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 <mhahsler at lyle.smu.edu> 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: Linking:Please use the canonical form https://CRAN.R-project.org/package=recommenderlab to link to this page.
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