
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
An explicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair.
Key Data
Version | |
By | Outpace Systems |
Categories | |
Type | Algorithm |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
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Support Information
Spotlight Explicit Factorization 0.9
see attached example notebookAWS Infrastructure
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Refund Policy
No refunds.