recosystem: Recommender System using Matrix Factorization
Version 0.4.1

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.

Package details

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
URL https://github.com/yixuan/recosystem
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("recosystem")

Try the recosystem package in your browser

Any scripts or data that you put into this service are public.

recosystem documentation built on May 30, 2017, 6:35 a.m.