Paper Info
Title
A novel clustering-based RSS aggregator
Abstract
In recent years, different commercial Weblog subscribing systems have been proposed to return stories from users. subscribed feeds. In this paper, we propose a novel clustering-based RSS aggregator called as RSS Clusgator System (RCS) for Weblog reading. Note that 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 cluster all stories in RSS feeds into hierarchical structure to better serve the readers. Through this way, users can easily find all their interested stories. To make the system current, we propose a flexible time window for incremental clustering. RCS utilizes both link information and content information for efficient clustering. Experiments show the effectiveness of RCS.
Year
DOI
Venue
2007
10.1145/1242572.1242824
WWW
Keywords
Field
DocType
multiple rss,rss feed,rss aggregator,different topic,different story,interested story,similar topic,different perspective,different commercial weblog,rss clusgator system,rss,story,clustering
World Wide Web,Know-how,News aggregator,Computer science,Cluster analysis,RSS
Conference
Citations 
PageRank 
References 
20
0.90
3
Authors
7
Name
Order
Citations
PageRank
Xin Li150946.11
Jun Yan2179885.25
Zhihong Deng347540.12
Lei Ji4594.49
Weiguo Fan52055133.38
Benyu Zhang6213590.41
Zheng Chen75019256.89