Skip to main content

SAR prediction for use with PySpark

Project description

SARplus

Simple Algorithm for Recommendation (SAR) is a neighborhood based algorithm for personalized recommendations based on user transaction history. SAR recommends items that are most similar to the ones that the user already has an existing affinity for. Two items are similar if the users that interacted with one item are also likely to have interacted with the other. A user has an affinity to an item if they have interacted with it in the past.

SARplus is an efficient implementation of this algorithm for Spark. More details can be found at sarplus@microsoft/recommenders.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysarplus-0.6.6.tar.gz (9.8 kB view hashes)

Uploaded source

Built Distributions

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page