A customized non-exclusive clustering algorithm for news recommendation systems

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A customized non-exclusive clustering algorithm for news recommendation systems

Clustering is one of the main tasks in machine learning and data mining and is being utilized in many applications including news recommendation systems. In this paper, we propose a new non-exclusive clustering algorithm named Ordered Clustering (OC) with the aim is to increase the accuracy of news...

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Bibliographic Details
Main Authors:	Ibrahim, Hamidah, Sidi, Fatimah, Mustapha, Aida, Darvishy, Asghar
Format:	Article
Language:	English
Published:	University of Babylon 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/80406/ http://psasir.upm.edu.my/id/eprint/80406/1/CLUSTER.pdf

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