Computing // Artificial Intelligence
Recommendation Systems and Filter Bubbles
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
Quick check
Does the learner understand why YouTube keeps suggesting similar videos to ones they've watched, and could they explain how the recommendation system works?
Ask this to see whether the topic is secure.
Topic // Mastery
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
Topic // Map
Where this fits
- RequiredMust come first
- HelpfulHelps, but not essential
Before this
2 topicsArtificial Intelligence // Ages 7 to 9
Must understand data before grasping how recommendation systems track clicks
- Patterns and ClassificationHelpful
Artificial Intelligence // Ages 7 to 9
Pattern recognition concept underpins recommendation algorithms
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Recommendation Systems and Filter Bubbles
Ages 7 to 9 // Concept
Leads to
1 topic- AI Data Collection and PrivacyRequired
Artificial Intelligence // Ages 9 to 11
Must understand recommendation systems before grasping broader data collection and privacy
Computing // Artificial Intelligence
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