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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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/90771/1/FSKTM%202019%2060%20IR.pdf |