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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通过社会评论图的偏差方法

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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一个重要问题。在评估系统中,所有审阅者都试图在一组对象上分配公平得分。我们希望为所有对象获得公平的审核人员。但是,审阅者可能偏离分配给同一对象的分数是实际情况。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,构建了两种新方法以测量偏差:偏离正确核心观众和与MaxGap-CoreViewers的偏差。实验结果表明,所提出的测量方法是有效的,可有效地解决评估系统的偏差问题。

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