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The LikeMinds Recommendation Engines

    Preference engine Generate recommendations using patented collaborative filtering algorithms based on users' item ratings.
    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.
    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.


    Parent topic: LikeMinds Recommendations