Attentive multi-view learning model learns unified news representations from titles, bodies and categories and user representations from browsed news to improve recommendation performance.
Dropout: a simple way to prevent neural networks from overfitting.JMLR, 15(1):1929–1958,
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Neural News Recommendation with Attentive Multi-View Learning
Attentive multi-view learning model learns unified news representations from titles, bodies and categories and user representations from browsed news to improve recommendation performance.