Package: SAR 1.0.3
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_1.0.3.tar.gz
SAR_1.0.3.zip(r-4.5)SAR_1.0.3.zip(r-4.4)SAR_1.0.3.zip(r-4.3)
SAR_1.0.3.tgz(r-4.4-x86_64)SAR_1.0.3.tgz(r-4.4-arm64)SAR_1.0.3.tgz(r-4.3-x86_64)SAR_1.0.3.tgz(r-4.3-arm64)
SAR_1.0.3.tar.gz(r-4.5-noble)SAR_1.0.3.tar.gz(r-4.4-noble)
SAR_1.0.3.tgz(r-4.4-emscripten)SAR_1.0.3.tgz(r-4.3-emscripten)
SAR.pdf |SAR.html✨
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 4 years agofrom:9aa777f948. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 01 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 01 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 01 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 01 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 01 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 01 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 01 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 01 2024 |
Exports:az_rec_serviceitem_predictrec_endpointrec_modelsarset_sar_threadsuser_predict
Dependencies:askpassAzureAuthAzureGraphAzureRMRAzureStorclicurldplyrfansigenericsgluehttrjosejsonlitelatticelifecyclemagrittrMatrixmimeopensslpillarpkgconfigR6rappdirsRcppRcppArmadilloRcppParallelrlangsystibbletidyselectutf8uuidvctrswithrxml2
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 |
