Papers with representing user interests and conversation content

1 papers
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse (N18-1)

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Challenge: Existing methods for recommendation focus on content of individual posts, but we exploit both context and user content and behavior preferences.
Approach: They propose a method that captures conversational context and user content and behavior preferences.
Outcome: The proposed method outperforms methods that only model content without considering discourse on two Twitter datasets.

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