Package: recosystem 0.5.1

Yixuan Qiu

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.

Authors: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_0.5.1.tar.gz
recosystem_0.5.1.tar.gz(r-4.7-arm64)recosystem_0.5.1.tar.gz(r-4.7-x86_64)recosystem_0.5.1.tar.gz(r-4.6-arm64)recosystem_0.5.1.tar.gz(r-4.6-x86_64)
recosystem_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
recosystem/json (API)
NEWS

# Install 'recosystem' in R:
install.packages('recosystem', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yixuan/recosystem/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

5.17 score 1 stars 7 packages 142 scripts 741 downloads 7 exports 3 dependencies

Last updated from:47326c505f. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK143
linux-devel-x86_64OK128
source / vignettesOK200
linux-release-arm64OK152
linux-release-x86_64OK129
wasm-releaseOK113

Exports:data_filedata_matrixdata_memoryout_fileout_memoryout_nothingReco

Dependencies:floatRcppRcppProgress

recosystem: Recommender System Using Parallel Matrix Factorization

Yixuan Qiu

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 04 2026.

Last update: 2021-09-19
Started: 2014-09-03