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Deviation Methods via Social Review Graph in Evaluation Systems of Online Store

机译:在线商店评估系统中基于社会评价图的偏差方法

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摘要

Evaluation system is an important issue in data mining. In evaluation system, all reviewers try to assign fair scores on a set of object. We want to obtain fair reviewers for all objects. However, it is the real fact that reviewer may deviate in their score assigned to the same object. Therefore, the deviation is unavoidable in evaluation systems. In this paper we define deviation of evaluation systems. Then, two novel methods are constructed to measure deviation: deviation from Correct-Core viewers and deviation from MaxGap-Coreviewers. The experimental results show that the proposed measure methods are efficient and can be used to solve deviation problem in evaluation systems effectively.
机译:评估系统是数据挖掘中的重要问题。在评估系统中,所有审阅者都尝试在一组对象上分配公平分数。我们希望获得所有对象的公正评论者。但是,真实的事实是审阅者分配给同一对象的分数可能会有所不同。因此,偏差在评估系统中是不可避免的。在本文中,我们定义了评估系统的偏差。然后,构造了两种新颖的方法来测量偏差:与正确核心查看器的偏差和与MaxGap-Coreviewer的偏差。实验结果表明,所提出的测量方法是有效的,可以有效地解决评估系统中的偏差问题。

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