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:
Downloads:
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