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:	1.0.3
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:	2020-10-07
DOI:	10.32614/CRAN.package.SAR
Author:	Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] (source for MS sample datasets), Microsoft [cph]
Maintainer:	Hong Ooi <hongooi73 at gmail.com>
BugReports:	https://github.com/hongooi73/SAR/issues
License:	MIT + file LICENSE
URL:	https://github.com/hongooi73/SAR
NeedsCompilation:	yes
SystemRequirements:	GNU make
Materials:	README NEWS
CRAN checks:	SAR results

Documentation:

Reference manual:

SAR.pdf

Downloads:

Package source:	SAR_1.0.3.tar.gz
Windows binaries:	r-devel: SAR_1.0.3.zip, r-release: SAR_1.0.3.zip, r-oldrel: SAR_1.0.3.zip
macOS binaries:	r-release (arm64): SAR_1.0.3.tgz, r-oldrel (arm64): SAR_1.0.3.tgz, r-release (x86_64): SAR_1.0.3.tgz, r-oldrel (x86_64): SAR_1.0.3.tgz
Old sources:	SAR archive

Linking:

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