recosystem: Recommender System using Matrix Factorization (original) (raw)
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. recosystem author details |
| Maintainer: | Yixuan Qiu <yixuan.qiu at cos.name> |
| BugReports: | https://github.com/yixuan/recosystem/issues |
| License: | BSD_3_clause + file |
| Copyright: | see file |
| URL: | https://github.com/yixuan/recosystem |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | recosystem results |
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