hitruong05/movie-recommender-system repository overview

⁠🎬 Movie Recommender System

This is a Movie Recommender System built using Streamlit and Machine Learning. The app provides personalized movie recommendations based on similarity metrics. It utilizes pre-trained models and a movie dataset to suggest movies based on user preferences.

⁠📌 Features

• 🔍 Movie Search: Find movies by title.
• 🎞 Personalized Recommendations: Get movie suggestions based on similarity metrics.
• 📊 Machine Learning Model: Uses a precomputed similarity matrix for fast recommendations.
• 🌐 Streamlit Web App: Simple and interactive UI.
• 🐳 Docker Support: Run the app easily in a containerized environment.

⁠🚀 Getting Started

⁠Run with Docker

⁠Step 1: Pull the Docker Image

Download the latest version of the Docker image from Docker Hub:

docker pull hitruong05/movie-recommender-system:latest

⁠Step 2: Run the container

Start a new container and expose port 8501:

docker run -p 8501:8501 hitruong05/movie-recommender-system

⁠Step 3: Open the App in Your Browser

Once the container is running, open:

http://localhost:8501

⁠📌 About

• Author: HiTruong
• Built with: Python, Streamlit, Docker
• License: MIT
• GitHub: GitHub Repo⁠

⁠📞 Contact

If you have any questions or suggestions, feel free to reach out:

• 📧 Email: [email protected]⁠
• 🔗 LinkedIn: linkedin.com/in/hitruong⁠

⁠⭐ If you like this project, give it a star and share it! 🚀