Aladdine47

🎬 matrix-factorization-recommender - Your Personalized Movie Suggestions

🚀 Getting Started

Welcome to the matrix-factorization-recommender! This application helps you find movie recommendations tailored just for you. It uses movies you already like to help suggest new ones. Whether you’re a casual watcher or a movie buff, this tool can enhance your viewing experience.

📥 Download & Install

To get started, visit the page below to download the application:

Once you’re on the Releases page, look for the latest version and download it to your computer. Here’s how:

1. Click the link above or go to this page.
2. Locate the latest version of the application.
3. Click the download link for your operating system (Windows, macOS, or Linux).
4. Save the file to a location you can easily access, like your desktop.

💻 System Requirements

Before running the application, ensure your computer meets these requirements:

• Operating System: Windows 10 or later, macOS 10.13 or later, or a recent version of Linux
• Minimum RAM: 4 GB
• Python: Version 3.7 or later
• NumPy: Version 1.19 or later (will be installed automatically)

📂 Running the Application

Once the download finishes, follow these steps to run the application:

1. Navigate to the folder where you saved the file.
2. Extract the files if they are in a zip format.
3. Open a terminal or command prompt.
4. Navigate to the directory containing the extracted files.

5. Run the command provided in the README file for your operating system. This may look like:

   python recommender.py
   

6. Follow any prompts in the terminal to input your movie preferences.

📊 Features

• Personalized Recommendations: Receive tailored movie suggestions based on your viewing history.
• Easy Setup: Quick installation process with clear step-by-step instructions.
• Custom Implementation: Built from scratch using NumPy, ensuring lightweight and efficient performance.
• No External Frameworks: Pure Python code without relying on complex machine learning libraries.

📖 Usage Instructions

After running the application, you can start using it to discover new movies:

1. Input your favorite movies when prompted.
2. The application will analyze your preferences.
3. A list of recommended movies will appear on your screen.
4. Explore the suggestions and enjoy your next movie night!

🐞 Troubleshooting

If you encounter issues, consider the following:

• Ensure you have Python and NumPy installed correctly.
• Double-check you downloaded the correct version for your operating system.
• Read the error messages in the terminal for specific issues.
• Reach out to the community for help if needed.

📞 Support

For further assistance, you can open an issue in the GitHub repository. This allows you to bring attention to bugs or request new features.

📆 Future Updates

Stay tuned for future updates! We aim to add new features based on feedback. This could include:

• Enhanced user interface for easier navigation.
• More advanced algorithms for improved recommendations.

🎉 Acknowledgements

Thanks for trying out the matrix-factorization-recommender. Your support and feedback make this project possible. We appreciate your interest in improving movie recommendations for everyone!

🌐 Visit the Downloads Page

To download the application, visit this page. Happy watching!