CRAN/E | recosystem

recosystem

Recommender System using Matrix Factorization

Installation

About

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.

github.com/yixuan/recosystem
Copyright see file COPYRIGHTS
Bug report File report

Key Metrics

Version 0.5.1
R ≥ 3.3.0
Published 2023-05-05 328 days ago
Needs compilation? yes
License BSD_3_clause
License File
CRAN checks recosystem results

Downloads

Yesterday 39 0%
Last 7 days 333 -53%
Last 30 days 2.042 +50%
Last 90 days 4.458 -11%
Last 365 days 24.210 -35%

Maintainer

Maintainer

Yixuan Qiu

yixuan.qiu@cos.name

Authors

Yixuan Qiu
David Cortes
Chih-Jen Lin
Yu-Chin Juan
Wei-Sheng Chin
Yong Zhuang
Bo-Wen Yuan
Meng-Yuan Yang
other contributors. See file AUTHORS for details.

Material

README
NEWS
Reference manual
Package source

Vignettes

recosystem: Recommender System Using Parallel Matrix Factorization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

recosystem archive

Depends

R ≥ 3.3.0
methods

Imports

Rcpp ≥ 0.11.0
float

Suggests

knitr
rmarkdown
prettydoc
Matrix

LinkingTo

Rcpp
RcppProgress

Reverse Imports

autostats
recommenderlab

Reverse Suggests

cmfrec