A clustering method for news articles retrieval system

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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--Search process, Clustering General Terms Algolithms, Experimentation Keywords Search result organization, Document clustering, Named entitiy

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Hiroyuki Toda, Ryoji Kataoka
• Keywords: Clustering Method, Clustering Task, Internet Technology, Subject Descriptors, WWW 2005