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A prerequisite knowledge graph of 1590 learning concepts across 8subjects. Track what you've mastered and see exactly what you're ready to learn next — the topics whose prerequisites you've already met. Built on the Marble Open Skill Taxonomy.

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Recommendation Systems and Filter Bubbles

Computing · Artificial Intelligence · conceptual

How recommendation systems work: YouTube, Netflix, and shop websites track what you click and find patterns; filter bubbles; the difference between helpful suggestions and manipulation

What mastery looks like

  • Explain how YouTube or Netflix decides what to suggest next
  • Describe what a 'filter bubble' is (only seeing things similar to what you already like)
  • Give one benefit and one risk of recommendation systems

Check your understanding

Does Recommendation Systems and Filter Bubbles understand why YouTube keeps suggesting similar videos to ones they've watched, and could they explain how the recommendation system works?