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How do you build a “People who bought this also bought that”-style recommendation engine

Collaborative Filtering

Collaborative Filtering (CF) is a method of making automatic predictions about the interests of a user by learning its preferences (or taste) based on information of his engagements with a set of available items, along with other users’ engagements with the same set of items. in other words, CF assumes that, if a person A has the same opinion as person B on some set of issues X={x1,x2,…}, then A is more likely to have B‘s opinion on a new issue y than to have the opinion of any other person that doesn’t agree with A on X.

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