A Multi-channel Dissemination System Based on Time-Series Clustering Mechanism for On-Line News Articles

  • Authors:
  • Koichi Matsumoto;Kazutoshi Sumiya;Kuniaki Uehara

  • Affiliations:
  • -;-;-

  • Venue:
  • DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
  • Year:
  • 2000

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Abstract

In this paper, we propose a multi-channel dissemination system with a clustering mechanism and a presentation technique for time-series on-line news articles on the Internet. We describe a detecting technique for articles whose topics are the same. These articles are called follow-up articles. In addition, we describe a calculating method for confidence level and scoop level assigned to news articles using temporal information. Furthermore we describe a prototype system called Carthage based on our proposed method. The system reconstructs all of the articles to follow-up article groups and distributes the article group with several user interfaces.