SAR is a practical, rating-free collaborative filtering algorithm for recommendations. It produces explainable results, and is usable on a wide range of problems.
This package provides the following:
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An R interface to the Azure Product Recommendations service, a cloud implementation of SAR. It includes the ability to deploy the backend via the AzureRMR package, as well as a client frontend.
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A standalone R implementation of SAR, for ease of experimentation and familiarisation. The core algorithm is written in C++ and makes use of multithreading and sparse matrices for speed and efficiency.
Other SAR implementations:
- Python: Recommenders-Team/recommenders
- Spark: Microsoft/SynapseML
