Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer reviews
نویسندگان
چکیده
منابع مشابه
Predicting The Helpfulness Of Online Product Reviewers: A Data Mining Approach
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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Social Media is a term that encompasses the platforms of New Media, but also implies the inclusion of systems like Facebook, and other things typically thought of as social networking. The idea is that they are media platforms with social components and public communication channels. Social media are primarily Internetbased tools for sharing and discussing information among human beings. Data m...
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Online review has been found to be import to online businesses. The sheer number of online reviews hinders websites users’ ability to draw useful information from previous users. Thus, a helpfulness mechanism which facilitates users to locate the most helpful reviews adds value to websites. This paper explores the helpfulness of online review from a cognitive science perspective. Drawing upon c...
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We present PGPI+ (Partial Graph Profile Inference+) an improved algorithm for user profiling in online social networks. PGPI+ infers user profiles under the constraint of a partial social graph using rich information about users (e.g. group memberships, views and likes) and handles nominal and numeric attributes. Experimental results with 20,000 user profiles from the Pokec social network shows...
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Interpersonal conversation, or word-of-mouth (WOM), is one of the important factors in affecting product sales (e.g. Herr et al. 1991, Laczniak et al. 2001). Potential buyers can gather information on the quality of the product through other consumers' WOM. WOM can not only increase product awareness among potential buyers but can also affect their buying decisions. With the development of onli...
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ژورنال
عنوان ژورنال: Electronic Commerce Research and Applications
سال: 2021
ISSN: 1567-4223
DOI: 10.1016/j.elerap.2020.101026