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'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 |
| 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 |
| Reference manual: | SAR.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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