论文标题
推荐LAB：开发和测试建议算法的R框架
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms
论文作者
论文摘要
根据观察到的数据创建建议的算法对在线零售商和许多其他行业具有显着的商业价值。推荐系统具有重要的研究社区，研究此类系统是大多数现代数据科学课程的一部分。尽管有大量的软件来实现建议算法，但在支持推荐的系统研究和教育方面几乎没有什么。本文介绍了为了支持研究和教育而创建的开源软件推荐图。该软件包可以直接安装在R中，也可以从https://github.com/mhahsler/recommenderlab下载。
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.
