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: | 1.0.7 |
Depends: | R (≥ 4.5.0), Matrix, arules (≥ 1.7-11), proxy (≥ 0.4-26) |
Imports: | registry, methods, utils, stats, irlba, recosystem, matrixStats |
Suggests: | testthat |
Published: | 2025-05-31 |
DOI: | 10.32614/CRAN.package.recommenderlab |
Author: | Michael Hahsler |
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 |
NeedsCompilation: | no |
Classification/ACM: | G.4, H.2.8 |
Citation: | recommenderlab citation info |
Materials: | README, NEWS |
CRAN checks: | recommenderlab results |
Reference manual: | recommenderlab.html , recommenderlab.pdf |
Vignettes: |
An introduction to the R package recommenderlab (source, R code) |
Package source: | recommenderlab_1.0.7.tar.gz |
Windows binaries: | r-devel: recommenderlab_1.0.7.zip, r-release: recommenderlab_1.0.7.zip, r-oldrel: recommenderlab_1.0.6.zip |
macOS binaries: | r-release (arm64): recommenderlab_1.0.7.tgz, r-oldrel (arm64): recommenderlab_1.0.6.tgz, r-release (x86_64): recommenderlab_1.0.7.tgz, r-oldrel (x86_64): recommenderlab_1.0.6.tgz |
Old sources: | recommenderlab archive |
Reverse depends: | recommenderlabBX, recommenderlabJester |
Reverse imports: | vmrseq |
Reverse suggests: | cmfrec, crassmat, recometrics, RMOA |
Please use the canonical form https://CRAN.R-project.org/package=recommenderlab to link to this page.