From the course: The Data Science of Retail, Sales, and Commerce

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Recommendation engines

Recommendation engines

From the course: The Data Science of Retail, Sales, and Commerce

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Recommendation engines

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- [Instructor] Did you know that the average supermarket stocks about 40,000 different items, and that Amazon sells about 500 million different items? The choices can be overwhelming. They can cause a person to just give up and go home. But wouldn't it be great if you could personally guide your own customers to the things that they most want that will delight them, and make them want to come back? Recommendation engines can help you do that. The basic idea of a recommendation engine is to look at a few important pieces of information. So for example, what is the customer looking at right now on your website? And then also, what do you know about the customer? You have some demographic information about them. You know where they're from, you know how they typically pay for things, you know their history. You also want to know what have similar people looked at? So people who resemble your current customer in many ways, when they've looked at this item, what other sorts of things have…

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