Installation

Libraries needed to run the .ipynb file are: pandas, numpy, matplotlib. You may install them by running following command in your Jupiter notebook.

pip install 'package_name'

Project Description

In this project I am testing different techniques for making article recommendations to users of IBM Watson Studio platform. Techniques utulized are: 1-Rank-Based Recommendations 2-User Based Collaborative Filtering and 3. Matrix Factorization.

Files Description

• data :

Contains articles_community.csv and user-item-interactions.csv files used in the coding section.

• Recommendations_with_IBM.ipynb : Notebook file

Acknowledgements

Data for this project was made available by IBM Watson Studio platform.