Real-Time Discovery of Currently and Heavily Viewed Web Pages

Real-Time Discovery of Currently and Heavily Viewed Web Pages
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实时发现当前浏览次数最多的网页

DOI:
10.1007/978-3-540-74063-6_20
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发表时间:
2006
期刊:
International Conference on Web Information Systems and Technologies
影响因子:
--
通讯作者:
M. Terada
M. Terada
中科院分区:
--
文献类型:
--
作者:
Kazutaka Maruyama;K. Takasuka;Yuta Yagihara;S. Machida;Yuichiro Shirai;M. Terada

文献摘要

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Web上的信息量呈爆炸性增长,用户很难找到自己想要的网页。解决这一问题的方法有一些,如语义网使网络信息系统化,搜索引擎算法的改进等。这些技术把Web当作一个巨大的数据库来处理,效果很好,但由于它们的时滞性,它们不能提供任何有用的解决方案来获取迅速扩展到世界各地的热点新闻。
The amount of information on web increases explosively, so it is difficult for web users to find web pages they want. There are some approaches to resolve this problem, such as semantic web which make web information systematic, the improvement of search engines’ algorithm, and so on. Dealing with web as a huge database, these technologies works well, however, they cannot provide any useful solutions to get hot news which expands quickly to the world because of their time lag.