# Making a Rec Engine With Collaborative Filtering
Most common technique used to make recommendation engines. It works by finding groups of similar users to see what items they liked to create a ranked list. The more people that use it and the more times they use it will increase it's accuracy.

## The Dataset
You'll need a set of data that includes a set of users and a set of items.