Personal News RSS Feeds Generation Using Existing News Feeds

被引：0
|
作者：
Liu, Bin [1 ]
Han, Hao [1 ]
Noro, Tomoya [1 ]
Tokuda, Takehiro [1 ]
机构：
[1] Tokyo Inst Technol, Dept Comp Sci, Meguro Ku, Tokyo 1528552, Japan
来源：
WEB ENGINEERING, PROCEEDINGS | 2009年 / 5648卷
关键词：
EXTRACTION;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Nowadays more and more news sites publish news stories using news RSS feeds for easier access and subscription on the Wet,. Generally, news stories are grouped by several categories and each category corresponds to one news RSS feed. However there are no uniform standards for categorization. Each news site has its own way of categorization for grouping news stories. These dissimilar categorization can not always satisfy every individual user, and generally the provided categories are not detailed enough for personal using. In this paper, we proposed a method for users to create customizable personal news RSS feeds using existing ones. We implemented a news directory system (NDS) which can retrieve news stories by RSS feeds and classify them. Using this system, we can recategorize news stories from original RSS feeds, or subdivide one RSS feed to a more detailed level. With the classification information for each news-article, we offer customizable personal news RSS feeds to subscribers.
引用
收藏
页码：419 / 433
页数：15
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