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Supporting consumer’s purchase decision: a method for ranking products based on online multi-attribute product ratings

机译:支持消费者的购买决策:根据在线多属性产品评级的排名方法

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摘要

Online product ratings, as a type of electronic word-of-mouth, play an important role for helping consumers select desirable products, but it is difficult for consumers to read a large number of online ratings on e-commerce Web site. To support consumer’s purchase decision, how to rank the candidate products based on online product ratings and consumer’s preferences is a noteworthy research topic, while the existing studies concerning this issue are still relatively scarce. This paper proposes a method for ranking products based on online multi-attribute product ratings. In the method, a discrete percentage distribution of the evaluation of each candidate product with respect to each attribute based on online ratings is first constructed, and the $$3sigma $$ 3 σ criterion is used to eliminate the anomalous ratings. Then, by defining of the stochastic dominance rules and the stochastic dominance degrees on comparing two discrete percentage distributions, the stochastic dominance relation between each pair of products is determined, and the corresponding stochastic dominance degree is calculated. Further, according to the obtained stochastic dominance degrees, the ranking of candidate products can be determined using the PROMETHEE-II method. A case study on selecting the automobile is given to illustrate the use of the proposed method.
机译:在线产品评级,作为一种电子话语,为帮助消费者选择理想的产品发挥重要作用,但消费者难以阅读大量在电子商务网站上的在线评级。为了支持消费者的购买决定,如何根据在线产品评级和消费者的偏好对候选产品进行排名,是一个值得注意的研究课题,而现有问题的研究仍然相对稀缺。本文提出了一种基于在线多属性产品评级的产品的方法。在该方法中,首先构建了基于在线额定值的每个属性对每个候选产品的评估的离散百分比分布,并使用$$ 3 Sigma $$3σ标准来消除异常额定值。然后,通过在比较两个离散百分比分布上定义随机优势规则和随机优势程度,确定每对产物之间的随机优势关系,并计算相应的随机优势度。此外,根据所获得的随机优势度,可以使用普通丙烯-II方法确定候选产品的排名。给出了选择汽车的案例研究说明了所提出的方法的使用。

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