EGCR: Explanation Generation for Conversational Recommendation
Aug 20, 2022·
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1 min read
Bingbing Wen
Xuan Bu
Chirag Shah
Abstract
We study explanation generation for conversational recommendation systems, proposing EGCR to generate personalized, informative explanations during multi-turn recommendation dialogues.
Type
Publication
arXiv preprint
We propose EGCR, a framework for generating explanations in conversational recommendation scenarios that supports multi-turn dialogue and user-centric justification of recommendations.
