RepRank: Reputation in a Peer-to-Peer Online System

被引：0
|
作者：
Shen, Zeqian [1 ]
Sundaresan, Neel [1 ]
机构：
[1] eBay Res Labs, 2145 E Hamilton Ave, San Jose, CA 95125 USA
来源：
PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'13 COMPANION) | 2013年
关键词：
Reputation; E-commerce;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Peer-to-peer e-commerce networks exemplify online lemon markets. Trust is key to sustaining these networks. We present a reputation system named RepRank that approaches trust with an intuition that in the peer-to-peer e-commerce world consisting of buyers and sellers, good buyers are those who buy from good sellers, and good sellers are those from whom good buyers buy. We propagate trust and distrust in a network using this mutually recursive definition. We discuss the algorithms and present the evaluation results.
引用
收藏
页码：163 / 164
页数：2
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