Multi-view knowledge representation learning for personalized news recommendation

Multi-view knowledge representation learning for personalized news recommendation

Abstract In the rapidly evolving field of personalized news recommendation, capturing and effectively utilizing user interests remains a significant challenge due to the vast diversity and dynamic nature of user interactions with news content. Existing recommendation models often fail to fully integ...

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Bibliographic Details
Main Authors:	Chao Chang, Feiyi Tang, Peng Yang, Jingui Zhang, Jingxuan Huang, Junxian Li, Zhenjun Li
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	Scientific Reports
Subjects:	Personalized News Recommendation Multi-view Representation Learning Convolutional Neural Network Multi-head self-attention
Online Access:	https://doi.org/10.1038/s41598-025-85166-0
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