Provides a research infrastructure to test and develop recommender algorithms including UBCF, IBCF, FunkSVD and association rule-based algorithms.

Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>

Author(s): Michael Hahsler*, Bregt Vereet*

Install package and any missing dependencies by running this line in your R console:

install.packages("recommenderlab")

Depends R (>= 2.10.0), Matrix, arules, proxy, registry
Imports methods, utils, stats, irlba
Suggests ROCR, testthat
Enhances
Linking to
Reverse
depends
recommenderlabBX, recommenderlabJester
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package recommenderlab
Materials
URL http://lyle.smu.edu/IDA/recommenderlab/
Task Views
Version 0.2-2
Published 2017-04-05
License GPL-2
BugReports https://github.com/mhahsler/recommenderlab
SystemRequirements
NeedsCompilation no
Citation
CRAN checks recommenderlab check results
Package source recommenderlab_0.2-2.tar.gz