Issue No.05 - September/October (2010 vol.14)
Albert Hupa , Institute of Applied Social Sciences, The University of Warsaw, Warsaw
Tomasz Kaszuba , Polish Japanese Institute of Information Technology, Warsaw
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2010.85
Electronic auction reputation systems have improved in recent years. However, most don't rely on user feedback but are still bound to old-fashioned comment counting while substantial information embedded in those comments is omitted. The authors' system manages and learns from user feedback and considers auctions' context, possible types of complaints, and the structure of connections between those complaints. They propose amplifying a reputation system algorithm to estimate the reported complaints' harmfulness. Their results are based on a real-world dataset from a leading Eastern European online auction provider.
reputation management, Internet fraud, electronic commerce, electronic auctions
Albert Hupa, Tomasz Kaszuba, "Advanced Feedback Management for Internet Auction Reputation Systems", IEEE Internet Computing, vol.14, no. 5, pp. 31-37, September/October 2010, doi:10.1109/MIC.2010.85