DSND-P3-Recommendations-with-IBM

For this project, I will build a recommendation system for IBM Watson Studio platform. I analyze the interactions that users have with articles, and make recommendations to them about new articles I think they will like.

Recommendation System

• Rank Based Recommendations
• User-User Based Collaborative Filtering
• Matrix Factorization (SVD)

File Descriptions

- Recommendations_with_IBM.ipynb 
- project_tests.py
- README.md

Built With

• IBM Cloud Pak for Data - Watson Studio • Watson Knowledge Catalog • Watson Machine Learning

Versioning

• We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Tom Ge - Fullstack egineer - github profile

License

• This project is licensed under the MIT License