Understanding Recommendation Systems in Ecommerce Data Science

When you go to an e-commerce platform, one of the most important factors that induce you to make the actual purchase is how quickly you are able to locate the item you want to buy. One way in which this is achieved is through the recommendation systems, for example, the ‘customers who bought this item also bought…’ section on Amazon.

Let’s learn about them in detail.

Additional Reading

You can read more about recommendation systems here:

• Recommendation systems in e-commerce

• An introduction to recommendation engines

Next, you will see the different types of commonly used recommendation systems.

The two common types of recommendation algorithms that you saw are content-based filtering and collaborative filtering. You can read more about the different types of recommendation systems at this link.