Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
This work addresses the problem of time-consuming development for researchers and practitioners building recommender systems, but it is incremental as it packages existing tools rather than introducing new algorithms.
The paper introduces the Microsoft Recommenders repository, an open-source toolkit that provides Python utilities and Jupyter notebooks to streamline the development of recommender systems, aiming to reduce development time.
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.