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Collective Intelligence Based Computational Approach to Web Intelligence

机译:基于集体智能的网络智能计算方法

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The World Wide Web has undergone major transformation during last few years, primarily due to its newly discovered ability to harness collective intelligence of the millions of users across the world. Users are no longer only passive consumers; they are actively participating to create new and useful content and more rich & personalized web applications. Techniques to leverage user contributions are on one hand making the Web a collective knowledge system (applications like Wikipedia), and on the other hand provide a new approach to mine the unstructured web-content for useful inferences & new knowledge. In this paper, we have discussed how the collective intelligence phenomenon is bringing about the paradigm shift in the Web; presented our experimental work on a social-inference oriented approach for opinion analysis on the Blogosphere.
机译:在过去几年中,全球网络经历了重大转型,主要是由于其新发现的能力利用全球数百万用户的集体智能。用户不再只有被动消费者;他们正在积极参与创建新的和有用的内容和更丰富和个性化的Web应用程序。利用用户贡献的技术是一方面制作网络是一个集体知识系统(类似维基百科这样的应用程序),另一方面为我的非结构化网上内容提供了一种新的方法,以获得有用的推论和新知识。在本文中,我们讨论了集体智能现象如何引起网络中的范式转变;提出了我们对博客圈的社会推断方法的实验工作。

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