Advances in Social Computing and Multiagent Systems
Advances in Social Computing and Multiagent Systems
复制标题
社会计算和多代理系统的进展
DOI：
10.1007/978-3-319-24804-2_6
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Miles S
中科院分区：
文献类型：
--
作者：
Miles S
信誉使客户能够在供应商之间进行选择，并平衡风险与服务提供的其他方面。对于尚未建立跟踪记录的新供应商，负面评级可能会严重影响他们被选中的机会。现有的工作表明，恶意或不准确的评论以及主观差异是可以解释的。然而，如果情况不同，对服务提供情况进行诚实、平衡的审查仍然可能是预测未来业绩的一个不可靠的指标。具体而言，减轻处罚情节可能影响了先前的规定。例如，虽然递送服务通常可能是可靠的，但是特定递送可能被意外的洪水延迟。一个常见的方法来减轻这种影响是通过加权的影响，过去的事件对声誉的最近。在本文中，我们认为，它是更有效的查询服务提供的详细记录，使用模式描述的情况下，以确定以前的互动的意义。
Reputation enables customers to select between providers, and balance risk against other aspects of service provision. For new providers that have yet to establish a track record, negative ratings can significantly impact on their chances of being selected. Existing work has shown that malicious or inaccurate reviews, and subjective differences, can be accounted for. However, an honest balanced review of service provision may still be an unreliable predictor of future performance if the circumstances differ. Specifically, mitigating circumstances may have affected previous provision. For example, while a delivery service may generally be reliable, a particular delivery may be delayed by unexpected flooding. A common way to ameliorate such effects is by weighting the influence of past events on reputation by their recency. In this paper, we argue that it is more effective to query detailed records of service provision, using patterns that describe the circumstances to determine the significance of previous interactions.