.1
Depends: R (≥ 3.3.0), methods
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: knitr, prettydoc
Published: 2017-03-21
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 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: README NEWS
CRAN checks: recosystem results

Downloads:

Reference manual: recosystem.pdf
Vignettes: recosystem: Recommender System Using Parallel Matrix Factorization
Package source: recosystem_0.4.1.tar.gz
Windows binaries: r-devel: recosystem_0.4.1.zip, r-release: recosystem_0.4.1.zip, r-oldrel: recosystem_0.3.zip
OS X Mavericks binaries: r-release: recosystem_0.4.1.tgz, r-oldrel: recosystem_0.3.tgz
Old sources: recosystem archive

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