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Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

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arxiv 2008.13528 v1 pith:KFLR63ZS submitted 2020-08-27 cs.IR cs.LG

classification cs.IRcs.LG
keywords developingmicrosoftrecommenderrecommendersrepositorysystemstoolswork
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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