mlsanityData to 7 Oct 2026

Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

arXiv 2008.13528 ↗First posted 27 Aug 2020cs.IR cs.LGcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Aug 2020.

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Citing papers per year: 2022: 1; 2023: 2; 2024: 2; 2025: 5.

10 papers.