recosystem: Recommender System using Matrix Factorization

R wrapper of the 'libmf' library (http://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.

Install the latest version of this package by entering the following in R:
install.packages("recosystem")
AuthorYixuan Qiu, 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.
Date of publication2017-03-21 06:51:12 UTC
MaintainerYixuan Qiu <yixuan.qiu@cos.name>
LicenseBSD_3_clause + file LICENSE
Version0.4.1
https://github.com/yixuan/recosystem

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Files

inst
inst/NEWS.Rd
inst/AUTHORS
inst/COPYRIGHTS
inst/dat
inst/dat/smalltrain.txt
inst/dat/smalltest.txt
inst/doc
inst/doc/introduction.R
inst/doc/introduction.html
inst/doc/introduction.Rmd
src
src/Makevars
src/reco-train.cpp
src/reco-tune.cpp
src/reco-read-data.cpp
src/reco-output.cpp
src/register_routines.h
src/mf.cpp
src/mf.h
src/register_routines.c
src/reco-read-data.h
src/reco-utils.h
src/reco-predict.cpp
src/Makevars.win
NAMESPACE
R
R/DataSource.R R/Output.R R/RecoModel.R R/RecoSys.R
vignettes
vignettes/introduction.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/tune.Rd man/output_format.Rd man/data_source.Rd man/predict.Rd man/train.Rd man/output.Rd man/Reco.Rd
LICENSE

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