Which recommendation system technique revolutionized e-commerce by introducing the concept of 'item-to-item collaborative filtering' and was patented by Amazon in 2001?

In today's competitive retail landscape, recommendation systems play a crucial role in driving sales and enhancing customer experience. These sophisticated algorithms analyze customer data, purchase history, and browsing patterns to suggest products that shoppers are likely to buy. From e-commerce giants to brick-and-mortar stores implementing digital solutions, the technology behind personalized recommendations continues to evolve. Test your knowledge about a groundbreaking advancement in this field!

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Matrix Factorization Algorithm
Content-Based Filtering System
The Amazon Recommendation Algorithm
Neural Collaborative Filtering