A social information sensitive model for conversational recommender systems
Conversational recommender systems (CRS) facilitate natural language interactions for more effective item suggestions. While these systems show promise, they face challenges in effectively utilizing and integrating informative data with conversation history through semantic fusion. In this study we...
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| Main Authors: | Abdulaziz Mohammed, Mingwei Zhang, Gehad Abdullah Amran, Husam M. Alawadh, Ruizhe Wang, Amerah Alabrah, Ali A. Al-Bakhrani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3067.pdf |
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