Sentimentally enhanced conversation recommender system

Abstract Conversation recommender system (CRS) aims to provide high-quality recommendations to users in fewer conversation turns. Existing studies often rely on knowledge graphs to enhance the representation of entity information. However, these methods tend to overlook the inherent incompleteness o...

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Bibliographic Details
Main Authors: Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-024-01766-9
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