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Notebooks and examples on how to onboard and use various features of Amazon Personalize
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README.md

Amazon Personalize Samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize

Getting Started Workshop

Open the getting_started/ folder to find a CloudFormation template that will deploy all the resources you need to build your first campaign with Amazon Personalize. The notebooks provided can also serve as a template to building your own models with your own data.

This repository is cloned into the environment so you can explore the more advanced notebooks with this approach as well.

If you just want a simple walkthrough to explore later you can execute personalize_sample_notebook.ipynb, it works well inside the same Jupyter environments.

Demos and Ablation Studies with Temporal Holdout Evaluation

Open the personalize_temporal_holdout/ folder to see detailed descriptions of the following typical use cases.

Diagnostic / Data Visualization Tools

Open the diagnose/ folder to have a visualization of the key properties of your input datasets. The key components we look out for include: missing data, duplicated events, and repeated item consumptions; power-law distribution of categorical fields; temporal drift analysis for cold-start applicability; and an analysis on user-session distribution.

License Summary

This sample code is made available under a modified MIT license. See the LICENSE file.

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