A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata

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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata

One of the most commonly used of online services is news reading. A key challenge is selecting news articles from millions of sources considering user behavior and actual nature of news articles to recommend accurately. A personalized news recommendation system provides a news set that is extracted...

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Bibliographic Details
Main Author:	Darvishy, Asghar
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Online information services Algorithms Metadata
Online Access:	http://psasir.upm.edu.my/id/eprint/90771/ http://psasir.upm.edu.my/id/eprint/90771/1/FSKTM%202019%2060%20IR.pdf

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