Recommender System using Matrix Factorization R package recosystem version 0.5.1 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. Software Depends: R (>= 3.3.0), methods Imports: Rcpp (>= 0.11.0), float LinkingTo: Rcpp, RcppProgress Suggests: knitr, rmarkdown, prettydoc, Matrix Yixuan Qiu <yixuan.qiu@cos.name> Comprehensive R Archive Network (CRAN) 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. BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=recosystem/LICENSE) 2023-05-05 application/tgz https://CRAN.R-project.org/package=recosystem doi:10.32614/CRAN.package.recosystem