Make article recommendations to users of the IBM Watson Studio platform based on user interactions with the site. Three kinds of recommenders are explored.
- Rank based
- User-User based collaborative filtering
- Matrix factorization
For a sample run, clone the repository, open the ibm-recommendations folder and type python Recommendations_with_IBM.py
.