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:

• 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.

• 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.

A detailed description of SAR

Other SAR implementations:

• Python: Recommenders-Team/recommenders
• Spark: Microsoft/SynapseML