【摘要】 【目的】针对中文网络客户评论,给出一种评论可信度排序模型,辅助消费者决策。【方法】构建评论可信度指标体系,借助Visual Studio程序开发平台对指标进行预调整和数值优化,进而采用问卷调查法获取指标打分,结合模糊层次分析法构建可信度排序模型。【结果】发现与网站原始评论排序相比,按模型获得的评论排序更科学合理,而无"有用性投票"的评论未必不可信,实验间接表明"有用性投票"对评论可信度重要,但非唯一的影响指标。【局限】指标权重设置存在主观性,应加强权重打分的专业性。【结论】本文的排序模型综合考虑多项指标及其预调整方法,为中文网络客户评论提供一种兼顾评论客观信息和语义特性的可信度排序方法。更多还原

【Abstract】 [Objective] This paper proposes a review credibility sorting model in order to assist customers to make the best shopping decision. [Methods] The review credibility indexes are adjusted and optimized on the Visual Studio application development platform. Through questionnaire investigation to obtain the indexes score, credibility sorting model is constructed by Fuzzy Analytic Hierarchy Process. [Results] The experiment resualts show that compared with the Web original reviews, the new reviews sorting method is more scientific and reasonable. Those reviews without "helpful vote" are not necessarily unreliable, so the "helpful vote" is important to review credibility, but not the only factor which determines the credibility. [Limitations] People have different attitudes on factor’s weight, so the future work should attach more importance to the expertise of rating factors. [Conclusions] The sorting model in this paper synthesizes several indexes and adjustment methods, thus it provides a new credibility sorting method which considering objective information and semantic features for the Chinese online customer reviews.更多还原