recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms

TL;DR

recommenderlab is an open-source R package designed to support research, development, and education in recommender systems by providing a comprehensive framework for developing and testing recommendation algorithms.

Contribution

It introduces a dedicated R package that facilitates research and education in recommender systems, filling a gap in existing software tools.

Findings

Provides a flexible framework for testing algorithms

Supports educational use and research development

Eases comparison of recommendation methods

Abstract

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.