CRAN/E | recommenderlab

recommenderlab

Lab for Developing and Testing Recommender Algorithms

Installation

About

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.

Citation recommenderlab citation info
github.com/mhahsler/recommenderlab
Copyright (C) Michael Hahsler
Bug report File report

Key Metrics

Version 1.0.6
R ≥ 3.5.0
Published 2023-09-20 220 days ago
Needs compilation? no
License GPL-2
CRAN checks recommenderlab results

Downloads

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Maintainer

Maintainer

Michael Hahsler

mhahsler@lyle.smu.edu

Authors

Michael Hahsler

aut / cre / cph

Bregt Vereet

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

An introduction to the R package recommenderlab

Classification ACM

G.4
H.2.8

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

recommenderlab archive

Depends

R ≥ 3.5.0
Matrix
arules
proxy ≥ 0.4-26

Imports

registry
methods
utils
stats
irlba
recosystem
matrixStats

Suggests

testthat

Reverse Depends

recommenderlabBX
recommenderlabJester

Reverse Suggests

cmfrec
crassmat
recometrics
RMOA