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.

REFERENCES

• 1: A. Solomonoff, A. Mielke, M. Schmidt, and H. Gish, "Clustering speakers by their voices", Proc. ICASSP'98, pp. 757--760, 1998.
• 2: Jilin Chen , Jun Yan , Benyu Zhang , Qiang Yang , Zheng Chen, Diverse Topic Phrase Extraction through Latent Semantic Analysis, Proceedings of the Sixth International Conference on Data Mining, p.834-838, December 18-22, 2006 [doi>10.1109/ICDM.2006.61]
• 3: http://www.bloglines.com/
• 4: http://megite.com/
• 5: http://tailrank.com/
• 6: http://tech.memeorandum.com/
• 7: http://www.technorati.com/

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.3 Communications Applications
          Subjects: Information browsers

Additional Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.3 Clustering
          Subjects: Algorithms

General Terms:
Algorithms, Management

Keywords:
RSS, Weblog, clustering, story