HenrikVarmer/aruleRec: Easy and fast Recommendations With Association Rule Learning in R

The aruleRec function takes a dataframe as input in tidy (long) format with one observation (customer-item pair) per row. This data.frame must contain two columns: a customer ID and a product ID. The data.frame and column names must be provided as arguments to the function, along with the hyperparameters for association rule mining: confidence, support, minlen, and maxlen..

Getting started

Package details

Maintainer
License
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("HenrikVarmer/aruleRec")
HenrikVarmer/aruleRec documentation built on Sept. 8, 2020, 10:39 a.m.