https://github.com/aykhans/movier

Movie recommendation similar to the given movie using IMDB data.
https://github.com/aykhans/movier

cosine-similarity recommendation-system

Last synced: 7 days ago
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Movie recommendation similar to the given movie using IMDB data.

• Host: GitHub
• URL: https://github.com/aykhans/movier
• Owner: aykhans
• Created: 2023-08-06T18:48:53.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-05T21:28:07.000Z (12 days ago)
• Last Synced: 2024-11-05T22:30:06.233Z (11 days ago)
• Topics: cosine-similarity, recommendation-system
• Language: Go
• Homepage:
• Size: 51.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Movier recommends movies based on the IMDb dataset by comparing them with movies you provide.

:warning: This project is not production-ready.

## Data Source

This project uses non-commercial IMDb datasets, available at: [IMDb Datasets](https://datasets.imdbws.com/)

## How to Run

1. Rename the environment file:

   Rename `/config/postgres/.env.example` to `/config/postgres/.env`:

   ```sh

   cp ./config/postgres/.env.example ./config/postgres/.env

   ```

2. Run with Docker Compose:

   ```sh

   docker compose up

   ```

   *Downloading and extracting the datasets may take 5-10 minutes, depending on your network speed.*

3. Access the application:

   Once the setup is complete, go to [http://localhost:8080](http://localhost:8080) to access Movier.