Recommendation System with IBM Watson

Project Overview

In this project, I analyze the interactions that users have with articles on the IBM Watson Studio platform, and recommend articles to users.

I used knowledge-based, collaborative filtering and SVD matrix factorization methods to build the recommenders.

Key Files

• Data stores the two csv input files
• Recommendations_with_IBM.ipynb includes the steps of making recommendation
• Recommendations_with_IBM.html is same as above but in html format

Acknowledgement

Thank IBM Watson Studio Platform for providing data and Udacity for the instructions and advice.