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2 cards from this section. Quick, good the night before a test.
What is item-to-item collaborative filtering?
Think about how items relate to each other.
Why is scalability important for Amazon's recommendation system?
Consider the size of Amazon's product range.
What type of filtering does Amazon primarily use for recommendations?
Focus on the relationship between items.
Does Amazon's recommendation system change as new products are added?
Think about the scalability of their system.
Design an experiment to test the effectiveness of Amazon's recommendations compared to a generic recommendation algorithm.
Think about how you'd measure users' engagement based on recommendations.
Discuss potential ethical concerns with Amazon's recommendation systems, focusing on data privacy.
Consider what users might want to know before their data is used.
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