'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: 1.0.4 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: 2025-04-12 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SAR to link to this page.
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