Who Will Trade With Whom? Predicting Buyer-Seller Interactions In Online Trading Platforms Through Social Networks
WWW '14: 23rd International World Wide Web Conference Seoul Korea April, 2014(2014)
摘要
In this paper we present the latest results of a recently started project that aims at studying the extent to which links between buyers and sellers, i.e. trading interactions in online trading platforms, can be predicted from external knowledge sources such as online social networks. To that end, we conducted a large-scale experiment on data obtained from the virtual world Second Life. As our results reveal, online social network data bears a significant potential (28% over the baseline) to predict links between buyers and sellers in online trading platforms.
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关键词
Seller buyer link prediction,online social networks,Second Life
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