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An Initial Exploration on Intelligent Contents to Social Network Research Via Fuzzy Based Data Mining

机译:基于模糊数据挖掘的智能内容对社交网络研究的初步探索

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摘要

This paper focuses on recording how much a user is interested in the contents displayed on the web page with Fuzzy theory detection and finding out their relationship, as well as the rule of categorizing, via Data Mining technology, websites on-line into related communities. Then, proper adaptations of the web contents will be made in accordance with the most suitable positions of advertisements not only to meet the needs of the most majority of users but make the best benefit of advertisements.
机译:本文着重于通过模糊理论检测,记录用户之间的关系以及通过数据挖掘技术将网站在线分类为相关社区的规则来记录用户对网页上显示的内容有多大兴趣。然后,将根据最合适的广告位置对Web内容进行适当的调整,这不仅可以满足大多数用户的需求,而且可以使广告获得最大的收益。

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