recommenderlab: Lab for Developing and Testing Recommender Algorithms (original) (raw)
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 |
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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 |
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 |
Documentation:
Downloads:
Reverse dependencies:
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