The purpose of this demonstration 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.
CITATION STYLE
Graham, S., Min, J. K., & Wu, T. (2019). Microsoft recommenders tools to accelerate developing recommender systems. In RecSys 2019 - 13th ACM Conference on Recommender Systems (pp. 542–543). Association for Computing Machinery, Inc. https://doi.org/10.1145/3298689.3346967
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