Automatically Linking News Articles to Blog Entries
Automatically Linking News Articles to Blog Entries
复制标题
自动将新闻文章链接到博客条目
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
M. Okumura
中科院分区：
文献类型：
--
作者：
Daisuke Ikeda;Toshiaki Fujiki;M. Okumura
人们经常在他们的博客上写关于新闻文章或新闻文章中的事件。然而，在这种情况下，在这样的博客条目中，新闻文章或事件的细节往往描述得很差。因此，当博客的读者想要了解它们时，他们需要找到包含更多新闻文章细节的原始文章。在本文中，我们提出了一种将新闻文章链接到引用它们的博客条目的方法。由于博客条目和新闻文章被认为是非常不同的，所以常见的链接模型不适用。因此，我们同样使用向量空间模型来发现相似文档，但我们试图设计一种新的加权方法和距离度量来提高性能，考虑到博客条目和新闻文章文档集的属性。
People often write in their blogs about news articles or events in news articles. In this case, however, the details of the news articles or events are often poorly described in such blog entries. Therefore, the readers of blogs need to find the original articles, which contain more details of the news articles, when they want to know about them. In this paper, we propose a method for linking news articles to blog entries that refer to them. Since blog entries and news articles are considered to be rather different, the common model for linking is not applicable. Therefore, we similarly used a vector space model for finding similar documents, but we tried to devise a new weighting method and a distance metric to improve the performance, by taking into account the properties of blog entries and news articles document sets.