To identify the most interesting goods on the site, the researchers on the Discover project wrote an algorithm that measures factors including how much people interact with a listing (clicking on it, returning to it, forwarding it to friends), seller history (the seller is known to offer interesting things) and textual analysis (a longer seller's description of the product indicates more passion about the item).

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