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 Suggests: knitr, rmarkdown, prettydoc, Matrix Published: 2023-05-05 DOI: 10.32614/CRAN.package.recosystem 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.Please use the canonical form https://CRAN.R-project.org/package=recosystem to link to this page.
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