Enhancing conversational recommendations through contrastive user preference modeling
Abstract Conversational recommender systems (CRSs) aim to deliver items that best align with user preferences through interactive, multi-turn dialogues. While recent studies emphasize the value of incorporating sentiment signals into recommendation, most existing methods rely on a single user repres...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer
2026-04-01
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| Seria: | Discover Artificial Intelligence |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/s44163-026-00912-1 |
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