A clustering method for news articles retrieval system

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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.

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Toda, H., & Kataoka, R. (2005). A clustering method for news articles retrieval system. In 14th International World Wide Web Conference, WWW2005 (pp. 988–989). https://doi.org/10.1145/1062745.1062832

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