recosystem: Recommender System using Matrix Factorization

R wrapper of the 'libmf' library <https://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: 0.5.1
Depends: R (≥ 3.3.0), methods
Imports: Rcpp (≥ 0.11.0), float
LinkingTo: Rcpp, RcppProgress
Published: 2023年05月05日
Author: Yixuan Qiu, David Cortes, 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>
License: BSD_3_clause + file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: recosystem results

Documentation:

Reference manual: recosystem.html , recosystem.pdf

Downloads:

Windows binaries: r-devel: recosystem_0.5.1.zip, r-release: recosystem_0.5.1.zip, r-oldrel: recosystem_0.5.1.zip
macOS binaries: r-release (arm64): recosystem_0.5.1.tgz, r-oldrel (arm64): recosystem_0.5.1.tgz, r-release (x86_64): recosystem_0.5.1.tgz, r-oldrel (x86_64): recosystem_0.5.1.tgz

Reverse dependencies:

Reverse imports: autostats, recommenderlab
Reverse suggests: cmfrec

Linking:

Please use the canonical form https://CRAN.R-project.org/package=recosystem to link to this page.

AltStyle によって変換されたページ (->オリジナル) /