测试用于信息质量评估的传递信任算法

2012 IEEE International Conference on Computer Science and Automation Engineering Pub Date : 2012-06-22 DOI:10.1109/ICSESS.2012.6269579

M. Šajna

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引用次数: 0

摘要

万维网的信息质量(IQ)停滞不前;因此，对智商评估技术的需求是持续的。我们的研究致力于建立一个模型，该模型将在信任指标的帮助下采用社区驱动的个性化。本文给出了一系列实验结果，证明了两种传递信任算法的可行性和适用性。此外，我们已经在测试环境中对它们的有效性进行了基准测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Testing transitive trust algorithms for use in information quality assessment

Information quality (IQ) in the World Wide Web is stagnant; thus there is a constant need for IQ assessment techniques. Our research works towards a model, which would employ community-driven personalization with the help of trust metrics. This paper presents results from a series of experiments, which have proven the feasibility and suitability of two transitive trust algorithms for our research. Furthermore, we have benchmarked their effectiveness in the test environment.

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2012 IEEE International Conference on Computer Science and Automation Engineering

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