To produce the Data Visualizations, navigate to:

https://colab.research.google.com/github/kylegrantlucas/c964-movie-recommender/blob/main/visualizations/Visualizations.ipynb

You can then hit ‘run all,’ producing the expected visualizations.

To use the hosted online recommender system, navigate to:

https://nimble-cascaron-a10677.netlify.app/

There, you will see the web app frontend, where you can enter movies and interact with the application. I’d recommend some classics such as “Titanic,” “Armageddon,” “Jurassic Park” or “Anchorman.”

Running on a local environment requires the use of Docker (https://docs.docker.com/engine/install/)

• Install Docker following the above guide.

• Build the docker container.

• Open a terminal.

  • Navigate to the root directory of the c964-movie-recommender project.
  • Run the build command.

  You can build the container by running the following command in your terminal:

  docker build -t c964-movie-recommender .

• Run the Docker container.

  You can then run the container by running the following in your terminal:

  docker run -p 3000:3000 -p 5002:5002 -d c964-movie-recommender

• Navigate to the local application.

Go to http://localhost:3000 in a web browser to see the front end of the Movie Recommender application.