Extracting and visualizing trust relationships from online auction feedback comments
John O’Donovan, Barry Smyth, Vesile Evrim, Dennis J. McLeod · International Joint Conference on Artificial Intelligence · 2007
Buyers and sellers in online auctions are faced with the task of deciding who to entrust their business to based on a very limited amount of information. Current trust ratings on eBay average over 99% positive [13] and are presented as a single number on a user's profile. This paper presents a system capable of extracting valuable negative information from the wealth of feedback comments on eBay, computing personalized and feature-based trust and presenting this information graphically.