Which retail personalization technique revolutionized Amazon's book recommendation system and became a cornerstone of their early success in the literary marketplace?

In the world of publishing and bookselling, personalization algorithms have transformed how readers discover new titles. Major bookstores and online retailers now use sophisticated systems to recommend books based on past purchases and browsing behavior. But how well do you understand the technology driving these literary recommendations? Test your knowledge about the algorithms that help connect readers with their next favorite book!

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Collaborative filtering, which recommends books based on purchase patterns of similar customers
Sentiment analysis, which recommends books based on emotional reactions detected in reader reviews
Contextual bandits, which optimize book recommendations through real-time A/B testing
Content-based filtering, which analyzes the text of books to match similar writing styles