niladrridas / hybrid-movie-recommendation-system

A movie recommendation system that suggests films you might like based on what similar users enjoy and the details of the movies.

Hybrid Movie Recommendation System

A comprehensive movie recommendation system using collaborative filtering (SVD) and content-based filtering (TF-IDF). Provides personalized recommendations based on user preferences and item descriptions.

Features

• Collaborative Filtering using Singular Value Decomposition (SVD)
• Content-Based Filtering using TF-IDF vectorization and cosine similarity
• Hybrid Recommendations combining both collaborative and content-based approaches
• User-Friendly Outputs with real user names and movie titles

Technologies Used

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Setup and Installation

1. Clone the repository:

   git clone https://github.com/niladrridas/movieml.git
   cd movieml
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required libraries:

   pip install -r requirements.txt
   

Usage

1. Run Jupyter Notebook:

   jupyter notebook
   

2. Open the notebook:

   • Navigate to main_py.ipynb and open it.

3. Follow the steps in the notebook to:

   • Load and preprocess the data
   • Train the collaborative filtering model using SVD
   • Generate content-based recommendations
   • Combine both methods in a hybrid recommendation system
   • Evaluate the models

Project Structure

• main_py.ipynb: Jupyter Notebook containing the code and explanations
• data/: Directory to store datasets (users, movies, ratings)
• requirements.txt: List of required Python packages

Example Outputs

1. Data Loading and Preprocessing:

   

2. Collaborative Filtering with SVD:

   

3. Content-Based Filtering:

   

4. Hybrid Recommendation:

   

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Instructions to Push Repository to GitHub Using VSCode

1. Initialize Git in Your Project Directory:

   • Open your project folder in VSCode.
   • Open the terminal in VSCode (View > Terminal).
   • Initialize a new Git repository:

   git init
   

2. Add All Files to the Repository:

   git add .
   

3. Commit the Changes:

   git commit -m "Initial commit"
   

4. Create a New Repository on GitHub:

   • Go to GitHub and create a new repository. Do not initialize it with a README, .gitignore, or license (since you already have these in your local repository).

5. Add the Remote Repository URL:

   • Copy the URL of the newly created GitHub repository.
   • Add it as a remote in your local Git repository:

   git remote add origin https://github.com/niladrridas/movieml.git
   

6. Push the Local Repository to GitHub:

   git push -u origin master