AWS Personalize solution accelerator tutorial files #1411
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@mscwilson This is ready to be reviewed once more. |
| title: Installation and setup | ||
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| This tutorial can be executed with a AWS account and [our corresponding Colab notebook](https://colab.research.google.com/drive/19T6EICwF5nF4yrA7ftS3pE-zp9huxaYk), which utilizes our demo stores as a source of events. The rest of this tutorial guides you setting AWS Personalize with your own sources. |
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this link needs updating, it wanted me to log in for access
| In order for the AWS Personalize model to serve usable results, we need to give it some initial training on our actual store. | ||
| Out of the box Personalize will have no idea about our customers or products, let alone the relationships between them and what makes a good recommendation. | ||
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| To solve this "cold start" problem, we need to export our catalog information for AWs Personalize to read, and give it an initial training dataset of interactions for it to build a model off of. No newline at end of file |
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where are the instructions for this?
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| The recommended tracking setup relies on events from the ["Yuper Transactional" e-commerce schema](https://iglucentral.com/?q=io.snowplow.ecomm). This includes events like: |
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needs to introduce the demo app again
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| To proceed we need the following infrastructure: |
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Not exactly a full tutorial either, since most of the tutorial is in the corresponding Colab notebook.