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IBM Article Recommendation System

Detailed analysis of the interactions that users have with articles on IBM Watson Studio platform, along with a recommendation system to users about new articles.

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Project Motivation

The objective of this project is to analyse the interactions that users have with articles on IBM Watson Studio platform, and build a recommendation system that recommend new articles to users.

File Description

The file is written in a Jupyter Notebook, and consists of the below secions:

  • Exploratory Data Analysis.
  • Rank Based Recommendations.
  • User-User Based Collaborative Filtering.
  • Matrix Factorization.
  • Conclusion.

Author

Ahmad Sherief

Copyright and License

Code is released under the MIT License.

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