Categorization of the reviewers based on the preciseness of the consumers’ reviews in online retail marketplace

Anjan Dutta, Janapriyo Maitra, P. Ghosh, Punyasha Chatterjee, Takaaki Goto, S. Sen
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Abstract

In the last decade, huge growth is observed in the online marketplace. Consumers are increasingly engaged in online shopping due to its operational flexibility, huge product search space and diversified products. In this virtual marketplace, consumers make the purchase decision not only based on product specifications given by the seller but also considers the product reviews given by the peer customers. On the other hand, inconsistent reviews make the consumers confused and thus have a negative impact on the overall sales of a business entity. Therefore, identifying the reviewers giving precise and consistent opinions about the products is important for business organizations. In this work, a novel methodology is suggested to classify reviewers into different categories based on the preciseness of the reviews. Business entities can utilize the precise reviewers for getting genuine product feedback and encourage this group to promote their products resulting in increased business growth.
基于在线零售市场中消费者评论的准确性对评论者进行分类
在过去的十年里,在线市场出现了巨大的增长。由于其操作灵活、产品搜索空间大、产品种类多,消费者越来越多地参与到网络购物中来。在这个虚拟市场中,消费者不仅根据卖家给出的产品规格进行购买决策,还会考虑同行顾客对产品的评价。另一方面,不一致的评论会使消费者感到困惑,从而对企业实体的整体销售产生负面影响。因此,识别出对产品给出精确和一致意见的审稿人对商业组织来说是很重要的。在这项工作中,提出了一种新的方法,根据审稿人的准确性将审稿人划分为不同的类别。业务实体可以利用精确的审稿人来获得真实的产品反馈,并鼓励这个群体推广他们的产品,从而增加业务增长。
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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