Predicting the Helpfulness of Online Customer Reviews across Different Product Types
نویسندگان
چکیده
منابع مشابه
Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content
Online reviews have received much attention recently in the literature, as their visibility has been proven to play an important role during the purchase process. Furthermore, recent theoretical insight argue that the votes casted on how helpful an online review is (review helpfulness) are of particular importance, since they constitute a focal point for examining consumer decision making durin...
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In this paper we present a novel approach to categorizing comments in online reviews as either a qualified claim or a bald claim. We argue that this distinction is important based on a study of customer behavior in making purchasing decisions using online reviews. We present results of a supervised algorithm for learning this distinction. The two types of claims are expressed differently in lan...
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For consumers, online product reviews have become an important source for product-related information. Furthermore, they represent a beneficial addition to online retailers’ websites. Due to the increasing amount of available product reviews, identifying the most helpful product reviews represents an important task in order to reduce information overload. Therefore, the factors influencing revi...
متن کاملHow can Product Text Snippets Benefit from Online Customer Reviews?
Product text snippets should highlight the product features that are appealing to customers. Nevertheless, the features in current product snippets mainly are often decided based on the understanding of vendors or advertisers, and may fail to contain the features appealing to customers. This paper investigates how product text snippets generation can benefit from online customer reviews. In doi...
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The purpose of this study is to propose a data mining approach to predict the helpfulness scores of online product reviewers. Such prediction can facilitate consumers to judge whether to believe or disbelieve reviews written by different reviewers and can help e-stores or third-party product review websites to target and retain quality reviewers. In this study, we identify eight independent var...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2018
ISSN: 2071-1050
DOI: 10.3390/su10061735