文章基本信息

标题：TRIVIA: visualizing reputation profiles to detect malicious sellers in electronic marketplaces
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作者：Johannes Sänger ; Johannes Sänger ; Günther Pernul 等
期刊名称：Journal of Trust Management
电子版ISSN：2196-064X
出版年度：2016
卷号：3
期号：1
页码：1-22
DOI：10.1186/s40493-016-0026-8
语种：English
出版社：Springer
摘要：Abstract Reputation systems are an essential part of electronic marketplaces that provide a valuable method to identify honest sellers and punish malicious actors. Due to the continuous improvement of the computation models applied, advanced reputation systems have become non-transparent and incomprehensible to the end-user. As a consequence, users become skeptical and lose their trust toward the reputation system. In this work, we are taking a step to increase the transparency of reputation systems by means of providing interactive visual representations of seller reputation profiles. We thereto propose TRIVIA - a visual analytics tool to evaluate seller reputation. Besides enhancing transparency, our results show that through incorporating the visual-cognitive capabilities of a human analyst and the computing power of a machine in TRIVIA, malicious sellers can be reliably identified. In this way we provide a new perspective on how the problem of robustness could be addressed.
关键词：Reputation systems;Robustness;Attacks;Visual analytics