  The purpose of this work is to highlight the content of the Microsoft
Recommenders repository and show how it can be used to reduce the time involved
in developing recommender systems. The open source repository provides python
utilities to simplify common recommender-related data science work as well as
example Jupyter notebooks that demonstrate use of the algorithms and tools
under various environments.
