  Algorithms that create recommendations based on observed data have
significant commercial value for online retailers and many other industries.
Recommender systems have a significant research community, and studying such
systems is part of most modern data science curricula. While there is an
abundance of software that implements recommendation algorithms, there is
little in terms of supporting recommender system research and education. This
paper describes the open-source software recommenderlab which was created with
supporting research and education in mind. The package can be directly
installed in R or downloaded from https://github.com/mhahsler/recommenderlab.
