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Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
August 27, 2020 Β· Declared Dead Β· π ACM Conference on Recommender Systems
"No code URL or promise found in abstract"
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Authors
Scott Graham, Jun-Ki Min, Tao Wu
arXiv ID
2008.13528
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG
Citations
26
Venue
ACM Conference on Recommender Systems
Last Checked
4 months ago
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.
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