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