A collaborative filtering-based book recommender using the Goodbooks-10k dataset and Surprise SVD model.
- Item-based recommendations using
scikit-surprise - Flask web interface for user interaction
- Clean Bootstrap UI
# Clone the repo
git clone https://github.com/yourusername/book-recommender.git
cd book-recommender
# (Optional) Create virtualenv
python -m venv venv
venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Run app
python app.py