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Survey on Computational Trust and Reputation Models

机译:计算信任与声誉模型调查

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摘要

Over the recent years, computational trust and reputation models have become an invaluable method to improve computer-computer and human-computer interaction. As a result, a considerable amount of research has been published trying to solve open problems and improving existing models. This survey will bring additional structure into the already conducted research on both topics. After recapitulating the major underlying concepts, a new integrated review and analysis scheme for reputation and trust models is put forward. Using highly recognized review papers in this domain as a basis, this article will also introduce additional evaluation metrics to account for characteristics so far unstudied. A subsequent application of the new review schema on 40 top recent publications in this scientific field revealed interesting insights. While the area of computational trust and reputation models is still a very active research branch, the analysis carried out here was able to show that some aspects have already started to converge, whereas others are still subject to vivid discussions.
机译:在近年来,计算信任和声誉模型已成为改善计算机计算机和人机交互的宝贵方法。因此,已出版了大量的研究,试图解决打开问题并改善现有模型。该调查将为这两个主题进行额外的结构。在重新承载主要的潜在概念后,提出了一种新的综合审查和分析方案,以便进行声誉和信任模式。在该领域中使用高度认可的评论文件作为基础,本文还将引入额外的评估指标,以解释到目前为止的特征。随后在该科学领域的40个最近出版物上申请新的审查模式揭示了有趣的见解。虽然计算信任和声誉模型的领域仍然是一个非常活跃的研究分支,但这里进行的分析能够表明某些方面已经开始融合,而其他方面则仍然受到生动讨论的影响。

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