Package: SAR 1.0.4
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.
Authors:
SAR_1.0.4.tar.gz
SAR_1.0.4.zip(r-4.7)SAR_1.0.4.zip(r-4.6)SAR_1.0.4.zip(r-4.5)
SAR_1.0.4.tgz(r-4.6-x86_64)SAR_1.0.4.tgz(r-4.6-arm64)SAR_1.0.4.tgz(r-4.5-x86_64)SAR_1.0.4.tgz(r-4.5-arm64)
SAR_1.0.4.tar.gz(r-4.7-arm64)SAR_1.0.4.tar.gz(r-4.7-x86_64)SAR_1.0.4.tar.gz(r-4.6-arm64)SAR_1.0.4.tar.gz(r-4.6-x86_64)
SAR_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SAR/json (API)
NEWS
| # Install 'SAR' in R: |
| install.packages('SAR', repos = c('https://hongooi73.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hongooi73/sar/issues
- ms_catalog - Sample catalog dataset
- ms_usage - Sample usage dataset
Last updated from:12d7a129ea. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 160 | ||
| linux-devel-x86_64 | NOTE | 150 | ||
| source / vignettes | OK | 186 | ||
| linux-release-arm64 | NOTE | 191 | ||
| linux-release-x86_64 | NOTE | 167 | ||
| macos-release-arm64 | NOTE | 234 | ||
| macos-release-x86_64 | NOTE | 611 | ||
| macos-oldrel-arm64 | NOTE | 203 | ||
| macos-oldrel-x86_64 | NOTE | 360 | ||
| windows-devel | NOTE | 139 | ||
| windows-release | NOTE | 182 | ||
| windows-oldrel | NOTE | 144 | ||
| wasm-release | OK | 139 |
Exports:az_rec_serviceitem_predictrec_endpointrec_modelsarset_sar_threadsuser_predict
Dependencies:askpassAzureAuthAzureGraphAzureRMRAzureStorclicurldplyrgenericsgluehttrjosejsonlitelatticelifecyclemagrittrMatrixmimeopensslpillarpkgconfigR6rappdirsRcppRcppArmadilloRcppParallelrlangsystibbletidyselectutf8uuidvctrswithrxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Azure product recommendations service class | az_rec_service |
| Create Azure recommender service | create_rec_service |
| Delete an Azure recommender service | delete_rec_service |
| Get existing Azure recommender service | get_rec_service |
| Get item-to-item recommendations from a SAR model | item_predict |
| Sample catalog dataset | ms_catalog |
| Sample usage dataset | ms_usage |
| Azure product recommendations endpoint class | rec_endpoint |
| Azure product recommendations model class | rec_model |
| Fit a SAR model | print.sar sar sar.data.frame sar.default |
| Get personalised recommendations from a SAR model | set_sar_threads user_predict |
