Simulation link: https://captain785-bookrecommender-streamlit-app-mgjfvk.streamlit.app/
The method used to create a recommendation system is collaborative filtering and will use centered cosine similarity. It uses the matrix of books isbn as row and userid in columns and rating as values.
ISBN\USERID | user_1 | user_2 | ..... 1223334487 | 3 | 8 | ..... 8873122330 | 0 | 1 | ..... .. ..
git clone https://github.com/CaptaiN785/BookRecommender.git cd BookRecommender python flask_app.py