AWS Personalize Demo

This demo application is created for the intent to demostrate the AWS Personalize capabilities.

It uses a small version of the Movie Len Dataset that holds recommendation records for Movies.

The complete explanation of AWS Personalize and details about this code could be found on My Blog Post

Requirements

• Python

Installation

• Create a virtual environment for avoid problems with Python version

python3 -m venv /path/to/new/virtual/environment

• Activate the virtual environment

source /path/to/new/virtual/environment/bin/activate

• Use the package manager pip to install all the dependencies.

pip install -r requirements.txt

• Configure the AWS Credentials to access the account

export AWS_ACCESS_KEY_ID=<AWS Access Key>
export AWS_SECRET_ACCESS_KEY=<AWS Secret Key>
export AWS_DEFAULT_REGION=<AWS Default region>

Usage

• For creation of the AWS Personalize Solution Version to be used during the demo run

python personalize_demo_creator.py

• For actually using the AWS Personalize Solution Version to find out recomendation for a random user

python3 personalize_demo_executor.py

• For clean up the resources used during the demo

python3 personalize_demo_cleanup.py

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT