Other packages > Find by keyword >

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", "1.0.7")



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: 2025-05-31
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) .
How to cite:
Michael Hahsler (2010). recommenderlab: Lab for Developing and Testing Recommender Algorithms. R package version 1.0.7, https://cran.r-project.org/web/packages/recommenderlab. Accessed 05 Mar. 2026.
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), 1.0.6 (2023-09-20 09:30)
Other packages that cited recommenderlab R package
View recommenderlab citation profile
Other R packages that recommenderlab depends, imports, suggests or enhances
Complete documentation for recommenderlab
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA