A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity and also uses MongoDB as a database which stores the user data for a semi-collaborative filtering.
Calculated accuracy using nDCG.
Some randomly selected product efficiency:
Batman killer croc takedown figures: nDCG=0.917
Star Wars Movie Heroes Yoda: nDCG=0.942
Harry Potter Hogwarts Bookmarks: nDCG=0.9406
Technology Used in this project:
- MongoDB as Databases
- Streamlit for UI