Aim of this recommendation engine is to suggest the next article(s) to users on the IBM Watson platform. The notebook analyzes the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they will probably lik. Below you can see an example about the dashboard how the articles are displayed on the IBM Watson Platform.
This project is part of the Udacity Data Scientist Nanodegree and involves Rank based filtering, Collaborative filtering, and SVD models for recommendations.
- Exploratory Data Analysis
- Rank Based Recommendations
- User-User Based Collaborative Filtering
- Matrix Factorization
- Extras & Concluding
Thanks to IBM Watson for providing the data.