# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "recommenderlab" in publications use:'
type: software
license: GPL-2.0-only
title: 'recommenderlab: Lab for Developing and Testing Recommender Algorithms'
version: 1.0.6
identifiers:
- type: doi
  value: 10.32614/CRAN.package.recommenderlab
abstract: 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) <https://doi.org/10.48550/arXiv.2205.12371>.
authors:
- family-names: Hahsler
  given-names: Michael
  email: mhahsler@lyle.smu.edu
  orcid: https://orcid.org/0000-0003-2716-1405
preferred-citation:
  type: manual
  title: 'recommenderlab: Lab for Developing and Testing Recommender Algorithms'
  authors:
  - family-names: Hahsler
    given-names: Michael
    email: mhahsler@lyle.smu.edu
    orcid: https://orcid.org/0000-0003-2716-1405
  year: '2023'
  notes: R package version 1.0.6
  url: https://github.com/mhahsler/recommenderlab
repository: https://mhahsler.r-universe.dev
repository-code: https://github.com/mhahsler/recommenderlab
commit: 7f2fc10fffe9c65cb7a019b426c35d042db204c7
url: https://github.com/mhahsler/recommenderlab
date-released: '2023-09-19'
contact:
- family-names: Hahsler
  given-names: Michael
  email: mhahsler@lyle.smu.edu
  orcid: https://orcid.org/0000-0003-2716-1405
references:
- type: generic
  title: 'recommenderlab: An R Framework for Developing and Testing Recommendation
    Algorithms'
  authors:
  - family-names: Hahsler
    given-names: Michael
    email: mhahsler@lyle.smu.edu
    orcid: https://orcid.org/0000-0003-2716-1405
  year: '2022'
  doi: 10.48550/ARXIV.2205.12371
  medium: arXiv:2205.12371 [cs.IR]
  month: '5'