Papers with sentiment-aware news representations

1 papers
SentiRec: Sentiment Diversity-aware Neural News Recommendation (2020.aacl-main)

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Challenge: Existing news recommendation methods rank candidate news based on relevance to users’ historical browsed news, but if browsed data is dominated by certain kinds of sentiment, the model may recommend news with the same sentiment.
Approach: They propose a sentiment diversity-aware neural news recommendation approach which can recommend news with more diverse sentiment without performance sacrifices.
Outcome: The proposed approach can improve the sentiment diversity in news recommendation without performance sacrifice.

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