智能信息聚合关键技术研究

Wenqian Shang, Tong Wang, Rui Lv
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引用次数: 3

摘要

随着网络的发展,网上信息得到了极大的丰富。获得想要的信息越来越困难了。搜索引擎可以解决一些问题,但远远不能满足人们的需求。随着Web 2.0的发展,RSS技术可以解决一些问题,大大减少了垃圾邮件,但随着越来越多的频道出现,用户再次陷入“信息过载”的境地。因此,在本文中,我们使用机器学习技术和有效的文本分类技术在一定程度上解决了信息过载问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Key Technology Research of Intelligent Information Syndication
With the development of network, the online information has greatly enriched. It is increasingly difficult to obtain the desired information. The search engine can solve some problems, but far from satisfying people's needs. With the development of Web 2.0, RSS technology can solve some problems, greatly reducing spam, but as more and more channels appear, the user once again gets into the "information overload" situation. Therefore, in this paper, we use machine learning techniques and effective text classification techniques to solve the problem of information overload in a certain extent.
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