Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
Information Retrieval
2020-09-01 v1 Machine Learning
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.
Cite
@article{arxiv.2008.13528,
title = {Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems},
author = {Scott Graham and Jun-Ki Min and Tao Wu},
journal= {arXiv preprint arXiv:2008.13528},
year = {2020}
}
Comments
pages: 2; submitted to: RecSys '19