A clustering method for news articles retrieval system

  • Authors:
  • Hiroyuki Toda;Ryoji Kataoka

  • Affiliations:
  • NTT Corporation, Kanagawa, Japan;NTT Corporation, Kanagawa, Japan

  • Venue:
  • WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
  • Year:
  • 2005

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Abstract

Organizing the results of a search facilitates the user in overviewing the information returned. We regard the clustering task as the tasks of making labels for a list of items and we focus on news articles and propose a clustering method that uses named entity extraction.