Lab for Developing and Testing Recommender Algorithms
Overview
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.
- Made
irlbaandrecosystemoptional dependencies. SVD and LIBMF now give an installation hint when their required package is missing. - Fixed mailto in vignette.
- Added getting-started guide.
- Fixed spelling and grammar in package.
- Switched to testthat edition 3 and added tests for rating matrices, recommendations, prediction accuracy, and evaluation.
Bugfixes
- Fixed real rating matrix evaluation splits so each user has the requested number of known and withheld ratings.
- Fixed cross-validation fold assignment when the number of users is not divisible by the number of folds.
From NEWS.md in the release
Install
Health
- OK13 OK2026-10-07
- NOTE12 OK, 2 NOTE2026-04-10
- ERROR12 OK, 1 NOTE, 1 ERROR2026-04-09
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 25
- Examples that run
- 94%16 run in a plain check · 1 never run
- Exported functions with examples
- 83%
- Documented parameters
- 100%
- Return-value docs
- 83%
- Help pages citing references
- 24%
Downloads
Repository
- PRs merged (all time)
- 77%
- Median days to close, 50 most recently updated closed issues
- 2
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Releases over time
Commits over time
5 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/mhahsler/recommenderlab on 2026-10-21.
GitHub Pages site last deployed 2026-10-05 · The repository has a site deploy workflow
pkgdown site last built 2026-10-05
Dependencies
Installing recommenderlab adds 5 packages (3 with compiled code, 2.3 MB of source tarballs). Heaviest: arules 1.8 MB, matrixStats 207 KB, registry 167 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 3.0.3Latest
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
Show 35 earlier eventsHide 35 earlier events
- 2.14.1
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- 2.13.02011-02-27 · diff ↗
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- 2.10.0
- 1.1.02026-10-05 · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-04 20:43 UTC, so it stayed less than the time between readings. - 1.0.72025-05-31 · diff ↗
- 1.0.62023-09-20 · diff ↗
- 1.0.52023-09-17 · diff ↗
- 1.0.42023-06-21 · diff ↗
- 1.0.32023-01-21 · diff ↗
- 1.0.22022-08-17 · diff ↗
- 1.0.12022-06-17 · diff ↗
- 1.0.02022-05-28 · diff ↗
- 0.2-72021-02-27 · diff ↗
- 0.2-6
- 0.2-52019-08-27 · diff ↗
- 0.2-42019-03-23 · diff ↗
- 0.2-32018-06-20 · diff ↗
- 0.2-22017-04-06 · diff ↗
- 0.2-12016-09-17 · diff ↗
- 0.2-0
- 0.1-9
- 0.1-8
- 0.1-72015-07-24 · diff ↗
- 0.1-62015-07-02 · diff ↗
- 0.1-52014-08-18 · diff ↗
- 0.1-42014-01-13 · diff ↗
- 0.1-32011-11-10 · diff ↗
- 0.1-22011-02-27 · diff ↗
- 0.1-02010-01-23
- RR 2.9.0 released · 2009-04-17
Package metadata
- First published
- 2009-09-11
- Total releases
- 30 / 17 yrs
- License
- GPL-2 OSI
- Copyright
- (C) Michael Hahsler
- Minimum R
- ≥ 4.5.0
- Bundled data
- 1.1 MB / 4 files
- Download size
- 1.8 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("recommenderlab")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.