In this project, we analyzed the interaction that users have with articles and built a recommender system to users using real data from the IBM Watson Studio platform.
Types of recommendations implemented in this project:
-
Knowledge Based Recommendations
-
Collaborative Filtering Based Recommendations
-
Content Based Recommendations
-
Matrix Factorization