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A Calculation Model for the Serviceable Evaluation of User Online Comment

机译:用户在线评论服务评价的计算模型

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摘要

Nowadays, users' online comments have become the most important access to information. Thus it becomes more and more necessary for us to judge and identify those helpful online comments. With analysis on the value of online comment, the clustering degree of online comment, the nature of online comment and the credibility of online commentator, this article studies the main influence factors of the serviceable evaluation of user online comment and creates a serviceability assessment mechanism of user online comment. After proposing a simple four-variable linear equation as the serviceable evaluation calculation model, this article uses multiple linear regression to validate the model, and successfully obtains the relative parameters with a specified sample.
机译:如今,用户的在线评论已成为获取信息的最重要途径。因此,我们越来越需要判断和识别那些有用的在线评论。通过分析在线评论的价值,在线评论的聚类程度,在线评论的性质和在线评论者的可信度,研究了影响用户在线评论可服务评估的主要因素,建立了用户在线评论可服务性评估机制。用户在线评论。在提出一个简单的四变量线性方程作为可使用的评估计算模型后,本文使用多元线性回归对该模型进行了验证,并成功获得了具有指定样本的相关参数。

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