A new web personalization decision-support artifact for utility-sensitive customer review analysis
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- 作者：Long Flory ; floryl@mymail.vcu.eduAuthor Vitae ; Kweku-Muata Osei-BrysonAuthor Vitae ; Manoj ThomasAuthor Vitae
- 关键词：Decision support ; Online review ; Review quality ; Web personalization ; Text mining ; Web 2.0
- 刊名：Decision Support Systems
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：94
- 期：Complete
- 页码：85-96
- 全文大小：1606 K
- 卷排序：94
文摘
This paper provides an effective and efficient solution for consumers’ sense-making of online reviews. Interactive web personalization artifacts are proposed with validating their superior performance. This paper contributes the knowledge of how-to-design decision support systems for consumers’ sense-making of online reviews. This paper contributes the first exemplifier for adequately validating the solutions of review quality research.