Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

TL;DR

This paper introduces the Microsoft Recommenders repository, an open-source toolkit designed to streamline the development of recommender systems through Python utilities and example notebooks.

Contribution

It provides a comprehensive set of tools and examples that accelerate recommender system development, filling a gap in accessible, reusable resources.

Findings

Reduces development time for recommender systems

Provides versatile Python utilities and notebooks

Facilitates experimentation across environments

Abstract

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.