130 5 archive disk0/00/00/01/30 2009-04-06 19:12:37 2009-04-14 04:37:11 2009-04-06 19:12:37 conference_item show 0 Shen Dan eBay Research Laboratories Wu Xiaoyuan eBay Research Laboratories Bolivar Alvaro eBay Research Laboratories Poster Session Rare Item Detection in e-Commerce Site pub public poster 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-demandintensitive domains show that the method may effectively detect rare items (> 90% precision). 2009-04 1099-1099 18th International World Wide Web Conference Madrid, Spain April 20th-24th, 2009 conference TRUE 130 4 130 1 application/pdf en public
p1099.pdf
published p1099.pdf 626932 http://www2009.eprints.org/130/1/p1099.pdf