'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: < https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
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:
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.