Lab for Developing and Testing Recommender Algorithms [R package recommenderlab version 1.0.7]

Michael Hahsler

recommenderlab: Lab for Developing and Testing Recommender Algorithms

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年05月31日

DOI: 10.32614/CRAN.package.recommenderlab

Author: Michael Hahsler ORCID iD [aut, cre, cph], Bregt Vereet [ctb]

Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>

BugReports: https://github.com/mhahsler/recommenderlab/issues

License: GPL-2

URL: https://github.com/mhahsler/recommenderlab

NeedsCompilation: no