Summary:
- The article discusses the author's attempt to build an educational recommendation engine similar to Netflix's recommendation system.
- The author experimented with different machine learning algorithms and data sources to create personalized recommendations for educational content.
- The article highlights the challenges and learnings involved in developing an effective educational recommendation system, such as the importance of user data, content metadata, and algorithm selection.