1:1 Personalized Recommendations

1:1 Personalized Recommendations targets each user in your database based on their behavior and the behavior of other customers in your database.  Cortex looks at browsing behavior, purchase history, and demographic information to build patterns of user preferences.  These patterns are used to recommend items based on each user's browsing history and known demographics.

This can also be thought of as "users who like A also like B".