With the development of Internet, the information which appears by text form is more and more frequent. It becomes one kind of the most easily to gain and the richest interactive resources. In recent years, different commercial Weblog subscribing systems have been proposed to return stories from users' subscribed feeds. An RSS feed may have several different topics. A user may only be interested in a subset of these topics. In addition there could be many different stories from multiple RSS feeds, which discuss similar topic from different perspectives. A user may be interested in this topic but do not know how to collect all feeds related to this topic. In contrast to many previous works, we will cluster all stories in RSS feeds into such a structure to better serve the readers. Through this way, users can easily find all their interested stories. In this paper, we propose a novel clustering-based RSS aggregator for Weblog reading from Internet.

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Web Blogs Rss Aggregator Clustering News Blogs Web Mining Xml