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Building Trust In Online Reviews by a Customer through Linked Data

机译:客户通过链接数据构建信任

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摘要

Online reviews have a telling and profound impact on the customer or newbie who want to purchase or consume the product via e-commerce. The deluge of the reviews which are regularly fed into the site can't be read by the customers completely to make decisions. To make this simple, many summarization systems have come to provide a constructive view of the reviews. Customer does this by building trust on the reviews on the basis of 4 major points: (1) Electronic Word-of-Mouth [1] by close friends, family members, neighbors (2) Standard Expert reviews on that particular product (3) Customer who comments on the reviews on a regular basis in a transparent manner and (4) A good number of positive reviews. This paper talks about these points in web 3.0 perspective which can lay the foundation for automated knowledge gain through Linked Data [2] through a generic search interface.
机译:在线评论对想要通过电子商务购买或消耗产品的客户或新手的讲述和深刻的影响。客户删除定期送入该网站的卓越客户无法完全遵守决策。为了使这种简单,许多摘要系统已经来提供评论的建设性观点。客户通过基于4个重点的基础建立对审查的信任:(1)通过亲密的朋友,家庭成员,邻居(2)标准专家评论对该特定产品(3)的电子话语[1]顾客以透明的方式与定期评论评论和(4)批次的积极审查。本文讨论了Web 3.0透视图中的这些点,它可以通过通用搜索界面通过链接数据[2]为自动知识增益奠定基础。

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