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 |
|---|---|
| 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  [aut, cre, cph], Bregt Vereet [ctb] |
| 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 |
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