Lab for Developing and Testing Recommender Algorithms R package recommenderlab version 1.0.7 Classification/ACM: G.4, H.2.8 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>. Software Depends: R (>= 4.5.0), Matrix, arules (>= 1.7-11), proxy (>= 0.4-26) Imports: registry, methods, utils, stats, irlba, recosystem, matrixStats Suggests: testthat Michael Hahsler <mhahsler@lyle.smu.edu> Comprehensive R Archive Network (CRAN) Michael Hahsler [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2716-1405>), Bregt Vereet [ctb] GPL-2 2025-05-31 application/tgz https://CRAN.R-project.org/package=recommenderlab doi:10.32614/CRAN.package.recommenderlab