Recommendation Systems

Lesson goals

• User and item signals
• Collaborative and content filtering
• Filter bubbles and objectives

Core idea

How platforms rank products and content for each user.

1. User and item signals: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Collaborative and content filtering: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Filter bubbles and objectives: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Recommendation Systems.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Recommendation Systems” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?