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recosystem  

Recommender System using Matrix Factorization
View on CRAN: Click here


Download and install recosystem package within the R console
Install from CRAN:
install.packages("recosystem")

Install from Github:
library("remotes")
install_github("cran/recosystem")

Install by package version:
library("remotes")
install_version("recosystem", "0.5.1")



Attach the package and use:
library("recosystem")
Maintained by
Yixuan Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-22
Latest Update: 2023-05-05
Description:
R wrapper of the 'libmf' library 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.
How to cite:
Yixuan Qiu (2014). recosystem: Recommender System using Matrix Factorization. R package version 0.5.1, https://cran.r-project.org/web/packages/recosystem. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2.4 (2014-09-22 14:52), 0.2.5 (2015-02-08 00:55), 0.3 (2015-05-30 08:01), 0.4.1 (2017-03-21 07:51), 0.4.2 (2017-09-02 08:23), 0.4.3 (2020-05-18 06:50), 0.4.4 (2021-01-10 06:10), 0.4.5 (2021-05-14 16:20), 0.4 (2016-07-13 19:42), 0.5 (2021-09-19 15:00)
Other packages that cited recosystem R package
View recosystem citation profile
Other R packages that recosystem depends, imports, suggests or enhances
Complete documentation for recosystem
Functions, R codes and Examples using the recosystem R package
Some associated functions: Reco . data_source . output . output_format . predict . train . tune . 
Some associated R codes: DataSource.R . Output.R . RecoModel.R . RecoSys.R .  Full recosystem package functions and examples
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