https://github.com/hongooi73/sar

Smart adaptive recommendations
https://github.com/hongooi73/sar

algorithm azure r recommenders

Last synced: 11 days ago
JSON representation

Smart adaptive recommendations

• Host: GitHub
• URL: https://github.com/hongooi73/sar
• Owner: hongooi73
• License: other
• Created: 2018-05-24T09:04:10.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-10-06T21:59:12.000Z (about 4 years ago)
• Last Synced: 2024-10-12T12:16:27.551Z (27 days ago)
• Topics: algorithm, azure, r, recommenders
• Language: R
• Homepage:
• Size: 343 KB
• Stars: 20
• Watchers: 1
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# SAR: Smart Adaptive Recommendations

[SAR](https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md) is a practical, rating-free collaborative filtering algorithm for recommendations. It produces explainable results, and is usable on a wide range of problems.

This package provides the following:

- An R interface to the Azure [Product Recommendations](https://github.com/Microsoft/Product-Recommendations) service, a cloud implementation of SAR. It includes the ability to deploy the backend via the [AzureRMR](https://github.com/Azure/AzureRMR) package, as well as a client frontend.

- A standalone R implementation of SAR, for ease of experimentation and familiarisation. The core algorithm is written in C++ and makes use of multithreading and sparse matrices for speed and efficiency.

## More information

[A detailed description of SAR](https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md)

Other SAR implementations:

- Python: [Microsoft/Recommenders](https://github.com/Microsoft/Recommenders)

- Spark: [Azure/mmlspark](https://github.com/Azure/mmlspark)