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Conceptual model for obfuscated TRUST induced from web analytics data for content-driven websites

机译:从内容驱动网站的Web分析数据中得出的混淆后的TRUST的概念模型

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Besides e-commerce, infobahn has become an imperative mediocre to provide significant content on services such as academics, medical, legal, relationships, meteorological, general knowledge, etc. to users in a judicious manner. To fascinate additional users to various content providers on the Web, it is essential to build a relationship of trust with them by meritoriously achieving online content optimization by estimating content items' attractiveness and relevance to users' interests. But more than building, the long term sustenance of TRUST is necessary to bind users with the website forever. The perseverance of the present study is to contribute in the effective measurement of TRUST evolved and maintained for Web mediated Information Exchange (W-MIE) or content websites over a long run.
机译:除电子商务外,信息高速公路已成为当务之急,必须以明智的方式向用户提供有关学术,医学,法律,关系,气象,常识等服务的重要内容。为了使其他用户对Web上的各种内容提供商感兴趣,必须通过评估内容项的吸引力和与用户兴趣的相关性来实现在线内容优化,从而与他们建立信任关系。但是,除了建立之外,TRUST的长期支持对于永久地将用户与网站绑定也是必要的。长期以来,本研究的毅力有助于有效评估Web介导的信息交换(W-MIE)或内容网站所形成和维护的TRUST。

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