28. A computer-implemented method for recommending items to a customer comprising: causing a display of a hub associated with a primary item on a computer display; causing a display of a plurality of nodes on the computer display, wherein each of the nodes is associated with a secondary item; determining a first quantity related to a countable event associated with the primary item and each of the secondary items during a first period of time; determining a second quantity related to the countable event during a second period of time; and wherein a characteristic of each of the nodes on the computer display is based at least in part on at least one of the first quantity or the second quantity for each of the secondary items, and wherein the countable event is an order of the secondary item following a selection of the primary item by at least one customer.
28. A computer-implemented method for recommending items to a customer comprising: causing a display of a hub associated with a primary item on a computer display; causing a display of a plurality of nodes on the computer display, wherein each of the nodes is associated with a secondary item; determining a first quantity related to a countable event associated with the primary item and each of the secondary items during a first period of time; determining a second quantity related to the countable event during a second period of time; and wherein a characteristic of each of the nodes on the computer display is based at least in part on at least one of the first quantity or the second quantity for each of the secondary items, and wherein the countable event is an order of the secondary item following a selection of the primary item by at least one customer. 30. The method according to claim 28 , wherein at least one of a size, a shape or a color of at least one of the plurality of nodes is based at least in part on at least one of the first quantity or the second quantity for the at least one of the secondary items associated with the at least one of the plurality of nodes.