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
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