What is a Recommendation Engine?
Explore how recommendation engines use user behavior and ratings to suggest products. Understand Pearson correlation and see how Python's NumPy helps measure these relationships to build personalized recommendations.
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What is Amazon?
On the Amazon.com website, there is an “also bought” feature, which recommends other products users might like based on their recent purchases or ratings. Amazon allows users to rate a product 1-5 stars (5 being the best) and leave a written review.
This is a very helpful tool for products like books. The algorithm suggests titles related to those that you’ve searched or bought, making you more likely to buy again. It’s helpful for the user, great for the seller, and ensures profits for Amazon. This function isn’t as successful for items not usually rated or reviewed like household products, but overall it’s part of why Amazon has become such a powerhouse. For products like books, Amazon’s competitors (like B&N, Apple, or ...