mhahsler/recommenderlab: Lab for Developing and Testing Recommender Algorithms

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>.

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.0.6
URL https://github.com/mhahsler/recommenderlab
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mhahsler/recommenderlab")
mhahsler/recommenderlab documentation built on March 19, 2024, 5:48 p.m.