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

Xiujuan Xu, Xiaowei Zhao, Yu Liu, Zhenzhen Xu, Zhenlong Xu
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引用次数: 1

Abstract

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.
基于社会评论图的在线商店评价系统偏差方法
评价系统是数据挖掘中的一个重要问题。在评价系统中,所有的评价者都试图给一组对象分配公平的分数。我们希望对所有对象获得公平的审稿人。然而,这是真实的事实,评论者可能会偏离他们的分数分配给同一对象。因此,评价体系的偏差是不可避免的。本文给出了评价系统偏差的定义。然后,构建了两种测量偏差的新方法:Correct-Core观察者偏差和maxgap - co评论者偏差。实验结果表明,所提出的测量方法是有效的,可以有效地解决评价系统中的偏差问题。
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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