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recommenderlab  

Lab for Developing and Testing Recommender Algorithms
View on CRAN: Click here


Download and install recommenderlab package within the R console
Install from CRAN:
install.packages("recommenderlab")

Install from Github:
library("remotes")
install_github("cran/recommenderlab")

Install by package version:
library("remotes")
install_version("recommenderlab", "1.0.6")



Attach the package and use:
library("recommenderlab")
Maintained by
Michael Hahsler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-01-23
Latest Update: 2023-06-20
Description:
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>.
How to cite:
Michael Hahsler (2010). recommenderlab: Lab for Developing and Testing Recommender Algorithms. R package version 1.0.6, https://cran.r-project.org/web/packages/recommenderlab
Previous versions and publish date:
0.1-0 (2010-01-23 11:54), 0.1-2 (2011-02-27 19:25), 0.1-3 (2011-11-10 12:59), 0.1-4 (2014-01-13 16:12), 0.1-5 (2014-08-18 20:55), 0.1-6 (2015-07-02 16:07), 0.1-7 (2015-07-24 07:54), 0.1-8 (2015-12-18 06:43), 0.1-9 (2016-05-19 05:46), 0.2-0 (2016-06-01 16:00), 0.2-1 (2016-09-17 00:53), 0.2-2 (2017-04-06 00:05), 0.2-3 (2018-06-20 00:07), 0.2-4 (2019-03-23 23:40), 0.2-5 (2019-08-27 19:50), 0.2-6 (2020-06-18 01:30), 0.2-7 (2021-02-27 00:00), 1.0.0 (2022-05-28 01:50), 1.0.1 (2022-06-17 20:20), 1.0.2 (2022-08-17 21:50), 1.0.3 (2023-01-21 10:20), 1.0.4 (2023-06-21 00:00), 1.0.5 (2023-09-17 02:00)
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