doi:10.48550/arXiv.2205.12371>.">

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 ORCID iD [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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