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 |
| Depends: |
R (≥ 3.3.0), methods |
| Imports: |
Rcpp (≥ 0.11.0), float |
| LinkingTo: |
Rcpp, RcppProgress |
| Suggests: |
knitr, rmarkdown, prettydoc, Matrix |
| Published: |
2021-09-19 |
| 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 LICENSE |
| Copyright: |
see file COPYRIGHTS |
| URL: |
https://github.com/yixuan/recosystem |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
recosystem results |
Documentation:
Downloads:
Reverse dependencies:
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