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MIND: A Large-scale Dataset for News Recommendation

MIND: A Large-scale Dataset for News Recommendation

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titles using CNN network by incorporating both word embeddings and the entity embeddings in-ferred from knowledge graphs. Wu et al. (2019a) proposed an attentive multi-view learning frame-work to represent news articles from different news texts such as title, body and category. They used an attention model to infer the interest of users

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