| Preference engine
| Generate recommendations using patented collaborative filtering algorithms based on users' item ratings.
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| Clickstream engine
| Generate recommendations based on users' actions as they navigate a Web site; that is, the history of user "clicks" during website visits, and the items that users view, click, and add to their shopping carts.
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| Item Affinity engine
| Generate recommendations based on the history of the user's site browsing activity. It matches a currently selected product with a second product that the user would most likely want to purchase along with the first product. For example, if a user is purchasing groceries and adds French onion soup to the shopping cart, the Item Affinity engine could recommend Gruyere cheese to go with it.
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