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: | 1.0.4 |
| 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 + fileLICENSE |
| URL: | https://github.com/hongooi73/SAR |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| CRAN checks: | SAR results |
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