Papers with graph-based NR methods

1 papers
DIGAT: Modeling News Recommendation with Dual-Graph Interaction (2022.findings-emnlp)

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Challenge: Existing news recommendation methods lack effective news-user feature interaction.
Approach: They propose to use news-graph and user-graph channels to enhance news encodings . they also propose to perform effective feature interaction between news and user graphs based on semantic-augmented graphs.
Outcome: The proposed graph attention networks outperform existing NR methods on the benchmark dataset MIND.

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