explaura / personalize

AWS Personalize demo

Personalize

https://docs.aws.amazon.com/personalize/latest/dg/getting-started-console.html

Overview

1. Create/import training data (datasets)
   1. Create dataset group
   2. Specify your schema which your dataset abides to
2. Create a Solution (i.e. use the dataset to train a model. A trained model is referred to as a solution)
   1. Create solution after training data has been imported successfully
   2. Choose recipe aka algorithm and data processing (manual or automatic)
3. Create a campaign (get recommendations from the solution)
   1. Specify solution
4. Get recommendations
   1. Get recommendations within console or alternatively use the getRecommendations API to get recommendations in your app

Recommendations Output