Designing Conversation-context Recommendation Display to Support Opportunistic Search in Meetings

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Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recomme ...

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One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users' commands, a task trivial for humans due to their common sense. In this paper, we propose a zeroshot commonsense reasoning system for c ...

Designing Conversation-context Recommendation Display to Support Opportunistic Search in Meetings

Chattez avec Graph Search

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