Smart Adaptive Recommendations

'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:

  • 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.

More information

A detailed description of SAR

News

Reference manual

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install.packages("SAR")

1.0.0 by Hong Ooi, 21 days ago


https://github.com/Hong-Revo/SAR


Report a bug at https://github.com/Hong-Revo/SAR/issues


Browse source code at https://github.com/cran/SAR


Authors: Hong Ooi [aut, cre] , Microsoft Product Recommendations team [ctb] (source for MS sample datasets) , Microsoft [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports AzureRMR, AzureStor, dplyr, httr, jsonlite, Matrix, R6, parallel, Rcpp, RcppParallel

Suggests testthat

Linking to Rcpp, RcppArmadillo, RcppParallel

System requirements: GNU make


See at CRAN