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Recommender systems

Make article recommendations to users of the IBM Watson Studio platform based on user interactions with the site. Three kinds of recommenders are explored.

  • Rank based
  • User-User based collaborative filtering
  • Matrix factorization

For a sample run, clone the repository, open the ibm-recommendations folder and type python Recommendations_with_IBM.py.

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Explore different recommenders for suggesting articles for users.

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