A clustering method for news articles retrieval system
Hiroyuki Toda, Ryoji Kataoka · 2005
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.