Generate batch personalized recommendations using Amazon Personalize

The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations

Automatic (periodic) retraining of Amazon Personalize

Pipeline for data ingestion to Amazon Personalize and user interaction history tracking

Amazon Personalize Langchain extensions to support invoking and retrieving personalized recommendations from your Amazon Personalize resources

An example using Amazon Personalize to generate recommendations for a fictional online store

Create higher-quality recommendations in your e-Commerce platform

An Amazon Personalize based recommendation engine reference implementation to provide you a fast kickstart.

Amazon Personalize (Machine Learning / Artificial Intelligence)

Customized Amazon Personalize PoC-in-a-Box materials

Rotates Amazon Personalize filters on a schedule based on dynamic templates

Under construction

DRAFT demo of past-interaction-based call routing with Amazon Connect and Amazon Personalize