11. A system for generating recommendations, the system comprising: a data repository of item data, said item data including item attributes of a plurality of items; an item comparison system configured to use the item data, including the item attributes, to generate similarity scores for particular item pairs, each similarity score representing a degree to which two particular items are similar to each other; a data repository of item similarity data, said item similarity data identifying item pairs associated with similarity scores satisfying a selected threshold; a recommendation engine configured to generate a recommendation set based on user preference data associated with a target user, said recommendation set comprising a computer representation of items predicted to be of interest to the target user; a similar items filter configured to use the data repository of item similarity data to identify, in said recommendation set, one or more item pairs whose respective similarity scores satisfy said threshold, said similar items filter additionally configured to filter out, from the recommendation set, one item of each such identified item pair, to thereby prevent certain items from being recommended to the target user in combination, said similar items filter comprising a processor; and a server configured to generate, for display to the target user, a page that lists at least a portion of the filtered recommendation set, said page including one or more display elements for enabling the target user to initiate the display of one or more items filtered out from the recommendation set.
11. A system for generating recommendations, the system comprising: a data repository of item data, said item data including item attributes of a plurality of items; an item comparison system configured to use the item data, including the item attributes, to generate similarity scores for particular item pairs, each similarity score representing a degree to which two particular items are similar to each other; a data repository of item similarity data, said item similarity data identifying item pairs associated with similarity scores satisfying a selected threshold; a recommendation engine configured to generate a recommendation set based on user preference data associated with a target user, said recommendation set comprising a computer representation of items predicted to be of interest to the target user; a similar items filter configured to use the data repository of item similarity data to identify, in said recommendation set, one or more item pairs whose respective similarity scores satisfy said threshold, said similar items filter additionally configured to filter out, from the recommendation set, one item of each such identified item pair, to thereby prevent certain items from being recommended to the target user in combination, said similar items filter comprising a processor; and a server configured to generate, for display to the target user, a page that lists at least a portion of the filtered recommendation set, said page including one or more display elements for enabling the target user to initiate the display of one or more items filtered out from the recommendation set. 14. The system of claim 11 , wherein the one or more display elements includes, for a first item in the filtered recommendation set, a display element for initiating the display of at least one filtered-out item that is similar to said first item.