SAR: 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.

Version: 1.0.0
Depends: R (≥ 3.3)
Imports: AzureRMR, AzureStor, dplyr (≥ 0.7), httr, jsonlite, Matrix, R6, parallel, Rcpp (≥ 0.12), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat
Published: 2019-02-01
Author: Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] (source for MS sample datasets), Microsoft [cph]
Maintainer: Hong Ooi <hongooi at microsoft.com>
BugReports: https://github.com/Hong-Revo/SAR/issues
License: MIT + file LICENSE
URL: https://github.com/Hong-Revo/SAR
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: SAR results

Downloads:

Reference manual: SAR.pdf
Package source: SAR_1.0.0.tar.gz
Windows binaries: r-devel: SAR_1.0.0.zip, r-release: SAR_1.0.0.zip, r-oldrel: SAR_1.0.0.zip
OS X binaries: r-release: SAR_1.0.0.tgz, r-oldrel: SAR_1.0.0.tgz

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