recommenderlab: Lab for Developing and Testing Recommender Algorithms

Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.

Version:	1.1.0
Depends:	R (≥ 4.5.0), Matrix, arules (≥ 1.7-11), proxy (≥ 0.4-26)
Imports:	registry, methods, utils, stats, matrixStats
Suggests:	irlba, recosystem, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-10-05
DOI:	10.32614/CRAN.package.recommenderlab
Author:	Michael Hahsler [aut, cre, cph], Bregt Vereet [ctb]
Maintainer:	Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports:	https://github.com/mhahsler/recommenderlab/issues
License:	GPL-2
Copyright:	(C) Michael Hahsler
URL:	https://github.com/mhahsler/recommenderlab, http://michael.hahsler.net/recommenderlab/
NeedsCompilation:	no
Classification/ACM:	G.4, H.2.8
Citation:	recommenderlab citation info
Materials:	README, NEWS
CRAN checks:	recommenderlab results

Documentation:

Reference manual:	recommenderlab.html , recommenderlab.pdf
Vignettes:	Getting started with recommenderlab (source, R code) An introduction to the R package recommenderlab (source, R code)

Downloads:

Package source:	recommenderlab_1.1.0.tar.gz
Windows binaries:	r-devel: recommenderlab_1.0.7.zip, r-release: recommenderlab_1.0.7.zip, r-oldrel: recommenderlab_1.0.7.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources:	recommenderlab archive

Reverse dependencies:

Reverse depends:	recommenderlabBX, recommenderlabJester
Reverse suggests:	cmfrec, crassmat, recometrics, RMOA

Linking:

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