marcogallen / amazon-personalize-samples

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

Amazon Personalize Samples

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

Getting Started with the Amazon Personalize

The getting_started/ folder contains 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.

Amazon Personalize Next Steps

The next_steps/ folder contains detailed examples of the following typical next steps in your Amazon Personalize journey. This folder contains the following advanced content:

• Core Use Cases.

  • User Personalization
  • Personalize Ranking
  • Batch Recommendations
  • Related Items

• Scalable Operations examples for your Amazon Personalize deployments

  • MLOps Step function
    • This is a project to showcase how to quickly deploy a Personalize Campaign in a fully automated fashion using AWS Step Functions. To get started navigate to the ml_ops folder and follow the README instructions.
  • MLOps Data Science SDK
    • This is a project to showcase how to quickly deploy a Personalize Campaign in a fully automated fashion using AWS Data Science SDK. To get started navigate to the ml_ops_ds_sdk folder and follow the README instructions.
  • Lambda Examples
    • This folder starts with a basic example of integrating put_events into your Personalize Campaigns by using Lambda functions processing new data from S3. To get started navigate to the lambda_examples folder and follow the README instructions.
  • Personalize Monitor
    • This project adds monitoring, alerting, a dashboard, and optimization tools for running Amazon Personalize across your AWS environments.
  • Streaming Events
    • This is a project to showcase how to quickly deploy an API Layer infront of your Amazon Personalize Campaign and your Event Tracker endpoint. To get started navigate to the streaming_events folder and follow the README instructions.

• Workshops

  • Workshops/ folder contains a list of our most current workshops:
    • POC in a Box
    • re:Invent 2019
    • Immersion Day
  • Partner Integrations
    • Explore workshops demonstrating how to use Personalize with partners such as Amplitude, Braze, Optimizely, and Segment.

• Data Science Tools

  • The data_science/ folder contains an example on how to approach visualization of the key properties of your input datasets.
    • Missing data, duplicated events, and repeated item consumptions
    • Power-law distribution of categorical fields
    • Temporal drift analysis for cold-start applicability
    • Analysis on user-session distribution

• Demos/Reference Architectures

  • Retail Demo Store
    • Sample retail web application and workshop platform demonstrating how to deliver omnichannel personalized customer experiences using Amazon Personalize.

License Summary

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