document: Rare item detection in e-commerce site As the largest online marketplace in the world , eBay has a huge inventory where there are plenty of great rare items with potentially large , even rapturous buyers . These items are obscured in long tail of eBay item listing and hard to find through existing searching or browsing methods . It is observed that there are great rarity demands from users according to eBay query log . To keep up with the demands , the paper proposes a method to automatically detect rare items in eBay online listing . A large set of features relevant to the task are investigated to filter items and further measure item rareness . The experiments on the most rarity-demand-intensitive domains show that the method may effectively detect rare items ( ) 90 % precision ) .
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