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: | 0.4.3 |
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 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 |
Reference manual: | recosystem.pdf |
Vignettes: |
recosystem: Recommender System Using Parallel Matrix Factorization |
Package source: | recosystem_0.4.3.tar.gz |
Windows binaries: | r-devel: recosystem_0.4.3.zip, r-release: recosystem_0.4.3.zip, r-oldrel: recosystem_0.4.3.zip |
macOS binaries: | r-release: recosystem_0.4.3.tgz, r-oldrel: recosystem_0.4.3.tgz |
Old sources: | recosystem archive |
Reverse imports: | recommenderlab |
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