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Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like.

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silviaclaire/recommendations-with-IBM

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Recommendations with IBM

An article recommendation project for IBM Watson Studio's data platform.

Project Motivation

The purpose of this project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like.

Dependencies

  • python 3.7
  • jupyter notebook
  • numpy
  • pandas
  • matplotlib

Project Structures

- data/
  - articles_community.csv
  - user-item-interactions.csv
- Recommendations_with_IBM.ipynb

data/: A folder used to store user-item-interactions (main dataset) and context data of articles.

Recommendations_with_IBM.ipynb: A jupyter notebook inluding all necessary project code.

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Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like.

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